Abstract
Traditionally, theorem provers have been used to prove theorems with relatively small axiomatisations. The recent development of large ontologies poses a non-trivial challenge of reasoning with axiomatisations consisting of hundreds of thousands axioms. In the near future much larger ontologies will be available. These ontologies will be created by large groups of people and by computer programs and will contain knowledge of varying quality. In the talk we describe an adaptation of the theorem prover Vampire for reasoning with large ontologies using expressive logics. For our experiments we used SUMO and the terrorism ontology. Based on the analysis of inconsistencies found in these ontologies we analyse the quality of information in them. Our research reveals interesting problems in studying the evolution and the quality of formal knowledge. © Springer-Verlag Berlin Heidelberg 2006.
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 | 19 |
Volume | 4160 |
ISBN (Print) | 354039625X, 9783540396253 |
DOIs | |
Publication status | Published - 2006 |
Event | 10th European Conference on Logics on Artificial Intelligence, JELIA 2006 - Liverpool Duration: 1 Jul 2006 → … http://dblp.uni-trier.de/db/conf/jelia/jelia2006.html#Voronkov06http://dblp.uni-trier.de/rec/bibtex/conf/jelia/Voronkov06.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/jelia/Voronkov06 |
Publication series
Name | Lecture Notes in Computer Science |
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Conference
Conference | 10th European Conference on Logics on Artificial Intelligence, JELIA 2006 |
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City | Liverpool |
Period | 1/07/06 → … |
Internet address |