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Market Synopsis The analysis conducted by the data experts of Market Research Future Reports informs that the Marketing Attribution Software Market Analysis is speculated to display a promising CAGR of 15.3% during the assessment period. The increasing demand for optimizing the marketing expenditure of organizations is the most significant factor influencing the global marketing attribution software market 2020. Besides, the increasing adoption of developed technologies like AI is estimated to be a substantial element driving the global market. Moreover, the need for tracking customer behaviour for targeted marketing initiatives is another significant factor leading to market growth. In addition, the software also provides insights to review ROI and gives details with respect to the lead generation. Therefore, demand is estimated to increase swiftly during the review period. However, the security threats related to sensitive data of the organizations is estimated to be a major hindrance in market growth. Also, the expansion of the global marketing attribution software market is projected to be affected significantly due to the outbreak of COVID-19. The daily operations in various regions were put to a halt which immensely affected the manufacturing cycle of the product. Market Segmentation The worldwide marketing attribution software market can be classified on the basis of attribution, component, type, organization size, deployment mode, vertical, and region. Based on attribution type, the global marketing attribution software market can be classified into single-source attribution, multi-source attribution, and probabilistic or algorithmic attribution Based on component, the global marketing attribution software market can be classified into software and services. Based on organization size, the global marketing attribution software market can be classified into large enterprises and small and medium-sized enterprises. Based on deployment mode, the global marketing attribution software market can be classified into the cloud and on-premise. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/7475 Based on vertical, the global marketing attribution software market can be classified into retail, FMCG and consumer packaged goods, consumer electronics, IT telecom, BFSI, healthcare, travel and hospitality, media and entertainment, and others. Based on the region, the global marketing attribution software market can be classified into North America, Europe, Asia-Pacific, Middle East Africa, and South America. Regional Analysis Thorough research has been carried out for North America, Europe, Asia-Pacific, Middle East Africa, and South America. As per the evaluation, the market is projected to expand significantly during the assessment period. Among all regions, the global market is speculated to be dominated by North America. Among all nations in North America, the US and Canada are likely to make the most significant participation during the assessment period. Besides, it also consists of the nations that are technically well-equipped and adopt innovative digital technologies fast. The growing demand for tracking consumer behaviour and preference has resulted in the enlargement of regional market size. Besides, most of the established manufacturers are based out of the US and has a strong customer base. On the other hand, the European market is speculated to expand at the maximum CAGR during the assessment period from 2018 to 2023. The APAC region is speculated to augment substantially during the assessment period due to the presence of various startups which are acting as a market catalyst. Key Players The distinguished market competitors of the worldwide marketing attribution software market are Adobe Inc. (US), Google (US), Visual IQ – A Nielsen Company (US), SAP SE (Germany), Oracle Corporation (US), Analytic Partners, Inc. (US), Calibermind (US), Attribution LLC (US), Engagio (US), Singular (US), Wizaly (France), Rockerbox, Inc. (the US), Neustar, Inc. (the US), OptiMine (US), and Merkle Group Inc. (US), and a few others. Browse Complete Report @ https //www.marketresearchfuture.com/reports/marketing-attribution-software-market-7475 Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Market Structure Continued… Similar Report B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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Market Analysis The global Online Sports Betting Market is predicted to increase at a cagr of 13.6%, from USD 24,988.4 million in 2019 to USD 59,530.7 million by the forecast period. The global online sports betting market is expanding due to increased demand for sports, which is essential for reaching development goals. In a number of geographical, cultural, and political contexts, sport can play an important role in promoting societal integration and economic prosperity. Sports impact on social capital, culture, trust, and crime can help with increasing capital accumulation, thereby improving and strengthening market functioning. All these outcomes further reinforce each other to grow the market. Furthermore, participating in sports allows players to live longer and healthier lives. The global E-Sports market has been expanding in recent years, with an increasing number of players participating as competitors or spectators. The modern sports-only websites are now growing in popularity just like the traditional sports betting website, now offer chances to bet on events and tournaments, similar to how many people bet on E-Sports. The major growth factor of such market share would be the increasing sports demand and rising demand for e-Sports activities. The online sports betting market is seeing an increase in growth due to rising digital innovation. However, due to Government prohibitions, some nations are expected to put some restrain in the global market expansion. Then again, the enhancement of digital innovation through advanced programming and technological use can bring more opportunities in the global market due to high-quality games. COVID-19 Impact on the Worldwide Online Sports Betting Market The spread of new coronavirus has impacted numerous industries, including manufacturing, from raw material production to final product distribution. On the other hand, in order to track the spread of a deadly virus, governments around the world imposed restrictions on a variety of sporting activities. Scheduled events including the English Premier League, Serie A in Italy, La Liga in Spain, Super Lig in Turkey, and Major League Soccer in the United States were canceled or postponed due to a rise in the number of COVID-19 cases globally. Some organizations prefer to reschedule events in order to decrease expenditure losses, such as the Belgian Cup final, which was initially slated for March 2020 but was moved to August 1st. Another case in point is the African Nations Championship 2020 competition, which was scheduled to take place in Cameroon in April 2020 but has been postponed until further notice. Since governments imposed lockdowns to contain and monitor the spread of the fatal virus, a sizable percentage of the workforce has been instructed to remain indoors, resulting in a surge in demand for virtual entertainment and media. Microsoft, for instance, announced a large rise in multiplayer participation in March and April 2020. Furthermore, when physical venues stayed closed to prevent the spread of the virus, online casino gaming and fantasy sports betting grew by more than 30%. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/8641 Market Segmentation The global online sports betting market is classified into various segments based on sports type, by type, by application. Moreover, on the basis of sports type, the online sports betting market is bifurcated into football, cricket, tennis, baseball, volleyball, basketball, hockey, horse riding, boxing, golf, racing, and many others. Further, the football segment is sub-segments into FIFA, Premier League, UEA/EURO, and others. The market analysis report suggests that the FIFA segment has registered for acquiring the largest market value in the preview period and increasing at a CAGR of 125 in the forecast period. According to the by Type segment, the online sports betting market is classified into line-in-play, fixed old betting, daily fantasy, e-sports, exchange betting, spread betting, and others. The online sports betting market is again segregated into web-based and mobile-based based on the application segment. Regional Analysis According to the global market analysis report, the regional bifurcation of the online sports betting market includes North America, Europe, Asia-Pacific, and the rest of the world. Moreover, the market study also states that Europe has dominated the online sports betting market in the preview years and is expected to grow at a CAGR of 12.1%. The driving factor would be the increasing zeal of watching sports with the advancement of innovative game formats and gaming modes. However, during the forecast period, the North American market is predicted to grow at the fastest rate of 15.8%. Key Players Notable players in the worldwide online sports betting market include 888 Holdings PLC (UK), Flutter Entertainment PLC (UK), Bet365 Group Ltd (UK), Fortuna Entertainment Group (Netherlands), Churchill Downs Incorporated (US), Entain PLC (UK), DraftKings (US), Betsson AB (Sweden), Betfred Ltd (UK), Webis Holdings PLC (Isle of Man), Kindred Group PLC (Malta), Sportech PLC (UK), BetAmerica (US), HKJC Football Betting Limited (Hong Kong), and Megapari (Cyprus). Industry Updates In April 2019, Betfred made the debut of its American Sports betting platform at Betting on Sports America 2019 at Meadowlands, New Jersey. In January 2022, Inspired, one of the leading B2B gaming content providers, announced to have acquired Sportech Lotteries, Inc., a subsidiary of Sportech PLC. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/online-gambling-market-8641 Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Market Structure Continued… Similar Report** Open Source Intelligence (OSINT) Market By Security Type (Human Intelligence, Content Intelligence, Dark Web Analysis, Link/Network Analysis, Data Analytics, Text Analytics, Artificial Intelligence, Big Data, Others), Technology (Bid Data Software, Video Analytics, Text Analytics, Visualization Tool, Cyber Security, Web Analysis, Social Media Analysis, Others), Application (Military Defense, Homeland Security, Private Sector, Public Sector, National Security, Others) Voice Assistant Market** https //mrfrinformation.tistory.com/615 Network-Attached Storage Market** https //telescope.ac/information-technology-Lc1XMRDqL/5WlKY9Kx4 About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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Research Analysis The market research report profiles well-balanced information with previous as well as future results with an aim to offer a better understanding of the Recycled Thermoplastic Market. The market report further offers an in-depth view of the leading factors that are related to increasing the demand growth for Recycled Thermoplastic Market. Not only this but also in this study the readers can get an in-depth report of the possibilities in combination with the latest trends in the targeted market. It is also a detailed combination of 10 years old qualitative and quantitative analysis of the industry that has been presented in the report with an aim to help the market players to increase maximum profit in the sector. The market research report also provides information on the record of individual sales records that are made with the expected revenue over the forecast period. This research report provides an extensive examination of all the related segments present in the industry. Moreover, it throws light on the recent development as well as the opportunity is that is going on in the Recycled Thermoplastic Market. Get a Sample PDF File@ https //www.quincemarketinsights.com/request-sample-88267?pu Market Report Features Overview Of The Market Report The market research report offers a detailed quantitative as well as qualitative overview of the market for Recycled Thermoplastic Market on the basis of area, category, product, competitors, and application. In terms of expanded coverage, the market report is further extended in terms of end-user market analysis and the comprehensive producer profile. Market Segmentation Of Recycled Thermoplastic Market Market The market segmentation of the Recycled Thermoplastic Market is done on the basis of technology, product type, application, distribution channel, and end-user. Geographical segmentation is also being done to get valuable insights into the Recycled Thermoplastic Market. Geographical Analysis Doing the geographical analysis is very important to know about the broad feature of the market. In this section, the readers can get a comprehensive analysis of the Recycled Thermoplastic Market based on the geographical location. This section throws light on the demand and sales output for the Recycled Thermoplastic Market at the national and international levels. The study is being done taking into account some of the major geographic regions such as North America, Europe, Asia Pacific, South America, Middle East, and Africa. Make an Enquiry for purchasing this Report @ https //www.quincemarketinsights.com/enquiry-before-buying/enquiry-before-buying-88267?pu Market Key Highlights The market report on the Recycled Thermoplastic Market is a summary of the current market situation for the Recycled Thermoplastic Market. Moreover, the analysis provides information regarding the newly launched product and also the products that are to be launched during the forecast period. The study also includes minute details regarding market share, segment, trends, growth and forecast W Plastics, Plastipak Holdings, Inc., PARC Corporation, Clear Path Recycling, B. Schoenberg and Co., Custom Polymers Inc., RJM International Inc., Suez SA, Merlin Plastics Alberta Inc., Ricova International Inc. Quince Market Insights Top Trending Research Report* https //qmi189135117.wordpress.com/2022/09/16/cumene-sulfonic-acid-market-size-industry-growth-rate-global-share-upcoming-trends-leading-players-products-and-services-overview-forecast-to-2032/ https //qmi189135117.wordpress.com/2022/09/16/3-hexenyl-salicylate-market-key-findings-growth-prospects-and-size-by-country-top-manufacturer-expansion-plans-and-business-strategy-forecast-to-2032/ https //qmi189135117.wordpress.com/2022/09/16/ethylene-glycol-monostearate-market-trends-growth-size-swot-analysis-opportunity-assessment-by-forecast-to-2021-drivers-and-applications-are-pertinent-for-sustenance-during-the-forecast-period-20/ Details Contained In The Recycled Thermoplastic Market Report 2021 Market Overview 1.1 Market Introduction 1.2 Market Analysis By Type 1.2.1 Type 1 1.2.2 Type 2 1.3 Market Analysis By Applications 1.3.1 Application 1 1.3.2 Application 2 1.4 Market Analysis by Regions 1.4.1 North America 1.4.2 Europe 1.4.3 Asia Pacific 1.4.4 South America 1.4.5 the Middle East and Africa Market Scope Market Segmentation by type, application, end-users and regions Market Size estimation Market Competition Key Market Leaders Conclusions The market research report offers a detailed study of the Recycled Thermoplastic Market which include market shares, size and growth opportunities by applications, product types and geographic regions. Not only this but also the report also contains a detailed summary of the leading market players. The experts have also mentioned the market growth, threats, opportunities and risks. About Us QMI has the most comprehensive collection of market research products and services available on the web. We deliver reports from virtually all major publications and refresh our list regularly to provide you with immediate online access to the world’s most extensive and up-to-date archive of professional insights into global markets, companies, goods, and patterns. Contact us Quince Market Insights Phone +1 208 405 2835 Email sales@quincemarketinsights.com Website https //www.quincemarketinsights.com/
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Market Analysis The Email Marketing Industry is predicted to grow at a healthy 15.2% CAGR between 2020- 2027, states the recent Market Research Future (MRFR) analysis. Email marketing is more than merely sending mails. It has various features like reporting and analytics, campaign automation, scheduling, email builders, and design tools that allows enterprises in streamlining their marketing efforts. The key benefits of email market solution is in building customer loyalty, increasing the number of leads, and increasing sales. Various factors are fuelling the global email marketing market share. As per the recent MRFR market estimates, such factors include increasing digitalization worldwide, growing number of internet users, increasing trend of digital marketing, surge in the acceptance of smartphones and tablets, growing internet penetration even in remote or distant locations, increasing use during COVID-19 pandemic, launch of 5G network facility, rise in hosted service and email marketing providers, growing acceptance of digital literacy and awareness, and cheapening of tariff rates. On the contrary, budget constraints, lack of awareness among SMEs in developing economies, lack of infrastructure in emerging economies, growing security issues, and stringent regulations related to user data privacy may limit the global email marketing market growth over the forecast period. Get a Free Sample @ https //www.marketresearchfuture.com/sample_request/7426 Market Segmentation The MRFR report throws light on an inclusive segmental analysis of the global email marketing market based on industry vertical, deployment mode, organization size, and component. By component, the global email marketing market is segmented into services and solutions. By deployment mode, the global email marketing market is segmented into on-premises and cloud. By organization size, the global email marketing market is segmented into small enterprises, medium-sized enterprises, and large enterprises. Of these, the small and medium sized enterprises will lead the market over the forecast period. By industry vertical, the global email marketing market is segmented into IT and telecom, BFSI, media and entertainment, transportation and logistics, education, food and beverages, travel and hospitality, retail and consumer goods, and others. Regional Analysis By region, the global email marketing market covers the recent trends and growth opportunity across North America, Europe, the Asia Pacific (APAC), and Rest of the World (RoW). Of these, North America will dominate the market over the forecast period. The presence of large number of enterprises, high degree of digitalization, the increase in the application of convenient marketing, and the growing inclination of start-ups towards email marketing are adding to the global email marketing market growth in the region. In Europe, the global email marketing market is predicted to hold the second-largest share over the forecast period for the rise in the number of startups and the penetration of email marketing in different enterprises in the UK. In the APAC region, the global email marketing market is predicted to grow at a fast pace over the forecast period. Rapidly increasing number of enterprises, growing adoption of digital marketing solutions, presence of largest population of email users, the presence of several reputed companies, rapid globalization, the emergence of new companies, fast growing enterprises, and the increasing adoption of various digital marketing solutions by emerging companies are adding to the global email marketing market growth in the region. In RoW, the global email marketing market is predicted to have sound growth over the forecast period. Key Players The leading players profiled in the email marketing market report include Ontraport (US), Mailjet inc. (France), Constant Contact, Inc. (US), AWeber Communications (US), Pinpointe On-Demand, Inc. (US), Kevy (US), Adobe (US), SendinBlue (France), Salesforce.com, inc. (US), ActiveCampaign, LLC (US), Klaviyo (US), HubSpot, Inc. (US), Campaign Monitor (US), Zoho Campaigns (India), and GetResponse (Poland), among others. The global email marketing market is fragmented and also competitive with the presence of many domestic as well as international industry players. They have incorporated assorted strategies to stay at the forefront and also cater to the surging needs of the customers, including collaborations, partnerships, contracts, geographic expansions, new product launches, joint ventures, and more. Additionally, these players are also making heavy investments in research and development activities for strengthening their portfolios and also creating a hold in the market. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/email-marketing-market-7426 Industry Updates April 2021- Amazon is offering email marketing tool to its sellers. Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Markets Structure 3 Market Research Methodology 3.1 Research Process 3.2 Secondary Research 3.3 Primary Research 3.4 Forecast Model Continued… Similar Report B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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Marketing Attribution Software Market Analysis, Segments Of The Tech World, Key Vendors Trends, Opportunity and Forecast 2027, Market Research Future Market Synopsis The analysis conducted by the data experts of Market Research Future Reports informs that the Marketing Attribution Software Market Analysis is speculated to display a promising CAGR of 15.3% during the assessment period. The increasing demand for optimizing the marketing expenditure of organizations is the most significant factor influencing the global marketing attribution software market 2020. Besides, the increasing adoption of developed technologies like AI is estimated to be a substantial element driving the global market. Moreover, the need for tracking customer behaviour for targeted marketing initiatives is another significant factor leading to market growth. In addition, the software also provides insights to review ROI and gives details with respect to the lead generation. Therefore, demand is estimated to increase swiftly during the review period. However, the security threats related to sensitive data of the organizations is estimated to be a major hindrance in market growth. Also, the expansion of the global marketing attribution software market is projected to be affected significantly due to the outbreak of COVID-19. The daily operations in various regions were put to a halt which immensely affected the manufacturing cycle of the product. Market Segmentation The worldwide marketing attribution software market can be classified on the basis of attribution, component, type, organization size, deployment mode, vertical, and region. Based on attribution type, the global marketing attribution software market can be classified into single-source attribution, multi-source attribution, and probabilistic or algorithmic attribution Based on component, the global marketing attribution software market can be classified into software and services. Based on organization size, the global marketing attribution software market can be classified into large enterprises and small and medium-sized enterprises. Based on deployment mode, the global marketing attribution software market can be classified into the cloud and on-premise. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/7475 Based on vertical, the global marketing attribution software market can be classified into retail, FMCG and consumer packaged goods, consumer electronics, IT telecom, BFSI, healthcare, travel and hospitality, media and entertainment, and others. Based on the region, the global marketing attribution software market can be classified into North America, Europe, Asia-Pacific, Middle East Africa, and South America. Regional Analysis Thorough research has been carried out for North America, Europe, Asia-Pacific, Middle East Africa, and South America. As per the evaluation, the market is projected to expand significantly during the assessment period. Among all regions, the global market is speculated to be dominated by North America. Among all nations in North America, the US and Canada are likely to make the most significant participation during the assessment period. Besides, it also consists of the nations that are technically well-equipped and adopt innovative digital technologies fast. The growing demand for tracking consumer behaviour and preference has resulted in the enlargement of regional market size. Besides, most of the established manufacturers are based out of the US and has a strong customer base. On the other hand, the European market is speculated to expand at the maximum CAGR during the assessment period from 2018 to 2023. The APAC region is speculated to augment substantially during the assessment period due to the presence of various startups which are acting as a market catalyst. Key Players The distinguished market competitors of the worldwide marketing attribution software market are Adobe Inc. (US), Google (US), Visual IQ – A Nielsen Company (US), SAP SE (Germany), Oracle Corporation (US), Analytic Partners, Inc. (US), Calibermind (US), Attribution LLC (US), Engagio (US), Singular (US), Wizaly (France), Rockerbox, Inc. (the US), Neustar, Inc. (the US), OptiMine (US), and Merkle Group Inc. (US), and a few others. Browse Complete Report @ https //www.marketresearchfuture.com/reports/marketing-attribution-software-market-7475 Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Market Structure Continued… Similar Report B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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CSS3 【CSS3】これはやばい!覚えなくてもすぐに使える便利なCSS3ジェネレータまとめ。 - NAVER まとめ http //matome.naver.jp/odai/2132750704946539001 手間ひまかけずcss3だけでデザインしたい人のためのチュートリアル集22選 | Webデザインのレシピ http //www.so-network.biz/css/css3_ui/ 画像もFlashも無し! スタイルシートでローディング時のスピナーを生成する -CSS load.net | コリス http //coliss.com/articles/web-services/online-cssload-net.html [CSS]iPadの横向きと縦向きでレイアウトを変更するスタイルシート | コリス http //coliss.com/articles/build-websites/operation/css/css-ipad-layout-with-landscape-portrait-modes-by-matthewjamestaylor.html その他 ブログやウェブサイトですぐに役立つ「.htaccess」の設定のまとめ | コリス http //coliss.com/articles/build-websites/operations/htaccess-files-for-the-rest-of-us-by-net-tutsplus.html
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WEBアプリケーションに戻る タグ http //www.htmq.com/html/index.shtml 参照 radioタグとcheckboxタグ radioタグは1個選択可能。checkboxは複数選択可能 form action="/DynamicWEB/ShowDate" input type="checkbox" name="aaa" AAA br input type="checkbox" name="bbb" BBB br input type="checkbox" name="ccc" CCC br input type="submit" br /form 上記のリクエストは以下 ShowDateServlet start. key aaa, val[0] on key ccc, val[0] on 配列にする意味がないような。しかしこれが一般的な使い方でしょう。 配列を有効に活用するには以下の形式。 form action="/DynamicWEB/ShowDate" input type="checkbox" name="key" value="AAA" AAA br input type="checkbox" name="key" value="BBB" BBB br input type="checkbox" name="key" value="CCC" CCC br input type="submit" br /form 上記のリクエストは以下 key key, val[0] AAA key key, val[1] BBB diabled属性 HTML4.01では、inputタグ、TextAreaタグで使用可能。 divで画面を分割 head style type="text/css" #container{width 750px;text-align left;margin 0px auto;} #header{width 750px;margin 0px 0px 15px 0px;} !-- float 回りこみを許す -- #content{float left;width 590px;} #sidebar{float right;width 150px;padding 0px 0px 0px 10px;} !-- clear 回りこみを解除する -- #footer{clear both;width 750px;margin 15px 0px 15px 0px;} /style /head body div id="container" div id="header" ここがヘッダー /div div id="content" ここがコンテンツ /div div id="sidebar" ここがサイドバー /div div id="footer" ここがフッター /div /div /body 用語 項目 説明 備考 インライン要素 前後で改行されない ブロック要素 前後で改行される
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Market Scenario Logistic Software Market enables associations to organize complex activities and techniques from the purpose in starting to the place of utilization. Operations incorporates the board of the progression of data, material dealing with, stock, creation, bundling, warehousing, transportation, and conveyance. The calculated programming market assists associations with taking care of their coordinated operations, armada the executives, request arranging, ERP suites, stockroom the board, and transportation the executives. Also, it gives scanner tag programming and stock control instruments. Such components benefit clients to productively oversee tremendous volumes of stock and synchronizes processes across various offices and workers. This multitude of benefits push the calculated programming market development way higher. As per the calculated programming market examination, the expense effective and efficient elements of the planned operations programming are supporting the market potential throughout the long term. The presence of a competitive scene is additionally inciting to bring out better arrangements which thusly prompts the advancement of the strategic programming industry. A few grounded worldwide brands, just as new participants, are making vital consolidations and acquisitions to give clients a superior stage to overseeing strategies. Moreover, these sellers are chipping away at advancements and a more financially savvy programming portfolio that prompts advancing the strategic programming deals in the impending occasions. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/4420 Competitive Outlook The key players in the global logistic software market include- Digilogistics, Advantech Corporation, UTI Worldwide Inc., IBM Corporation, Hexaware Technologies, JDA Software, Oracle, Samsung Electronics Co, SAP AG, and Tech Mahindra, among others. The market for logistics software is highly competitive globally. Segmentation By Software Type The calculated programming market section based on programming type contains different administration apparatuses that can back out errands of associations. The section is bifurcated in the process of childbirth the executives, information the board, transportation the executives, and distribution centre administration. By Region In this section, the strategic programming market incorporates various areas like North America, Asia-Pacific, Europe, and the excess regions of the planet. The significant nations that add to the development of the market in the North American district are Canada, Mexico, the US. The Asia-Pacific district is bifurcated into Japan, China, India, and the remainder of the Asia Pacific area. Additionally, Europe is divided into France, Germany, the UK, and the remainder of Europe. By End-Users The end-client portion comprises of areas like telecom and IT, government and protection, medical care, car, oil and gas, modern, designing, and fabricating, and numerous others. Regional Analysis The calculated programming market examination is done on numerous topographies like North America, Asia-Pacific, Europe, and the leftover regions of the planet. The Asia-Pacific district represents the greatest strategic programming piece of the pie attributable to the expanding interest for very good quality innovation reception and taking off up hardware industry in the area. The nations like China, India, and Japan contribute the most to the development of the market size. Fast industrialization and digitalization will help the market development in Asia-Pacific in the gauge time frame. The developing medical services and IT area in the North American locale assist it with developing the operations programming interest in the district. It will advance the calculated programming market development of the district to the greatest potential sooner rather than later. Industry News Mechanization of distribution centres with advanced mechanics and coordinated operations programming will turn into an extraordinary pattern in the impending occasions. It will improve observing, getting just as dispatching of the items present in the stockroom. Inserted joining capacities will give programming as-an assistance organizations in the strategic space for offering esteem added administrations related with inventory network and planned operations information. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/logistic-software-market-4420 Table of Contents 1Executive Summary 2Scope of the Report 2.1Market Definition 2.2Scope of the Study 2.2.1Research objectives 2.2.2Assumptions Limitations 2.3Markets Structure Continued…. 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仕様 SGML(Standard Generalized Markup Language) ISO 8879 1986 JIS X 4151 1992 DSSSL(Document Style Semantics and Specification Language) DTD(Document Type Definition) DSDL(Document Schema Definition Languages) TEX HTML HTML 4.01 Specification HTML 5 XML XML1.0 XML1.1 SAX(Simple API for XML) XML-RPC XML Schema XSL(Extensible Stylesheet Language) XSLT(XSL Transformations) XPath(XML Path Language) XSL-FO(XSL Formatting Objects) XPL(XML Paper Specification) XUL(XML User Interface Language) XML Information Set, XML Infoset XML Schema TREX(Tree Regular Expressions for XML) RELAX(Regular Language description for XML) RELAX NG Namespaces in XML XML Signature XAdES(XML Advanced Electronic Signatures) XML Encryption SOAP Canonical XML XML Inclusions XQuery XPointer(XML Pointer Language) StAX(Streaming API for XML - Java SimpleXML - PHP System.Xml.XmlReader - .NET Framework JAXB(Java Architecture for XML Binding) XLink XML Media Types RFC 3023 Atom RFC4287 RFC5023 (Representational State Transfer) DocBook、RSS、MathML(Mathematical Markup Language)、ebXML、Scalable Vector Graphics (SVG)、 MusicXML VML(VoiceXML) XML Base ISO/IEC 8825-4 2002 Information technology -- ASN.1 encoding rules XML Encoding Rules (XER) ISO/IEC 8825-5 2004 Information technology -- ASN.1 encoding rules Mapping W3C XML schema definitions into ASN.1 ISO/IEC 9075-14 2006 Information technology -- Database languages -- SQL -- Part 14 XML-Related Specifications (SQL/XML) ISO 10303-28 2007 Industrial automation systems and integration -- Product data representation and exchange -- Part 28 Implementation methods XML representations of EXPRESS schemas and data, using XML schemas ISO/IEC 13250-3 2007 Information technology -- Topic Maps -- Part 3 XML syntax ISO/IEC 13522-5 1997 Information technology -- Coding of multimedia and hypermedia information -- Part 5 Support for base-level interactive applications ISO/IEC 13522-8 2001 Information technology -- Coding of multimedia and hypermedia information -- Part 8 XML notation for ISO/IEC 13522-5 ISO/IEC 18056 2007 Information technology -- Telecommunications and information exchange between systems -- XML Protocol for Computer Supported Telecommunications Applications (CSTA) Phase III ISO/IEC 19503 2005 Information technology -- XML Metadata Interchange (XMI) ISO/IEC 19776-1 2005 Information technology -- Computer graphics, image processing and environmental data representation -- Extensible 3D (X3D) encodings -- Part 1 Extensible Markup Language (XML) encoding ISO/IEC 22537 2006 Information technology -- ECMAScript for XML (E4X) specification ISO 22643 2003 Space data and information transfer systems -- Data entity dictionary specification language (DEDSL) -- XML/DTD Syntax ISO/IEC 23001-1 2006 Information technology -- MPEG systems technologies -- Part 1 Binary MPEG format for XML ISO 24531 2007 Intelligent transport systems -- System architecture, taxonomy and terminology -- Using XML in ITS standards, data registries and data dictionaries XHTML XHTML™ 1.0 The Extensible HyperText Markup Language (Second Edition) MHTML RFC2110 (旧) RFC2557 (新) MIMEタイプ Multipurpose Internet Mail Extensions (MIME) Part 1~3 RFC 2045, RFC 2046, RFC 2047 Multipurpose Internet Mail Extensions(MIME) Part Five Conformance Criteria and Examples RFC 2049 MIME Parameter Value and Encoded Word Extensions Character Sets, Languages, and Continuations RFC2231 Media Type Specifications and Registration Procedures RFC 4288 Multipurpose Internet Mail Extensions (MIME) Part Four Registration Procedures RFC 4289(旧RFC 2048) Returning Values from Forms multipart/form-data RFC2388 Internet Message Format RFC 5322 (旧RFC 822、RFC 2822) SMTP RFC5321, RFC2821, RFC821 Communicating Presentation Information in Internet Messages The Content-Disposition Header Field RFC2183 Uniform Resource Identifiers (URI) Generic Syntax RFC3986 (旧) RFC1738 Uniform Resource Locators (URL) RFC1808 Relative Uniform Resource Locators RFC2396 Uniform Resource Identifiers (URI) Generic Syntax IRI(Internationalized Resource Identifier) RFC 3987 XRI(Extensible Resource Identifier) The text/html Media Type RFC2854 仕様 マークアップ言語①視覚マークアップ(暗黙) ②手続きマークアップ(明示) ③意味マークアップ 他の用途での利用 Tex SGML(Standard Generalized Markup Language) HTML(HyperText Markup Language) XML(Extensible Markup Language) XHTML(Extensible HyperText Markup Language) マークアップ言語 コンピュータ言語の一種 GML(Generalized Markup Language)から派生 文章の構造(段落など)、見栄え(フォントサイズなど)に関する指定を文章とともにテキストファイルに記述するための言語 文章に対するそれらの指定をマークアップ (markup) と呼び、マークアップを記述するための文字列をタグ (tag) と呼ぶ テキスト+マークアップ命令 ①視覚・②手続き・③意味マークアップに分類 ①視覚マークアップ(暗黙) テキスト中の「手掛かり」から文書構造を推論 改行、スペース、行送り、中央ぞろえ等 ②手続きマークアップ(明示) ファイル中の出現順で処理系に解釈 テキストを並べ書式指定の命令(ディレクティブ)を指示 後にはそれらの効果を打ち消す命令 マクロやスタックモデルなどのより高度なシステムならば、この煩わしさは軽減される チューリング完全なプログラミング言語に相当 例:nroff, troff, TeX, Lout ③意味マークアップ 必ずしも特定の見栄えなどの処理上の意味を与えることなく、テキストの断片に印を付けていくもの 例えば、Atomシンディケーション言語には updated タイムスタンプを印すマークアップがあり、情報項目が最後にいつ更新されたのかを発行者が表明するのに使われる。 Atomの規格ではupdatedの意味するものについて論じており、そのマークアップ形式についても規定されているが、それがユーザに対してどのように表示されるのか、またそもそも表示されるべきなのかについては何の規定もない。このマークアップは処理系ごとに様々な用途に使われ、その中にはAtom言語の設計者たちが予想もしなかったものが多く含まれるだろう。SGMLとXMLは意味マークアップ言語の設計を支援するために設計された仕様(メタ言語)である。 以上は概念的な分類であって、実際にはどのシステムでも別種のマークアップが共存している。例えばHTMLでは、純粋な手続きマークアップ(ボールドのためのBなど)と純粋な意味マークアップ(BLOCKQUOTEやHREF属性など)が共存している。HTMLにはさらにPRE要素があり、視覚マークアップの領域を囲んで、テキストをタイプしたとおりに表示させることもできる。 マークアップ要素とその使用に関する規則は通例、特定の企業やコミュニティごとの様々な種類の文書に対応するため、標準化団体によって開発される。最初期の例としてはCALSがあり、アメリカ軍で技術マニュアルに利用されていた。すぐに大規模文書を管理する必要のある企業がこれに続きだし、航空機、電気通信、自動車、コンピュータハードウェアのマニュアル用のタグ群が開発された。これはこの種のマニュアルの多くが電子的に配布されるきっかけとなり、企業は1つの(意味マークアップによる)オリジナルから印刷物、オンライン、CD版などを作り出すことができた。特筆すべき例はサン・マイクロシステムズであり、ジョン・ボサック(en)がSGMLを複数媒体向けの文書配布に採用し、大幅なコスト削減を達成した。 よく知られたマークアップ言語 DocBook、MathML、SVG、Open eBook、TEI、XBRLなど 多くはテキストのためのものだが、その他の用途で使われる専門化された言語もある。 汎用マークアップとは意味マークアップの別名 現在のほとんどの意味マークアップシステムは文書を木構造に構造化する。また同時に、文書の一部分を文書内の他の箇所から参照する(クロス・リファレンス)手段を提供している。構造化によって、ソフトウェアが文書構造を(BLOBではないものとして)把握することができ、文書はデータベースとして扱うことが可能になる。リレーショナル・データベースが持っているような厳格なスキーマを持たないので、「半構造化データベース(semi-structured database)」と呼ばれる。 000年を過ぎたころから、木構造以外の文書構造に関する大きな関心が現れてきた。例えば、古代の宗教文学では文献構造(本、章、節、文)以外にも、修辞構造や散文構造が広く用いられる(ストーリー、引用章句、段落、など)。これらの文書単位は文中でたびたび交差するので、簡単には木構造のマークアップシステムでデータ化することはできない。このような構造をサポートする文書モデリングシステムにはMECS(ウィトゲンシュタインの作品を電子化するために開発された)、TEI Guidelinesの一部、LMNL、CLIX、などがある。 意味マークアップの第一の長所はその自由度だとみなされている。テキストの断片が「どのように表示されるべきか」ではなく「何であるか」と印されていたなら、その言語の設計者が予想もしていなかった便利な用途でその断片を処理する処理系が作られるかもしれない。例を挙げると、HTMLのハイパーリンクは、元々、リンクをたどる人の手で利用されるために設計されたが、WWW検索エンジンによって、インデックスするべき新しいリソースを発見するため、またウェブ上のリソースの人気を測るためにも利用されている。 意味マークアップはまた、必要になったときに文書の見栄えを変更する作業も単純化する。これは文書の見栄えと内容が密接に結びついていないからである。例えばイタリックを強調と外国語であることを示すために使うとする。ここで両方が単にイタリックと(視覚的にまたは手続き的に)マークアップされたなら、2つを選り分けることが困難になる。もし、あとから外国語をイタリックにしないと決め直したら、全てのイタリック部分を見直して、1つずつ選り分けるしか方法がない。しかし始めから、2つの場合が別のタグで(意味的に)マークアップされていたのなら、互いに干渉しあうことなく、見栄えの変更ができるようになる。 他の用途での利用 マークアップ言語のアイデアはテキスト文書に関するものとして生まれたが、ベクターグラフィックス、Webサービス、ウェブシンディケーション、セマンティック・ウェブ、ユーザーインタフェースなどの分野での利用も増えている。これらのほとんどはXMLのアプリケーションである。XMLを使用することで、複数のマークアップ言語を合成することが可能となる。例としては、XHTML+SMIL やXHTML+MathML+SVGがある。 Tex 数学書を業務品質で組むためのテキストやフォントに関する綿密なレイアウト機能を目標としている ユーザーに高いスキルを要求するため、主に学術分野で使われ、理数系の出版物・論文などではデファクトスタンダードとなっている。TeXのマクロパッケージであるLaTeXはTeX上で意味マークアップシステムを構築しており、広く用いられている。 SGML(Standard Generalized Markup Language) マークアップは文書の構造面に専念し、視覚的な表現に関しては処理系に任せるべきだ、という思想 文書にマークアップを含める構文や、どんなタグがどこで使えるのかなどを記述する構文(DTD)を規定 これによって、文書作成者は望むマークアップを、最も意図に近いものや母語で名前が付いているものなど、何でも作成し、利用することができた。それゆえ、SGMLは正しくはメタ言語であり、多くの具体的なマークアップ言語がそれから派生していった。80年代から現在に至るまで、ほとんどの新しいマークアップ言語はSGMLに基づいたものであった。TEIやDocBookなどがその例である。SGMLは1986年にISO 8879として国際標準になった。 非常に大きな規模の文書を扱う現場で広く受け入れられ、利用された。しかしながら、一般的には覚えるのが煩わしくて難しいとみなされている。これは多彩すぎる機能と高すぎる柔軟性を実現した副作用である。複雑な仕様の例として、SGMLでは終了タグ(または開始タグかその両方)が文脈によって省略可能となっているが、これは過労気味のサポートスタッフがマークアップを手動で行うような場合にキーストロークの節約が望まれている、との配慮によるものである。 World Wide Web(W3C)勧告 HTML(HyperText Markup Language) 1991年になると、SGMLが商用のデータベース用途にしか使われない傾向が強くなってきた。一方、(文書をプロプライエタリなバイナリフォーマットで保存する)WYSIWYGツールがその他の文書処理用途では受け入れられていた。 そんな折、SGMLの構文を使ってHTMLは作られた。 HTMLは他のSGMLベースのタグ言語とよく似ているが、よりシンプルなものとして誕生し、当初は形式的なDTDを持っていなかった。 DeRose はHTMLによる意味マークアップ(SGML)の使用が、ウェブに柔軟性と拡張性をもたらし、その成功の有力な要因となったと主張している(その他の要因にはURLの概念やブラウザの無料配布などがある)。現在、HTMLはおそらく世界で最もよく使われているマークアップ言語であろう。 しかしながら、HTMLがマークアップ言語であるという事実については異論を唱える研究者もいる。その異論とは、HTMLはタグの配置を制限しており、タグに他のタグ内に入れ子になることと文書のルートタグになることの両方を要求している、というものである。このため、そのような研究者たちはHTMLは階層型データモデルに従う「コンテナ言語」ではないかと述べている。 HTML4.01 SGMLに Strict、Transitional、FramesetがDTDで定義されている HTML5.0 XML(Extensible Markup Language) 対象をインターネット上の文書に特化することで、SGMLを単純化したサブセットを作ることが目的 XMLはSGMLと同じようにメタ言語である。また、("extensible"という名のとおり)利用者が必要な要素を追加したり、名前空間を使って複合文書を作ったりして拡張することが容易にできる。 名前空間などを用いないXML文書はSGML文書でもあるため、XMLへの乗り換えはそれほど困難でなく、既存のSGMLの利用者およびソフトウェアは比較的容易にXMLに移行することができた。XMLはSGMLの多くのより複雑な機能を省いており、学習や実装を容易にしている。他の改良点には、多言語環境でのSGMLの問題点を修正したことや、スキーマがない文書でも利用を可能にしたことなどがある。 XMLはそもそも文書や出版物などの半構造データのために設計されたものである。しかしながら、その単純さと柔軟性のバランスの良さから、他の用途でも急速に受け入れられていった。例えば、アプリケーション間でデータをやりとりするために利用されたり、アプリケーションの設定ファイルの構造として利用されたりもしている。 XHTML(Extensible HyperText Markup Language) 2000年の1月から、HTMLについてのすべてのW3C勧告は、SGMLではなくXMLに基づいたものになった。Extensible Hypertext Markup Language を略してXHTMLという。(XはExの発音から。) HTMLとXHTMLとの違いで顕著なものの1つ 「すべてのタグは閉じなければならない」 br のような「空の」HTMLタグは「閉じる」必要がある。XHTML 1.0勧告内のAppendixにあるHTML Compatibility Guidelines[5]では、 br / のように要素名の後に空白文字と斜線を入れて閉じる形を推奨している。 他に開始タグ内の属性値はすべて引用符 で囲わなければならないという点がある。 また、HTMLとは異なり、大文字と小文字は厳密に区別される。
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制限 セクション構造からのアウトライン抽出は HTML 4.4.11.1 に準拠。効率は考慮外。 Microdata アイテム抽出は HTML 5.2.5, 5.5.1 に準拠。ただし絶対 URI のチェックはしない。 どちらも抽出するだけ。 使用例 アウトライン var hapi = HTML_Outlines_and_Microdata_for_HTML_Browsers; // 文字列として確認 alert(hapi.createOutlineString(document)); // ul 要素を生成 var toc = hapi.createOutlineList(document); Microdata var hapi = HTML_Outlines_and_Microdata_for_HTML_Browsers; // 文書内のアイテムを JSON で抽出 var items = hapi.findAllItems(document); var jsonData = JSON.stringify(items); ソースコード if ( undefined === typeof Array.prototype.map) { Array.prototype.map = function (callbackfn) { var thisArg = arguments[1]; var result; var count; var i; if ( function !== typeof callbackfn) { throw new Error; } count = this.length; result = new Array(count); for (i = 0; i count; i++) { if (i in this) { result[i] = callbackfn.call(thisArg, this[i], i, this); } } return result; }; } if ( undefined === typeof Array.prototype.indexOf) { Array.prototype.indexOf = function (ceil, floor) { return function (searchElement) { var fromIndex = arguments[1]; var count = this.length; var i = Number(fromIndex) || 0; i = (i 0) ? ceil(i) floor(i); if (i 0) { i += count; } for (; i count; i++) { if (i in this) { if (this[i] === searchElement) { return i; } } } return -1; }; }(Math.ceil, Math.floor); } if ( undefined === typeof Array.prototype.filter) { Array.prototype.filter = function (callbackfn) { var thisArg = arguments[1]; var result; var count; var i; var v; if ( function !== typeof callbackfn) { throw new Error; } count = this.length; result = new Array; for (i = 0; i count; i++) { if (i in this) { if (callbackfn.call(thisArg, v = this[i], i, this)) { result[result.length] = v; } } } return result; }; } //////////////////////////////////////////////////////////////////////// var HTML_Outlines_and_Microdata_for_HTML_Browsers = new function () { /*@cc_on@*/ ////////////////////// // Outlines // var isSectioningContent = function () { var Names = /^(? section|nav|article|aside)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isSectioningRoot = function () { var Names = /^(? body|blockquote|details|fieldset|figure|td)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isHeadingContent = function () { var Names = /^(? h[1-6]|hgroup)$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var isHeadingGroupContent = function () { var Names = /^hgroup$/i; return function (node) { return node (node.nodeType === 1) Names.test(node.tagName); }; }(); var getLevel = function (elt) { if (isHeadingGroupContent(elt)) { return getHeadingGroupLevel(elt); } return getSingleHeadingLevel(elt); }; var getSingleHeadingLevel = function (elt) { return parseInt(elt.tagName.slice(-1)); }; var getHeadingGroupLevel = function (elt) { var maxLevel = Infinity; var currentLevel; var nodes = elt.childNodes; var node; var i; for (i = 0; node = nodes[i++];) { if (isHeadingContent(node)) { currentLevel = getSingleHeadingLevel(node); if (currentLevel maxLevel) { maxLevel = currentLevel; } } } return maxLevel; }; // function HTMLOutlinee(arg) { if (arguments.length 0) { if (arg) { var p; for (p in arg) { if (arg.hasOwnProperty(p)) { this[p] = arg[p]; } } } } } HTMLOutlinee.create = function (element) { return new HTMLOutlinee({ element element, sections [], parent null }); }; HTMLOutlinee.prototype = new function () { this.element = null; this.sections = null; this.parent = null; this.type = #outlinee ; this.addSection = function (section) { this.sections.push(section); section.outlinee = this; return section; }; this.getFirstSection = function () { return this.sections[0]; }; this.getLastSection = function () { var sections = this.sections; return sections[sections.length - 1]; }; this.toString = function () { return [object HTMLOutlinee] ; }; }; function HTMLSection(arg) { if (arguments.length 0) { if (arg) { var p; for (p in arg) { if (arg.hasOwnProperty(p)) { this[p] = arg[p]; } } } } } HTMLSection.create = function (heading, parent, outlinee) { return new HTMLSection({ heading heading, parent parent, children [], outlinee outlinee, associated [] }); }; (function () { this.heading = null; this.parent = null; this.children = null; this.outlinee = null; this.associated = null; this.type = #section ; this.appendChild = function (div) { this.children.push(div); div.parent = this; return div; }; this.hasChildSections = function () { var nodes = this.children; var nodeCount = nodes.length; var i; for (i = 0; i nodeCount; i++) { if (nodes[i] instanceof HTMLSection) { return true; } } return false; }; this.getLastSection = function () { var nodes = this.children; var nodeCount = nodes.length; var node; var i; for (i = nodeCount; i 0;) { node = nodes[i -= 1]; if (node instanceof HTMLSection) { return node; } } return null; }; this.associate = function (node) { this.associated.push(node); return node; }; this.toString = function () { return [object HTMLSection] ; }; }).call(HTMLSection.prototype); function createOutlinee(root) { var currentOutlinee = null; var currentSection = null; var stack = []; (function (root, callbackfn) { var node = root; var n; while (node) { callbackfn(node, enter ); if ((n = node.firstChild)) { node = n; continue; } do { callbackfn(node, exit ); if (node == root) { node = null; break; } if ((n = node.nextSibling)) { node = n; break; } } while ((node = node.parentNode)) } })(root, function (node, mode) { var top = stack[stack.length - 1]; if (top === node mode === exit ) { stack.pop(); } else if (isHeadingContent(top)) { ; } else if (mode === enter (isSectioningContent(node) || isSectioningRoot(node))) { if (currentOutlinee !== null currentSection.heading === null) { currentSection.heading = undefined; } if (currentOutlinee !== null) { stack.push(currentOutlinee); } currentOutlinee = HTMLOutlinee.create(node); currentSection = HTMLSection.create(null, currentSection, currentOutlinee); currentOutlinee.addSection(currentSection); } else if (mode === exit (isSectioningContent(node) stack.length 0)) { var outlinee = currentOutlinee; currentOutlinee = stack.pop(); currentSection = currentOutlinee.getLastSection(); currentSection.appendChild(outlinee); } else if (mode === exit (isSectioningRoot(node) stack.length 0)) { var outlinee = currentOutlinee; currentOutlinee = stack.pop(); currentSection = currentOutlinee.getLastSection(); while (currentSection.hasChildSections()) { currentSection = currentSection.getLastSection(); } currentSection.appendChild(outlinee); } else if (mode === exit (isSectioningContent(node) || isSectioningRoot(node))) { currentSection = currentOutlinee.getFirstSection(); } else if (currentOutlinee === null) {} else if (mode === enter isHeadingContent(node)) { if (currentSection.heading == null) { currentSection.heading = node; } else if (getLevel(node) = getLevel(currentOutlinee.getLastSection().heading)) { currentSection = currentOutlinee.addSection(HTMLSection.create(node, currentSection.parent, currentOutlinee)); } else { var candidateSection = currentSection; while (true) { if (getLevel(node) getLevel(candidateSection.heading)) { currentSection = candidateSection.appendChild(HTMLSection.create(node, candidateSection.parent, currentOutlinee)); break; } var newCandidateSection = candidateSection.parent; candidateSection = newCandidateSection; } } stack.push(node); } else {} if (mode === exit currentSection !== null) { currentSection.associate(node); } }); if (currentOutlinee === null) { return null; } return currentOutlinee; } var getTextContent = function (n) { switch (n.nodeType) { case 1 if (/^img$/i.test(n.nodeName)) { return n.alt; } if (/^input$/i.test(n.nodeName)) { return n.value; } return Array.prototype.concat.apply([], Array.prototype.map.call(n.childNodes, arguments.callee)).join( ); case 3 case 4 return n.data; default return ; } }; (function () { this.isSectioningRoot = function () { return isSectioningRoot(this.element); }; this.hasEffectiveSections = function () { var sections = this.sections; var section; switch (sections.length) { case 0 return false; case 1 return sections[0].isEffectiveSection(); default return true; } }; this.toJSON = function (internal) { var children = []; var sections = this.sections; var sectionCount = sections.length; var i; for (i = 0; i sectionCount; i++) { children = children.concat(sections[i].toJSON(true)); } if (internal !this.isSectioningRoot()) { return children; } return { type #root , context this.element.tagName, children children }; }; }).call(HTMLOutlinee.prototype); (function () { this.isEffectiveSection = function () { return isSectioningContent(this.outlinee.element) || this.hasChildSections() || this.heading !== null; }; this.toJSON = function () { var heading = this.heading; var tagName = this.outlinee.element.tagName; var id; var label; if (heading) { id = heading.id; label = getTextContent(heading); } else { if (heading === null) { label = (anonymous\x20 + tagName + ) ; } else { label = (undefined\x20 + tagName + ) ; } } var children = this.children; var childCount = children.length; var result = []; var i; for (i = 0; i childCount; i++) { result = result.concat(children[i].toJSON(true)); } return { context tagName, type #section , id id, label label, children result }; }; }).call(HTMLSection.prototype); // var outlineToList = function (jsonData, params) { var doc = params.ownerDocument; var list0 = doc.createElement(params.tagName || ul ); var item0 = doc.createElement( li ); var frag0 = doc.createDocumentFragment(); item0.appendChild(doc.createElement( a )).appendChild(doc.createTextNode( _ )); return (function (data) { var list; var item; var frag = frag0.cloneNode(false); var children = data.children; var childCount = children.length; var child; var i; var n; var s; if (childCount 0) { for (i = 0; i childCount; i++) { child = children[i]; item = item0.cloneNode(true); n = item.firstChild; if (child.type === #section ) { if ((s = child.id)) { n.href = # + encodeURIComponent(s); } n.firstChild.data = child.label; frag.appendChild(item); frag.appendChild(arguments.callee(child)); } } list = list0.cloneNode(false); list.appendChild(frag); } else { list = frag; } return list; })(jsonData); }; this.createOutlineList = function (root, doc) { var outlinee = createOutlinee(root); if (!doc) { doc = (root.nodeType === 9) ? root root.ownerDocument; } return outlineToList(outlinee.toJSON(), { ownerDocument doc, tagName ul }); }; var outlineToString = function (jsonData, level) { var tab = 2; if (!level) { level = 1; } var padding; var result = []; if (jsonData.type === #root ) { padding = new Array(level).join( \x20\x20 ) + = ; result.push(padding + [ + jsonData.context + ] ); level += tab; } var children = jsonData.children; var childCount = children.length; var child; var i; var c; if (childCount 0) { padding = new Array(level).join( \x20\x20 ) + + ; for (i = 0; i childCount; i++) { child = children[i]; if (child.type === #section ) { result.push(padding + [ + child.context + ] + child.label.replace(/^\s+|\s+$/g, ).replace(/(? \r\n|\r|\n)+/g, -- ).replace(/\s{2,}/g, \x20 )); } if ((c = arguments.callee(child, level + tab))) { result.push(c); } } } return result.join( \n ); }; this.createOutlineString = function (root) { var outlinee = createOutlinee(root); return outlineToString (outlinee.toJSON()); }; ////////////////////// // Microdata // var findItemProperties = function (root) { var push = Array.prototype.push; var filter = Array.prototype.filter; var isElement = function (n) { return n.nodeType === 1; }; var results = []; var memory = []; var pending = []; results.push(root); push.apply(pending, filter.call(root.childNodes, isElement)); /*@if(1)var a;if((a=root.getAttributeNode( itemref )) a.specified){@else@*/ if (root.hasAttribute( itemref )) { /*@end@*/ var refs; var TrailWS = /^\s+|\s+$/g; var WS = /\s+/; if ((refs = root.getAttribute( itemref /*@,0@*/)) (refs = refs.replace(TrailWS, ))) { refs = refs.split(WS); var refCount = refs.length; var doc = root.ownerDocument; var m; var i; for (i = 0; i refCount; i++) { if ((m = doc.getElementById(refs[i]))) { pending.push(m); } } } } while (pending.length 0) { var current = pending.shift(); if (memory.indexOf(current) = 0) { continue; } memory.push(current); /*@if(1)var a;if(!(a=current.getAttributeNode( itemscope ))||!a.specified){@else@*/ if (!current.hasAttribute( itemscope )) { /*@end@*/ push.apply(pending, filter.call(current.childNodes, isElement)); } /*@if(1)var a;if((a=current.getAttributeNode( itemprop )) a.specified){@else@*/ if (current.hasAttribute( itemprop )) { /*@end@*/ results.push(current); } } if ( undefined !== typeof root.compareDocumentPosition) { results.sort(function (e1, e2) { if (e1.isSameNode(e2)) { return 0; } if (0 !== (e1.compareDocumentPosition(e2) Node.DOCUMENT_POSITION_FOLLOWING)) { return -1; } return 1; }); } else { /*@if(1)results.sort(function(e1,e2){return e1.sourceIndex-e2.sourceIndex});@else@*/ var r1 = root.ownerDocument.createRange(); var r2 = root.ownerDocument.createRange(); results.sort(function (e1, e2) { r1.selectNode(e1); r2.selectNode(e2); return r1.compareBoundaryPoints(Range.START_TO_START, r2); }); /*@end@*/ } return results; }; var findAllItems_JSON = function (root) { var result = {}; var items = []; var elems = root.getElementsByTagName( * ); var elemCount = elems.length; var elem; var i; for (i = 0; i elemCount; i++) { elem = elems[i]; /*@if(1)var a;if(elem.nodeType===1 (a=elem.getAttributeNode( itemscope )) a.specified){@else@*/ if (elem.hasAttribute( itemscope )) { /*@end@*/ items.push(getObject_JSON(elem, [])); } } result[ items ] = items; return result; }; var getObject_JSON = function (item, memory) { var result = {}; memory.push(item); /*@if(1)var a;if((a=item.getAttributeNode( itemtype )) a.specified){@else@*/ if (item.hasAttribute( itemtype )) { /*@end@*/ result[ type ] = item.getAttribute( itemtype /*@,0@*/ ); } /*@if(1)var a;if((a=item.getAttributeNode( itemid )) a.specified){@else@*/ if (item.hasAttribute( itemid )) { /*@end@*/ result[ id ] = item.getAttribute( itemid /*@,0@*/ ); } var properties = {}; var elems = findItemProperties(item); var elemCount = elems.length; var elem; var i; var TrailWS = /^\s+|\s+$/g; var WS = /\s+/; for (i = 0; i elemCount; i++) { elem = elems[i]; /*@if(1)var a;if(!(a=elem.getAttributeNode( itemprop ))||!a.specified){@else@*/ if (!elem.hasAttribute( itemprop )) { /*@end@*/ continue; } var names = elem.getAttribute( itemprop /*@,0@*/ ).replace(TrailWS, ); if (!names) { continue; } names = names.split(WS); var value; /*@if(1)var a;if((a=elem.getAttributeNode( itemscope )) a.specified){@else@*/ if (elem.hasAttribute( itemscope )) { /*@end@*/ if (memory.indexOf(elem) 0) { value = getObject_JSON(elem, memory); } else { value = ERROR ; } } else { switch (elem.tagName.toUpperCase()) { case META value = elem.content || ; break; case EMBED case IFRAME case IMG value = elem.src || ; break; case AUDIO case SOURCE case TRACK case VIDEO value = elem.src; if ( undefined === typeof value) { value = elem.getAttribute( src /*@,0@*/ ) || ; } break; case A case AREA case LINK value = elem.href; break; case OBJECT value = elem.data; break; case TIME value = elem.dateTime; if ( undefined === typeof value) { value = elem.getAttribute( datetime /*@,0@*/ ) || ; } break; default /*@if(1)var s;if( undefined !==typeof(s=elem.innerText)){value=s}@else@*/ value = elem.textContent; /*@end@*/ break; } } var nameCount = names.length; var name; var j; for (j = 0; j nameCount; j++) { name = names[j]; if (properties.hasOwnProperty(name)) { properties[name].push(value); } else { properties[name] = [value]; } } } result[ properties ] = properties; return result; }; this.findAllItems = findAllItems_JSON; }; 初出 2011-09-04/05 修正 2012-03-05