期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：11
页码：16648
DOI：10.15680/IJIRCCE.2017.0511063
出版社：S&S Publications
摘要：Query Faceted search is a technique for searching users to find, analyze, and navigate through searchdata form online web pages. It is widely used in e-commerce and digital libraries. An effective approach for facetsearch is the scope of its implementation. Most existing faceted search and facets generation systems are built on aspecific domain (such as product search) or predefined facet categories. For example, Web search mining for anunsupervised contents by automatic extraction of facets that are relevant for search result for personal web search asuser search interest pattern from text databases. Facet hierarchies are generated for a whole collection, instead of for agiven query. Proposed facets searching system for information discovery and media exploration in online searchresults. It extracts and aggregates the useful semantic information from the specific knowledge database Wikipedia. Inthis paper, proposed system explores to automatically find query related aspect of search for open-domain queries inWeb search engine. Facets of a query are automatically mined from the top web search results of the query without anyadditional domain knowledge required. As query facets are good summaries of a query and are potentially useful forusers to understand the query and help them explore information, they are possible data sources that enable a generalopen-domain faceted exploratory search.
