Abstract:

This article presents an enterprise knowledge management model in a Semantic Web application and performs a comparative analysis of the ways to optimize access to semantic data. In the Semantic Web, inference enables performing queries that make semantic matching based on meaningful relationships among pieces of data. The case study presents a Semantic Web application managed using the RDF data model and a relational database. The performance of the semantic model is emphasized through the study of the inference methods and of the parallel execution parameters for the queries on the analyzed RDF graph.