LogMap+: Relational data enrichment and linked data resources matching

Abstract

Relational database to ontology mapping and ontology matching techniques are mostly addressed separately, even though it is known that the real power of semantic data lies in data interconnection. The latter is especially important when designing a new ontology, which often includes at least some of the concepts that already exist in the linked open data cloud. Thus, in this paper we describe a new end-to-end tool LogMap+ for transformation of relational data into an ontology and matching it against a pre-existent semantic source. Apart from offering the efficient web-based application, the main contributions are the improvements of the domain specific LogMap system. We evaluate our general tool against OAEI 2014 challenge datasets and achieve comparable results to the top performing algorithms and also outperform the domain specific LogMap tool.