DocumentCode
680733
Title
A Novel Combination of Reasoners for Ontology Classification
Author
Changlong Wang ; Zhiyong Feng
Author_Institution
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear
2013
fDate
4-6 Nov. 2013
Firstpage
463
Lastpage
468
Abstract
Large scale ontology applications require efficient reasoning services, of which ontology classification is the fundamental reasoning task. The special EL reasoners are efficient, but they can not classify ontologies with axioms outside the OWL 2 EL profile. The general-purpose OWL 2 reasoners for expressive Description Logics are less efficient when classifying the OWL 2 EL ontologies. In this work, we propose a novel technique that combines an OWL 2 reasoner with an EL reasoner for classification of ontologies expressed in DL SROIQ. We develop an efficient task decomposition algorithm for identifying the minimal non-EL module that is assigned to the OWL 2 reasoner, and the bulk of the workload is assigned to the EL reasoner. Furthermore, this paper reports on the implementation of our approach in the ComR system which integrates the two types of reasoners in a black-box manner. The experimental results show that our method leads to a reasonable task assignment and can offer a substantial speed up (over 50%) in ontology classification.
Keywords
ontologies (artificial intelligence); pattern classification; ComR system; OWL 2 EL profile; description logics; large scale ontology applications; ontology classification; reasoning services; Classification algorithms; Cognition; OWL; Ontologies; Optimization; Proteins; Semantics; OWL 2; OWL 2 EL; combination; description logic; ontology classification; reasoner;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on
Conference_Location
Herndon, VA
ISSN
1082-3409
Print_ISBN
978-1-4799-2971-9
Type
conf
DOI
10.1109/ICTAI.2013.75
Filename
6735286
Link To Document