A Proposal for Profiling Datasets on the Web with Semantic Enrichment

• Natacha Targino Federal University of Pernambuco
• Damires Souza Federal Institute of Education, Science and Technology of Paraíba
• Ana Carolina Salgado Federal University of Pernambuco

DOI: https://doi.org/10.5753/sbbd.2017.171425

Abstract

The lack of metadata to describe datasets published on the Web makes their location and access by search engines or applications more difficult. Providing a dataset profile facilitates communication between publishers and consumers and also the integrated use of datasets. This paper proposes an approach that describes datasets on the Web by the generation of a semantically enriched descriptive and structural metadata profile. The enrichment occurs by means of the knowledge domain identification of the dataset at hand and a vocabulary recommendation in order to semantically reference the data. This work presents some accomplished experiments that indicate the relevance of this enrichment.

Keywords: Web Data, Metadata, Semantic Enrichment

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