A new focused crawler using an improved tabu search algorithm incorporating ontology and host information
Jingfa LIU, Zhen WANG, Guo ZHONG, Zhihe YANG
A new focused crawler using an improved tabu search algorithm incorporating ontology and host information
To solve the problems of incomplete topic description and repetitive crawling of visited hyperlinks in traditional focused crawling methods, in this paper, we propose a novel focused crawler using an improved tabu search algorithm with domain ontology and host information (FCITS_OH), where a domain ontology is constructed by formal concept analysis to describe topics at the semantic and knowledge levels. To avoid crawling visited hyperlinks and expand the search range, we present an improved tabu search (ITS) algorithm and the strategy of host information memory. In addition, a comprehensive priority evaluation method based on Web text and link structure is designed to improve the assessment of topic relevance for unvisited hyperlinks. Experimental results on both tourism and rainstorm disaster domains show that the proposed focused crawlers overmatch the traditional focused crawlers for different performance metrics.
Focused crawler / Tabu search algorithm / Ontology / Host information / Priority evaluation
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