PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Content and structure in the aspect of semi-automatic ontology extension
Inna Novalija and Dunja Mladenić
In: 32nd International Conference on Information Technology Interfaces, 21 - 24 June 2010, Cavtat, Dubrovnik, Croatia.

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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:7486
Deposited By:Jan Rupnik
Deposited On:17 March 2011