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：2014
卷号：2
期号：10
出版社：S&S Publications
摘要：The internet has occupies the largest place in online shopping and online transaction systems. At presentthe online shopping has became more popular by the service advertisements with various industries. The miningservice information are effectively carried out through the mining service advertisements. During this process thereexist three major issues such as heterogeneity, Ubiquity and Ambiguity. The proposed work of this paper is using SelfAdaptive Semantic Focused Crawler –SASF crawler, this technique presents the efficient discovering of information,Formatting and indexing mining service information discovery. Here incorporating the technique of semantic focusedcrawling and ontology based learning to maintain the performance of the crawler. The idea of this paper is based on thedesign of an unsupervised framework for vocabulary-based ontology learning, and also a hybrid algorithm is used formatching semantically relevant concepts and metadata.
关键词：semantic focused crawler; ontology learning; service advertisement; service information discovery
