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).
| Original language | English |
|---|---|
| Pages (from-to) | 177-185 |
| Number of pages | 9 |
| Journal | CEUR Workshop Proceedings |
| Volume | 551 |
| Publication status | Published - 25 Oct 2009 |
| Event | 4th International Workshop on Ontology Matching, OM-2009 - Collocated with the 8th International Semantic Web Conference, ISWC-2009 - Chantilly, VA, United States Duration: 25 Oct 2009 → 25 Oct 2009 |
Bibliographical note
The IPAS project is co-funded by the Technology Strategy Board’s Collaborative Research and Development programme (www.innovateuk.org) and Rolls-Royce(project No. TP/2/IC/6/I/10292).