name
Kuliev Elmar Valer'evich
Scholastic degree
•
Academic rank
—
Honorary rank
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Organization, job position
• South Federal University
доцент
Research interests
Информационные технологии, Системы автоматизации проектирования, Биоинспирированные алгоритма и методы поиска
Web site url
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0
TOP5 co-authors
Articles count: 1
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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FINDING AND RANKING KNOWLEDGE ON THE SEMANTIC WEB
Description
The basis of Semantic Web technology is the possibility of joint construction of ontology and the formation of the dictionary without centralized control. All the information and the knowledge encoded in the ontology as semantic web-terms and the semantic web-documents. Swoogle helps software agents and knowledge engineers find Semantic Web knowledge encoded in RDF and OWL documents on the Web. Navigating such a Semantic Web on the Web is difficult due to the paucity of explicit hyperlinks beyond the namespaces in URIrefs and the few interdocument links like rdfs:seeAlso and owl:imports. In order to solve this issue, this paper proposes a novel Semantic Web navigation model providing additional navigation paths through Swoogle’s search services such as the Ontology Dictionary. Using this model, we have developed algorithms for ranking of Semantic Web objects at three levels of granularity: documents, terms and RDF graphs. The article focuses on the ranking at the document level, based on a rational search model, which emits the agent's behavior when navigating at the document level, and ranking on level terms, the value of which is determined by the number of their references in all documents
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