In this paper we present a framework of reasoning with inconsistent ontologies, in which pre-defined selection functions are used to deal with concept relevance. We examine how the notion of "concept relevance" can be used for reasoning with inconsistent ontologies. We have implemented a prototype called PION (Processing Inconsistent ONtologies), which is based on a syntactic relevance-based selection function. In this paper, we also report the experiments with PION.
@InProceedings{IJCAI05,
author = "Zhisheng Huang and Frank van Harmelen and Annette ten Teije",
title = "Reasoning with Inconsistent Ontologies",
booktitle = "Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence ({IJCAI}'05)",
year = "2005",
pages = "454-459",
address = "Edinburgh, Scotland",
month = "August",
keywords = {Approximate Reasoning},
urlPaper = "http://www.cs.vu.nl/~frankh/postscript/IJCAI05.pdf"
}
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