文章基本信息

标题：AN ARCHITECTURAL DESIGN OF A NOVEL SECURED SEMANTIC META SEARCH SYSTEM (SSMSS) FOR REAL TIME MULTI-DOMAIN WEB DATA AND PERFORMANCE EVALUATION OF SSMSS AGAINST BASELINE SYSTEMS
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作者：SUDEEPTHI GOVATHOTI ; K.VENKATA RAO
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：2019
卷号：97
期号：4
页码：1289-1303
出版社：Journal of Theoretical and Applied
摘要：In recent years, the World Wide Web allows people to share and reuse high volumes of information. Information retrieval (IR) is defined as a process to search for information from a larger set of structured documents. Search engines are the most popular Web IR tool used. Web information retrieval performs search globally from the largest collection of documents that are linked via a network and provide search services on the internet through web search engines namely: Google, Yahoo, and Bing. In this context, a critical study has been conducted on Meta Search engine, semantic web capabilities and cryptography to identify effective techniques for information retrieval. A novel Secured Semantic Meta Search System (SSMSS) is developed with the ideology of applying data security and semantic web capabilities to Meta search engine for processing real-time multi-domain web data in textual form. A critical study of some of the popular baseline search system is discussed. This paper aims at evaluating the performance of secured semantic Meta search system against four baseline search systems namely: Swoogle, Metacrawler, Dogpile and SenseBot. The relative performance results are analyzed and presented for proposed (SSMSS) search system against four baseline systems by considering the performance metrics namely: relevancy and irrelevancy score.
关键词：Meta search engine; Pruning; Cryptography; Semantic search; Page rank; Information retrieval