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

Bizer, Christian ; Eckert, Kai ; Meusel, Robert ; Mühleisen, Hannes ; Schuhmacher, Michael ; Völker, Johanna

Additional URL:
Document Type: Conference or workshop publication
Year of publication: 2013
Book title: The Semantic Web - ISWC 2013 : 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part II
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 8219
Page range: 17-32
Date of the conference: Oct. 21-25, 2013
Publisher: Alani, Harith
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-642-41337-7
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-)
School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Classification: CCS:
Keywords (English): Web Science , Web of Data , RDFa , Microdata , Microformats
Abstract: 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.

Dieser Eintrag ist Teil der Universitätsbibliographie.

Metadata export


+ Search Authors in

+ Page Views

Hits per month over past year

Detailed information

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item