A web-scale study of the adoption and evolution of the schema.org vocabulary over time

Meusel, Robert ; Bizer, Christian ; Paulheim, Heiko

DOI: https://doi.org/10.1145/2797115.2797124
URL: http://dl.acm.org/citation.cfm?id=2797124
Additional URL: http://de.slideshare.net/RobertMeusel/a-webscale-s...
Document Type: Conference or workshop publication
Year of publication: 2015
Book title: Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics, WIMS 2015, Larnaca, Cyprus, July 13-15, 2015
The title of a journal, publication series: WIMS '15
Page range: Article 15, 1-11
Conference title: WIMS 2015
Location of the conference venue: Larnaca, Cyprus
Date of the conference: July 13-14, 2015
Publisher: Akerkar, Rajendra
Place of publication: New York, NY
Publishing house: ACM
ISBN: 978-1-4503-3293-4
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-)
School of Business Informatics and Mathematics > Web Data Mining (Juniorprofessur) (Paulheim 2013-2017)
Subject: 004 Computer science, internet
Classification: CCS: H.3.5 ,
Abstract: Promoted by major search engines, schema.org has become a widely adopted standard for marking up structured data in HTML web pages. In this paper, we use a series of large-scale Web crawls to analyze the evolution and adoption of schema.org over time. The availability of data from different points in time for both the schema and the websites deploying data allows for a new kind of empirical analysis of standards adoption, which has not been possible before. To conduct our analysis, we compare different versions of the schema.org vocabulary to the data that was deployed on hundreds of thousands of Web pages at different points in time. We measure both top-down adoption (i.e., the extent to which changes in the schema are adopted by data providers) as well as bottom-up evolution (i.e., the extent to which the actually deployed data drives changes in the schema). Our empirical analysis shows that both processes can be observed.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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