Deployment of RDFa, Microdata, and Microformats on the Web -A Quantitative Analysis

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• 作者：Christian Bizer ; Kai Eckert ; Robert Meusel ; Hannes Mühleisen ; Michael Schuhmacher
• 关键词：Web Science ; Web of Data ; RDFa ; Microdata ; Microformats
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：8219
• 期：1
• 页码：33-48
• 全文大小：240KB
• 参考文献：1. Adida, B., Birbeck, M.: RDFa primer - bridging the human and data webs - W3C recommendation (2008), http://www.w3.org/TR/xhtml-rdfa-primer/
  2. Goel, K.: Extended schema.org news support (2011), http://blog.schema.org/2011/09/extended-schemaorg-news-support.html
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  4. Guha, R.V.: Schema.org support for job postings (2011), http://blog.schema.org/2011/11/schemaorg-support-for-job-postings.html
  5. Haas, K., Mika, P., Tarjan, P., Blanco, R.: Enhanced results for web search. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, pp. 725-34. ACM, New York (2011)
  6. Hickson, I.: HTML Microdata. Working Draft (2011), http://www.w3.org/TR/microdata/
  7. Mühleisen, H., Bizer, C.: Web data commons -extracting structured data from two large web corpora. In: LDOW 2012: Linked Data on the Web. CEUR Workshop Proceedings, vol.?937. CEUR-ws.org (2012)
  8. Mika, P.: Microformats and RDFa deployment across the Web (2011), http://tripletalk.wordpress.com/2011/01/25/rdfa-deployment-across-the-web/
  9. Mika, P., Potter, T.: Metadata statistics for a large web corpus. In: LDOW 2012: Linked Data on the Web. CEUR Workshop Proceedings, vol.?937. CEUR-ws.org (2012)
  
• 作者单位：Christian Bizer (26)
  Kai Eckert (26)
  Robert Meusel (26)
  Hannes Mühleisen (27)
  Michael Schuhmacher (26)
  Johanna V?lker (26)
  
  26. Data and Web Science Group, University of Mannheim, Germany
  27. Centrum Wiskunde & Informatica, Database Architectures Group, The Netherlands
  
• ISSN：1611-3349

文摘

More and more websites embed structured data describing for instance products, reviews, blog posts, people, organizations, events, and cooking recipes into their HTML pages using markup standards such as Microformats, Microdata and RDFa. This development has accelerated in the last two years as major Web companies, such as Google, Facebook, Yahoo!, and Microsoft, have started to use the embedded data within their applications. In this paper, we analyze the adoption of RDFa, Microdata, and Microformats across the Web. Our study is based on a large public Web crawl dating from early 2012 and consisting of 3 billion HTML pages which originate from over 40 million websites. The analysis reveals the deployment of the different markup standards, the main topical areas of the published data as well as the different vocabularies that are used within each topical area to represent data. What distinguishes our work from earlier studies, published by the large Web companies, is that the analyzed crawl as well as the extracted data are publicly available. This allows our findings to be verified and to be used as starting points for further domain-specific investigations as well as for focused information extraction endeavors.