Paper Info
Title
Exploring the Potential for Mapping Schema.org Microdata and the Web of Linked Data.
Abstract
In recent years the exposure of Linked Open Data (LOD) has become widespread, with an increasing number of datasets available and enabling new opportunities for interlinking. In parallel, microdata in several forms has also proliferated mainly as a means to improve the effectiveness of search engines. Concretely, Schema. org consists of a vocabulary for microdata that enriches the information on pages, helping search engines to provide better results. In this paper we explore the potential of mapping Schema. org and the Web of Linked Data. First, mappings between Schema. org terms and terms in Linked Open Vocabularies (LOV) are extracted. Then we use these mappings to obtain an analysis, aimed at gaining insights about the potential impact of this vocabulary in the Web of Linked Data. The results show that is easier to find a mapping between classes than between properties, but the occurrences of these are many more in LOD.
Year
DOI
Venue
2013
10.1007/978-3-319-03437-9_27
Communications in Computer and Information Science
Keywords
Field
DocType
Ontologies,microformats,Schema.org,Linked Data,LOV
Ontology (information science),Data mining,World Wide Web,Search engine,Information retrieval,Computer science,Linked data,Microdata (HTML),Schema.org,Vocabulary,Linked open vocabularies
Conference
Volume
ISSN
Citations 
390
1865-0929
1
PageRank 
References 
Authors
0.43
11
4
Name
Order
Citations
PageRank
Alberto Nogales143.21
Miguel-Ángel Sicilia247961.55
Elena GarcíA-Barriocanal342251.53
Salvador Sánchez Alonso419329.09