期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：3
页码：522-524
出版社：International Journal of Soft Computing & Engineering
摘要：The Semantic Web and Web Mining are two fast-developing research areas, which have many points in contact. Web mining applies data mining techniques on Web content, usage, and structure. Methods of Web content mining can, on the one hand, be used to create semantic annotations from Web page content; on the other hand, content mining can profit from content that is already structured in XML, RDF, or ontological format. Methods of Web usage mining can profit from semantically enriched descriptions of the Web pages visited; this will provide for the identification of more meaningful patterns within site visits, and better site improvements, recommendations, and personalization options based on these patterns. Usage patterns can in turn serve to improve the semantic annotations of pages. The third form of Web Mining, Web structure mining, utilizes the hyperlink structure. Crawlers that take into account structure as well as semantic content can significantly improve search engine results. The rapid development of the field means that Semantic Web Mining now plays a wide range of different roles. Semantic web mining is the combination of the semantic web and web mining. This paper presents an overview of semantic web mining.
