A State-of-the-Art Survey on Semantic Web Mining

• 作者: Mohamad Saraee Qudamah K. Quboa
• 来源期刊: 智能信息管理(英文)
• 学科: 工学
• 关键词: WEB MINING SEMANTIC WEB DATA MINING SEMANTIC WEB MINING
• 年，卷（期）: 2013,（1）
• 页码范围: 10-17
• 页数: 8页
• 分类号: TP39

摘要

The integration of the two fast-developing scientific research areas Semantic Web and Web Mining is known as Semantic Web Mining. The huge increase in the amount of Semantic Web data became a perfect target for many researchers to apply Data Mining techniques on it. This paper gives a detailed state-of-the-art survey of on-going research in this new area. It shows the positive effects of Semantic Web Mining, the obstacles faced by researchers and propose number of approaches to deal with the very complex and heterogeneous information and knowledge which are produced by the technologies of Semantic Web.