V. Nebot and R. Berlanga, “Mining Association Rules from Semantic Web Data,” Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Córdoba, 1-4 June 2010, pp. 504-513.

has been cited by the following article:

• TITLE: A State-of-the-Art Survey on Semantic Web Mining

  AUTHORS: Qudamah K. Quboa, Mohamad Saraee

  KEYWORDS: Web Mining; Semantic Web; Data Mining; Semantic Web Mining

  JOURNAL NAME: Intelligent Information Management, Vol.5 No.1, January 23, 2013

  ABSTRACT: 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.