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

被引：6

作者：

Yu, Lean ^{[1
,2
]}

Huang, Wei ^{[3
]}

Wang, Shouyang ^{[1
,4
]}

Lai, Kin Keung ^{[2
,4
]}

机构：

[1] Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100080, Peoples R China

[2] City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China

[3] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China

[4] Hunan Univ, Coll Business Adm, Changsha 410082, Hunan, Peoples R China

来源：

INFORMATION FUSION | 2008年 / 9卷 / 04期

基金：

中国国家自然科学基金;

关键词：

web warehouse; web mining; extraction-fusion-mapping-loading process; wrapper service; mediation service; mapping service; semi-structured data;

D O I：

10.1016/j.inffus.2006.10.007

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2006 Elsevier B.V. All rights reserved.

引用

页码：501 / 511

页数：11

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