Abstract
Resolution-based calculi are among the most widely used calculi for theorem proving in first-order logic. Numerous refinements of resolution are nowadays available, such as e.g. basic superposition, a calculus highly optimized for theorem proving with equality. However, even such an advanced calculus does not restrict inferences enough to obtain decision procedures for complex logics, such as SHIQ. In this paper, we present a new decomposition inference rule, which can be combined with any resolution-based calculus compatible with the standard notion of redundancy. We combine decomposition with basic superposition to obtain three new decision procedures: (i) for the description logic SHIQ, (ii) for the description logic ACCHIQb, and (iii) for answering conjunctive queries over SHIQ knowledge bases. The first two procedures are worst-case optimal and, based on the vast experience in building efficient theorem provers, we expect them to be suitable for practical usage. © Springer-Verlag Berlin Heidelberg 2005.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. |
Publisher | Springer Nature |
Pages | 21-35 |
Number of pages | 14 |
Volume | 3452 |
ISBN (Print) | 3540252363, 9783540252368 |
Publication status | Published - 2005 |
Event | 11th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2004 - Montevideo Duration: 1 Jul 2005 → … http://springerlink.metapress.com/link.asp?id=x37ru0vjaqmf651e |
Publication series
Name | Lecture Notes in Artificial Intelligence |
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Conference
Conference | 11th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR 2004 |
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City | Montevideo |
Period | 1/07/05 → … |
Internet address |