期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：7
页码：3187
出版社：S&S Publications
摘要：The Semantic Web is a latest technique for organizing information and it characterize a huge interest area forthe worldwide research group of people, however it is still far from a significant implementation. In this research wehave proposed a scheme for information retrieval stand on ontologies, dynamic semantic network, and lexical chains,significant an approach for achieve and indexing consequences by means of a narrative metric to compute semanticrelatedness between words. Our technique has numerous novelties, in meticulous concerning the utilize of a collectiveknowledge base from which we mine precise domain ontologies; furthermore, the anticipated semantic relatednessmetric achieve optimally evaluate with further metrics in the using a general test set. In meticulous we are taking intoconsideration the opportunity of introduce several form of normalization for the semantic constituent with respect to thelength of lexical chains and the size of the documents, applying our research news paper domain and we are improvingthe analysis accuracy of our system compared with other metrics.
关键词：Knowledge Base; Semantic Web; Information Retrieval (IR); Ontology.
