Exploring the Potential for Mapping Microdata and the Web of Linked Data

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 390)


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, 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 and the Web of Linked Data. First, mappings between 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.


Ontologies microformats Linked Data LOV 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Information Engineering Research Unit, Computer Science DepartmentUniversity of AlcaláAlcalá de HenaresSpain

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