文章基本信息

标题：RSBR: A PARADIGM FOR PROFICIENT INFORMATION RETRIEVAL USING QSPA AND RELEVANCE SCORE BASED RANKING
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作者：SRIDHARAN. K ; M. CHITRA
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：58
期号：1
出版社：Journal of Theoretical and Applied
摘要：Due to the speedy growth of content volume over the internet, the required content that is relevant to the user�s query is retrieved with difficulty by the common search engines. To overcome this limitation, semantic web search approaches are utilized. Many researches in semantic web depend on data search centered meaning. The general purpose of these researches is to enhance the current data search and retrieval techniques. An effective Relevancy-based Semantic Search Engine (RSSE) prototype that allows the users to determine relevant resources and services by semantics is proposed. The proposed approach uses Query Similarity Prediction Algorithm (QSPA) for efficient information retrieval with minimum processing time. The technique serves multiple remote users. The relevancy based ranking of documents depending on the occurrence of semantic terms is performed in QSPA. The experimental results show that the approach is efficient when analyzed with parameters like precision, recall, F-measure, and the time needed to obtain query results.
关键词：Information Retrieval (IR); Service Level Agreement (SLA); Semantic web; Query Similarity Prediction Algorithm (QSPA); Ranking; Cache server.