Istituto di Scienza e Tecnologie dell'Informazione     
Meghini C., Tzitzikas Y., Spiratos N. An Abduction-based Method for Index Relaxation in Taxonomy-based Sources. In: MFCS 2003. International Symposium on Mathematical Foundations of (Bratislava, Slovak Republic, August 2003). Proceedings, pp. 592 - 601. B. Rovan and P. VojtÓs (eds.). (Lecture Notes in Computer Science, vol. 2747). Springer-Verlag, 2003.
The extraction of information from a source containing termclassified objects is plagued with uncertainty. In the present paper we deal with this uncertainty in a qualitative way. We view an information source as an agent, operating according to an open world philosophy. The agent knows some facts, but is aware that there could be other facts, compatible with the known ones, that might hold as well, although they are not captured for lack of knowledge. These facts are, indeed, ossibilities. We view possibilities as explanations and resort to abduction in order to define precisely the ossibilities that we want our system to be able to handle. We introduce an operation that extends a taxonomy-based source with possibilities, and then study the property of this operation from a mathematical point of view.
URL: http://www.springerlink.com/app/home/contribution.asp?wasp=2g271hmumpdjn6t7cqwy
Subject Taxonomy based sources
H.1 Information System. Models and Principles

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