KOSIMap: Ontology Alignments Results for OAEI 2009

Abstract. Ontology mapping has been recognised as an important approach to identifying similar information in heterogeneous ontologies. The Knowledge Organisation System Implicit Mapping (KOSIMap) approach relies on DL reasoning (i) to extract background knowledge about every entity, and (ii) to remove inappropriate correspondences from an alignment. The main assumption is that the use of this background knowledge reduces erroneous mappings, thus increasing coverage. In this paper, we provide an overview of KOSIMap, and present the result of our system for its first participation to the Ontology Alignment Evaluation Initiative (OAEI). 1 Presentation of KOSIMap Ontology mapping has been recognised as an important means to identify similar information in different ontologies, thus achieving semantic interoperability on the Web. Given two ontologies O1 and O2, the task of mapping one ontology to another is that of finding an entity in O1 that matches an entity in O2 based on their inte...

• Type: Conference
• Year: 2009
• Where: SEMWEB
• Authors: Quentin Reul, Jeff Z. Pan
• Keywords: Background Knowledge, Internet Technology, Knowledge Organisation System, SEMWEB 2009, System Implicit Mapping