论文信息 - Towards Embedded Markup of Learning Resources on the Web: An Initial Quantitative Analysis of LRMI Terms Usage

Towards Embedded Markup of Learning Resources on the Web: An Initial Quantitative Analysis of LRMI Terms Usage

Embedded markup of Web pages have emerged as a significant source of structured data on the Web. In this context, the LRMI initiative has provided a set of vocabulary terms, now part of the schema.org vocabulary, to enable the markup of resources of educational value. In this paper we present a preliminary analysis of the use of LRMI terms on the Web by assessing LRMI-based statements extracted from the Web Data Commons dataset.

Davide Taibi | Stefan Dietze

[1] Heiko Paulheim,et al. Heuristics for Fixing Common Errors in Deployed schema.org Microdata , 2015, ESWC.

[2] Daniela Giordano,et al. Linked education: interlinking educational resources and the Web of data , 2012, SAC '12.

[3] Daniela Giordano,et al. Interlinking educational resources and the web of data: A survey of challenges and approaches , 2013, Program.

[4] Wolfgang Nejdl,et al. A Scalable Approach for Efficiently Generating Structured Dataset Topic Profiles , 2014, ESWC.

[5] Mathieu d'Aquin,et al. Assessing the educational linked data landscape , 2013, WebSci.

[6] Christian Bizer,et al. The WebDataCommons Microdata, RDFa and Microformat Dataset Series , 2014, International Semantic Web Conference.

[7] Davide Taibi,et al. Exploring type-specific topic profiles of datasets: a demo for educational linked data , 2014, International Semantic Web Conference.