Web warehouse - a new web information fusion tool for web mining

  • Authors:
  • Lean Yu;Wei Huang;Shouyang Wang;Kin Keung Lai

  • Affiliations:
  • Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China and Department of Management Sciences, City University of Hong Kong, Ta ...;School of Management, Huazhong University of Science and Technology, Wuhan 430074, China;Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China and College of Business Administration, Hunan University, Changsha 4100 ...;Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong and College of Business Administration, Hunan University, Changsha 410082, China

  • Venue:
  • Information Fusion
  • Year:
  • 2008

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Abstract

In this study, we introduce a web information fusion tool - web warehouse, which is suitable for web mining and knowledge discovery. To formulate a web warehouse, a four-layer web warehouse architecture for decision support is firstly proposed. According to the layered web warehouse framework architecture, an extraction-fusion-mapping-loading (EFML) process model for web warehouse construction is then constructed. In the web warehouse process model, a series of web services including wrapper service, mediation service, ontology service and mapping service are used. Particularly, two kinds of mediators are introduced to fuse the heterogeneous web information. Finally, a simple case study is presented to illustrate the construction process of web warehouse.