作者: P. Nandhakumar , M. Hemalatha , Kashyap Dhruve
DOI: 10.5120/8771-2697
关键词: Semantic grid 、 Semantic Web 、 Computer science 、 Web intelligence 、 Linked data 、 Semantic Web Rule Language 、 Ontology 、 Semantic computing 、 Search analytics 、 Search engine 、 Ranking 、 Web modeling 、 Ontology (information science) 、 Information retrieval 、 Web Ontology Language 、 OWL-S 、 Data Web 、 World Wide Web 、 RDF 、 Search engine indexing 、 Semantic Web Stack 、 Semantic analytics 、 Social Semantic Web 、 Semantic search 、 Web search query 、 Service-oriented architecture 、 Web service 、 Web standards 、 Description logic 、 Concept search
摘要: The data available on the World Wide Web is assumed to be humongous and infinite. Search Engines have emerged integral tools of information retrieval from web. current search engines process queries produce results based location occurrence web pages providing unsatisfactory [8]. 3.0 semantic incorporated in machine readable form better results. This paper introduces a framework named Semantic Framework using Services (SSFSWS) built service oriented architecture (SOA) targeted enhancing responses. consists providers offering services. services are composed depth first algorithm. offered rely RDF its corresponding Ontologies provide An OWL2 language namely SROIQ-DL considered build ontologies represent complex description logic that exists data. also effective caching strategies adopted improve response times. introduced provides ranking schemes ontology relevance scores responses observed. A prototype implementation SSFSWS discussed benefits over existing engine clearly this paper.