Proposta de metodologia para avaliar o enriquecimento semântico de objetos publicados na web através do Linked Data

Abstract

The Semantic Web has emerged to facilitate the sharing of information by users, assigning meaning to existing content. To assist in this process came the "Linked Data", a set of principles whose purpose is to facilitate interoperability between systems. However, the different vocabularies used by the various sources of information and the absence of standards for data publication end up hampering the process of representing the knowledge and quality of the data made available on the web. This research aims at the semantic enrichment of objects published on the web through Linked Data. As a work methodology, abibliographic survey was carried out to construct the theoretical methodological reference of this study. In the Review of Literature were presented concepts, tools and technologies related to the theme. The construction of the theoretical methodological foundations allowedthe creation of a Matrix of Techniques and Resources for the Semantic Enrichment of Objects - Matrix TRESO. The created matrix was applied in the BIBFRAME and EDM data models to verify if the data models applied semantic enrichment of objects during the publication in Linked Data. As results of this study, a methodology was proposed to evaluatethe semantic enrichment of objects published in Linked Data