Title :
Contrastive Reasoning with Inconsistent Ontologies
Author :
Jun Fang ; Huang, Zhisheng ; Van Harmelen, Frank
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
In this paper we present a framework for answering queries over inconsistent ontologies by using contrastive reasoning, the reasoning of contrasts which are expressed as contrary conjunctions like the word "but" in natural language. We argue that contrastive answers are more informative for reasoning with inconsistent ontologies, as compared with the usual simple boolean answer, i.e., either "yes" or "no". We propose a general framework for contrastive reasoning with inconsistent ontologies. The proposed approach has been implemented in the system CRION (Contrastive Reasoning with Inconsistent Ontologies) as a reasoning plug-in in the LarKC (Large Knowledge Collider) platform. We report several experiments in which we apply the CRION system to some realistic ontologies. This evaluation shows that contrastive reasoning is a useful extension to the existing approaches of reasoning with inconsistent ontologies.
Keywords :
inference mechanisms; ontologies (artificial intelligence); question answering (information retrieval); CRION system; LarKC; boolean answer; contrastive reasoning; inconsistent ontologies; large knowledge collider platform; natural language; plug-in reasoning; queries answering; Cognition; Knowledge based systems; Maintenance engineering; Mesons; Ontologies; Prototypes; Transportation; clarification formula; contrastive answer; contrastive formula; contrastive reasoning; inconsistent ontology;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4577-1373-6
Electronic_ISBN :
978-0-7695-4513-4
DOI :
10.1109/WI-IAT.2011.59