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Semantic web reasoners and languages

dc.contributor.authorMishra R.B.; Kumar S.
dc.date.accessioned2025-05-24T09:55:06Z
dc.description.abstractSemantic 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 Protégeacute;, 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. © Springer Science+Business Media B.V. 2010.
dc.identifier.doihttps://doi.org/10.1007/s10462-010-9197-3
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/19457
dc.relation.ispartofseriesArtificial Intelligence Review
dc.titleSemantic web reasoners and languages

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