Semantic web reasoners and languages

RB Mishra, S Kumar - Artificial Intelligence Review, 2011 - Springer
RB Mishra, S Kumar
Artificial Intelligence Review, 2011Springer
Semantic web reasoners and languages enable the semantic web to function. Some of the
latest reasoning models developed in the last few years are: DLP, FaCT, RACER, Pellet,
MSPASS, CEL, Cerebra Engine, QuOnto, KAON2, HermiT and others. Some software tools
such as Protégé, Jena and others also have been developed, which provide inferencing as
well as ontology development and management environments. These reasoners usually
differ in their inference procedures, supporting logic, completeness of reasoning …
Abstract
Semantic web reasoners and languages enable the semantic web to function. Some of the latest reasoning models developed in the last few years are: DLP, FaCT, RACER, Pellet, MSPASS, CEL, Cerebra Engine, QuOnto, KAON2, HermiT and others. Some software tools such as Protégé, Jena and others also have been developed, which provide inferencing as well as ontology development and management environments. These reasoners usually differ in their inference procedures, supporting logic, completeness of reasoning, expressiveness and implementation languages. Various semantic web languages with increasing expressive power continue to be developed for describing web services. We survey the some of the more recent languages like OWL-S (Ontology Web Language-Schema), WSML (Web Service Modeling Language), SWRL (Semantic Web Rule Language) and others that have been tested in early use. We also survey semantic web reasoners and their relationship to these languages.
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