期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：10
页码：3805-3811
出版社：Shri Pannalal Research Institute of Technolgy
摘要：World Wide Web has grown to be the leading marketplace in the world and extremely accepted for online service marketing advertisement with various service industries. Service marketing advertisements are effectual carriers of mining service information in service industry. Yet, there existed ubiquitous, ambiguous and heterogeneous of service information when service users searching for mining service information over the web. In order to resolve these issues, in this paper, present a theoretical structure for an Ontology learning Semantic Focused Crawler (OLSF), by the use of automatically discovering the services, also annotating, classifying and indexing mining service information over the web. This structure combines the idea of semantic focused crawler technology is used to solve the issues of heterogeneity, ubiquity and ambiguity of mining service information by means of the Semantic net technologies and ontology learning technology is used to maintain the high performance of crawling in the uncontrolled Web environment.
关键词：Ontology learning; service metadata ; classifier; focused crawler; Service Metadata Generator; ; Information retrieval
