Arcabouço comparativo de ferramentas para integração semântica de dados tabulares

Abstract

Comma-Separated Values (CSV) is used due to its low computational cost, on the other hand it is necessary to integrate it with a high-level repository to aggregate value to the data. In addition, Linked Data (LD) brought a new approach to enrich data and generate knowledge. Institutions in the most diverse areas can extract more knowledge from the data when it is coated in a semantic format. Each semantic tool has different features that directly impact the integration of LD from CSV. Hence, it is a recurring problem to know if the tool has all the features required for an integration project. This work proposes an objective evaluation of the features present in the tools that perform the semantic integration of data in CSV. The classification uses the features created in the literature in a new structure with their grouping. The salient features in the classification form the comparative framework that uses a positive number line facilitating the evaluation of the tools. The classification and framework can be used in all areas where there is semantic integration of data. The result of this work is possible to evaluate the features implemented in the tools that generate semantic integration in an agile comparative analysis.