Title :
RESP: A Computer Aided OWL REasoner Selection Process
Author :
Tai, Wei ; Keeney, John ; O´Sullivan, Declan
Author_Institution :
Knowledge & Data Eng. Group, Trinity Coll. Dublin, Dublin, Ireland
Abstract :
Existing approaches for selecting the most appropriate reasoner for different semantic applications mainly relies on discussions between application developers and reasoner experts. However this approach will become inadequate with the increasing adoption of Semantic Web technologies in applications from different domains and the rapid development of OWL reasoning technologies. This work proposes RESP, a computer aided reasoner selection process designed to perform reasoner selection for different applications and so reduce the effort and communication overhead required to select the most appropriate reasoner. Preliminary evaluation results show that RESP successfully helps application developers to select the most appropriate reasoner, or at least narrow down the number of candidate reasoners to consider. Contributions of this work are two folds: (1) the design of a (relatively simple but useful) computer aided OWL reasoner selection process, and (2) the identification and discussion of a set of example application characteristics that can affect the OWL reasoner selection.
Keywords :
knowledge representation languages; semantic Web; RESP; Web ontology language; computer aided OWL reasoner selection process; reasoner expert; semantic Web technology; semantic application; Algorithm design and analysis; Bioinformatics; Cognition; Concrete; OWL; Ontologies; Semantics; Application Characteristics; Reasoner Characteristics; Reasoner Selection; Semantic Application Development;
Conference_Titel :
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location :
Palo Alto, CA
Print_ISBN :
978-1-4577-1648-5
Electronic_ISBN :
978-0-7695-4492-2
DOI :
10.1109/ICSC.2011.17