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：2015
卷号：4
期号：7
页码：5993
DOI：10.15680/IJIRSET.2015.0407109
出版社：S&S Publications
摘要：Keyword Search is the Information Retrieval Methodology. In which users are not aware of a querylanguage as well as the structure of data. In this paper we focus on the keyword query routing as well as ranking andbased on the user preference the top-k results will be retrieved from the database and returned to the user. Informationretrieval (IR) is the process of finding relevant to information from a great set of document. This system will provide aneffective query processing. The score is depend on ranking function. And it can be calculated by different methods.These scores are the basic for the ranking of the documents. Keyword query search is a technique for searching relevantdata sources. It also focuses on how effectively processes the keyword queries. Here we propose to routing keywordsonly as it reduces the processing keyword search queries over all linked sources. We propose a method for computingtop-k routing result using Graph keyword search method. We also propose Graph Keyword Search method. Itrepresents each database by a keyword relationship graph. We are focusing on a keyword-element relationshipsummary that compactly represents relationships between keywords and the data elements representing them. In thispaper, we solve the two problems to improve the efficiency and effectiveness of aggregate keyword by using generalranking scheme and ranking algorithm.
关键词：Text WebDataGraph; RDF; Data Graph; Graph Structured Data; Keyword Element Relationship Graph;Keyword Relation. SIL; DEINIX
