J. C. Dos Reis, D. Dinh, C. Pruski, M. Da Silveira, C. Reynaud-Delaître, ACM Internaltional Conference on Information and Knowledge Management (CIKM 2013), October 27th - November 1st, San Francisco Airport Marriott Waterfront, Burlingame, CA, USA.

Abstract:
The highly dynamic nature of domain ontologies has a direct impact on semantic mappings established between concepts from different ontologies. Mappings must therefore be maintained according to ongoing ontology changes. Since many software applications exploit mappings for managing information and knowledge, it is important to have appropriate adaptation operations to apply on existing mappings in order to keep their validity over time. In this article, we propose a set of mapping adatation actions and present how they are used to maintain mappings up-to-date based on ontology change operations of different nature. We conduct an experimental evaluation using real-world life sciences ontologies and mappings. We measure empirically the evolution of mappings based on the proposed approach to mapping adaptation. The experimental results confirm that mappings must be individually adapted according to the different types of ontology change.



Keyword
  ° Artificial Intelligence
  ° Information integration
  ° Knowledge engineering

Group
  ° Artificial Intelligence and Inference Systems
  ° Large-scale Heterogeneous DAta and Knowledge

Contact
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