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Focused Web Crawling Strategy Based on Concept Context Graph

Focused Web Crawling Strategy Based on Concept Context Graph

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第四届全国信息检索与内容安全学术会议

作者： yajun du~(12) zhanbing dong~1 yuting wang~1 ~1 school of mathematical and computers science,xihua university,chengdu 610039,sichuan,china

With Internet growing exponentially,search engine is encountering some unprecedented *** focused search engine is to selectively seek out Web pages that are relevant to user topics;it can improve precision and refreshing speed for retrieving Web *** so,in order to obtain a high crawling efficiency,it is crucial and popspot research what strategy is utilized to visit Web for the focused search *** this paper,by researching the characteristics of current focused Web crawling strategies,the top-specific crawling on the Web with the measurements of the concept context graph is brought *** main contributions are listed as follows:to study hierarchy semantic relation among concepts of concept lattice,to define core concept and non core concept;to propose a novel notion representing user interest topic model with the＄FCA＄(Formal Concept Analysis);to propose how to compute concept semantic distance and concept semantic similarity for constructing the concept context *** matching unvisited Web pages with concept lattice of the user interest topic,to pick out relevant hyperlink,the ranking of the unvisited Web page is *** the other hand,the focused web crawling system based on FCA is *** experiments illuminates that precision,recall,average harvest rate,and F-Measure of our method outperform context graph,relevancy context graph,and breadth first crawling. We compare and evaluate the impacts of three similarity functions-liner,square,exponential similarity function to our method,and make a conclusion:the faster the similarity function decrease,the finer it not always impacts the crawling performance.

关键词： Search Engine Concept Lattice Association Rule Uncertainty Reasoning Web Page Matching Algorithm

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