Zablith, Fouad, Sabou, Reka Marta, d’Aquin, Mathieu, Motta, Enrico. 2008. Using background knowledge for ontology evolution. Proc. of the International Workshop on Ontology Dynamics (IWOD), collocated with ISWC. 2008.
BibTeX
Abstract
One of the current bottlenecks for automating ontology evolution is resolving the right links between newly arising information and the existing knowledge in the ontology. Most of existing approaches mainly rely on the user when it comes to capturing and representing new knowledge. Our ontology evolution framework intends to reduce or even eliminate user input through the use of background knowledge. In this paper, we show how various sources of background knowledge could be exploited for relation discovery. We perform a relation discovery experiment focusing on the use of WordNet and Semantic Web ontologies as sources of background knowledge. We back our experiment with a thorough analysis that highlights various issues on how to improve and validate relation discovery in the future, which will directly improve the task of automatically performing ontology changes during evolution.
Tags
Press 'enter' for creating the tagPublication's profile
Status of publication | Published |
---|---|
Affiliation | External |
Type of publication | Working/discussion paper, preprint |
Language | English |
Title | Using background knowledge for ontology evolution |
Title of whole publication | Proc. of the International Workshop on Ontology Dynamics (IWOD), collocated with ISWC. 2008 |
Year | 2008 |
Associations
- People
- Sabou, Reka Marta (Details)
- External
- d’Aquin, Mathieu (The Open University, United Kingdom)
- Motta, Enrico (The Open University, United Kingdom)
- Zablith, Fouad (The Open University, United Kingdom)
- Organization
- Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 1109 Information and data processing (Details)
- 1122 Artificial intelligence (Details)
- 1127 Information science (Details)
- 1138 Information systems (Details)
- 1140 Software engineering (Details)