Authors:
Wafa Ghemmaz
and
Fouzia Benchikha
Affiliation:
Abdelhamid Mehri Constantine2 University, Algeria
Keyword(s):
Data Integration, Semantic Web, Ontology, Linked Data, Instance Matching, ViewSameAs.
Abstract:
In recent years, the Web has evolved from a global information space of interlinked documents to a space where both documents and data are linked. To integrate and share data, instance matching has been become the fundamental issue especially with the rapid development of linked data. In this paper, we propose an instance matching approach based on two main processes: the former is based on property classification (IM_PC) and the later is based on ViewSameAs link (IM_VSA). To accelerate greatly the matching process, IM_PC determines at first the matching candidate by comparing the discriminative property values. Then, the refinement result is done by comparing the description property values. In IM_PC two links are established: identity SameAs link and a novel proposed link ViewSameAs that aims to keep track of instances which share similar discriminative property values. In instance matching, another problem should be addressed when instances may have different descriptions even if
their meanings are similar. So, this problem is addressed in IM_VSA process. The aim of this later is trying to get more identity link SameAs by Clustering instances matched with ViewSameAs. The Clustered instances are modeled as bags.
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