ijimsrInternational Journal of Innovation in Multidisciplinary Scientific ResearchCoVolume -2 | Issue - 2 | 2024MultidisciplinaryEnglishJUNE-AUGNNY20240831Engineering and TechnologyArtificial Intelligence Techniques in Semantic Web ServicesEnglishY4249Dr. Vijaya ChandraJadalaEnglishNDr. Vijay KumarBurugariEnglishYhttps://doi.org/10.61239/IJIMSR.2024.2220It relates to the conventional machine interaction services, is the server end of a Client-Server system relates to the data on web that is understandable by the machines, its primary objective is to permit the humans and machines together. The World Wide Web is progressing quickly in the direction of the concept of semantic language for database. The ontology tool Protandeacute;gandeacute; consists of the SPARQL Query Tab to execute the queries, whereas the alternative is the Apache Jena Fuseki. The semantic web framework is comprised of different Application interfaces that interacting collectively to execute RDF data. The Fuseki supports the SPARQL queries over Hyper Text Transfer Protocol. Apache Jena Fuseki is based framework for developing Artificial Intelligence Techniques in Semantic Web Services. The proposed methodology can handle queries of various convolutions and complexities. Semantic web services on the server end provide structured and standardized information about the services they offer, typically using technologies related to ontology ensure that the data is both readable and process by machines based on ontology. The Experimental Analysis is given along with the results based on different ontology based technologies. In the disciplines of design, Thinking and implementation, along with representation ontologies are used for semantic web services.EnglishSemantic Web, Resource Description Framework, Ontology Tools, Artificial Intelligence, Web Ontology Language, Ontologyhttps://ijimsr.org/admin/abstract?id=37References1619