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：2017
卷号：6
期号：3
页码：4164
DOI：10.15680/IJIRSET.2017.0603051
出版社：S&S Publications
摘要：As information retrieval using web grows at a very fast pace, there has been great interest in techniquesthat help efficiently locate deep-web interfaces. An exploratory search may be driven by a user’s curiosity or desire forspecific information. When users investigate unaware fields, they may want to learn more about a particular subjectarea to gain their knowledge rather than solve a specific problem. A matching query style has significant limitations.Search results are satisfactory only when users give the right search query. “Smart Crawler” ranks websites to prioritizehighly relevant ones for a given topic. To achieve more accurate results for an exploratory search, we find thesynonym, hyponym and hypernym of the root word after pre-processing the given query by user. We have added afeature “Bookmark” to save the websites both locally and globally so that it’s browser independent.
关键词：Successor stemming algorithm; Customized stopping ; Vector space model ;Clustering;algorithm; Ontology clustering; Term Frequency and Inverse Document Frequency
