Enhancing ontological knowledge through ontology population and enrichment

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Abstract

Ontologies are widely used for capturing and organizing knowledge of a particular domain of interest. This knowledge is usually evolvable and therefore an ontology maintenance process is required to keep the ontological knowledge up-to-date. We proposed an incremental ontology maintenance methodology which exploits ontology population and enrichment methods to enhance the knowledge captured by the instances of the ontology and their various lexicalizations. Furthermore, we employ ontology learning techniques to alleviate as much as possible the intervention of human into the proposed methodology. We conducted experiments using the CROSSMARC ontology as a case study evaluating the methodology and its partial methods. The methodology performed well enhancing the ontological knowledge to 96.5% from only 50%. © Springer-Verlag Berlin Heidelberg 2004.

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Valarakos, A. G., Paliouras, G., Karkaletsis, V., & Vouros, G. (2004). Enhancing ontological knowledge through ontology population and enrichment. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3257, pp. 144–156). Springer Verlag. https://doi.org/10.1007/978-3-540-30202-5_10

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