A Novel Approach for Intelligent Information Retrieval in Semantic Web Using Ontology
T. F. Michael Raj, K. S. Ravichandran
Abstract
T. F. Michael Raj, K. S. Ravichandran
Abstract
2 Abstract: In most of the existing information retrieval systems are follows the keyword searching methods which are inefficient in various aspects. We have proposed a novel approach that provides intelligent information retrieval in a semantic web based ontology. Using the concept of ontology the relevant information is indexed and is processed in such a way to provide the advantage of abundant semantics and the standard concepts. In a traditional information retrieval system based on keyword but our approach is the domain specific ontology improves it to the knowledge based and lies on semantic matching. We have integrated the concepts of semantic based information retrieval, knowledge of domain ontology, distributed query processing and load distribution.
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2 Abstract: In most of the existing information retrieval systems are follows the keyword searching methods which are inefficient in various aspects. We have proposed a novel approach that provides intelligent information retrieval in a semantic web based ontology. Using the concept of ontology the relevant information is indexed and is processed in such a way to provide the advantage of abundant semantics and the standard concepts. In a traditional information retrieval system based on keyword but our approach is the domain specific ontology improves it to the knowledge based and lies on semantic matching. We have integrated the concepts of semantic based information retrieval, knowledge of domain ontology, distributed query processing and load distribution.
Key concepts: Computer science, Information retrieval, Ontology, Ontology-based data integration, Upper ontology, Ontology Inference Layer, OWL-S, Concept search