Content and structure in the aspect of semi-automatic ontology extension
Inna Novalija, Dunja Mladenić
Abstract
Inna Novalija, Dunja Mladenić
Abstract
We address the process of semi-automatic ontology extension using ontology content and in ontology structure. To evaluate the proposed approach, we have conducted experiments on real data from two domains comparing several measures for ranking correspondence between present ontology concepts and new domain concepts suggested for ontology extension. The best results are achieved by combining content and structure information and giving more weight to ontology content. Importance of using ontology structure in addition to ontology content depends on the data used to extend the ontology. In our experiments the ontology structure turned out to be less important for our financial data than for fisheries & aquaculture data.
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We address the process of semi-automatic ontology extension using ontology content and in ontology structure. To evaluate the proposed approach, we have conducted experiments on real data from two domains comparing several measures for ranking correspondence between present ontology concepts and new domain concepts suggested for ontology extension. The best results are achieved by combining content and structure information and giving more weight to ontology content. Importance of using ontology structure in addition to ontology content depends on the data used to extend the ontology. In our experiments the ontology structure turned out to be less important for our financial data than for fisheries & aquaculture data.
Key concepts: Ontology, Ontology-based data integration, Process ontology, Upper ontology, Suggested Upper Merged Ontology, Computer science, Ontology alignment, Information retrieval