Abstract
The main aim of this research is to deal with enriching conceptual semantic by expanding local conceptual neighbor. The approach consists of two phases: neighbor enrichment phase and matching phase. The enrichment phase is based on analysis of the extension semantic the ontologies have. The extension we make use of in this work is generated an contextually expanded neighbor of each concept from external knowledge sources such as WordNet, ODP, and Wikimedia. Outputs of the enrichment phase are two sets of contextually expanded neighbors belonging to these two corresponding ontologies, respectively. The matching phase calculates similarities between these contextually expended neighbors, which yields decisions which concepts are to be matched.
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Duong, T.H., Truong, H.B., Nguyen, N.T. (2012). Local Neighbor Enrichment for Ontology Integration. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28487-8_16
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DOI: https://doi.org/10.1007/978-3-642-28487-8_16
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