Ontology Merging using Answer Set Programming and Linguistic Knowledge

With the increasing number of ontologies available on the web, the problem of merging ontologies from different sources to interoperate applications becomes important. This paper presents a novel approach for merging of light-weight ontologies based on answer set programming (ASP) and linguistic background knowledge. ASP provides a declarative execution environment for intuitive merging rules. WordNet provides broad linguistic knowledge that is used to identify corresponding concepts. We present a semi-automatic merging algorithm, where users can choose appropriate results from a set of suggestions.

• Type: Conference
• Year: 2007
• Where: SEMWEB
• Authors: Jürgen Bock, Rodney W. Topor, Raphael Volz
• Keywords: Intuitive Merging Rules, Ontologies, Semi-automatic Merging Algorithm, SEMWEB 2007