Zhong / Liu / Yao Web Intelligence

Erscheinungsjahr 2013
ISBN: 978-3-662-05320-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 440 Seiten, eBook

This book is the first coherently written multi-author monograph on Web Intelli gence (WI). It offers a thorough introduction and a systematic overview of the new field. It reflects the current state of the research and development in various areas of WI, as well as theoretical and application aspects of WI and Web-based intelligent information systems and services. It highlights several promising WI topics, which will impact on the development of the ultimate Wisdom Web. The book contains one introductory paper and 19 survey/research papers. The papers are structured into six parts: Web agents, Web mining and farming, Web information retrieval, Web knowledge management, the infrastructure for Web in telligent systems, and social network intelligence. We conceived and coined the notion Web Intelligence in late 1999. Back then although there was a variety of Web- or Internet-related conferences, journals, and books, none was devoted to the intelligence aspects of Web information systems and services. It was felt that there was a need for a conference, a journal, and/or books for researchers, scientists, and industry practitioners who wanted to publish and exchange ideas on Web Intelligence. At the 24th Annual International Computer Software and Applications Confer ence (IEEE COMPSAC) in 2000, we first introduced Web Intelligence. In 2001, the first Web Intelligence conference (WI 2001, http://kis.maebashi-it.ac.jp/wiOll) was successfully held in Maebashi, Japan.

Zielgruppe

Research

Autoren/Hrsg.

Zhong, Ning

Liu, Jiming

Yao, Yiyu

Inhaltsverzeichnis

1. Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence.- I. Web Agents.- 2. Agent-Based Characterization of Web Regularities.- 3. Agent-Based Composite Services in DAML-S: the Behavior-Oriented Design of an Intelligent Semantic Web.- 4. Designing Scenarios for Social Agents.- 5. Using Agent Technology to Improve the Quality of Web-Based Education.- II. Web Mining and Farming.- 6. Discovering Business Intelligence Information by Comparing Company Web Sites.- 7. Discovery of Indirect Associations from Web Usage Data.- 8. Knowledge-Based Wrapper Induction for Intelligent Web Information Extraction.- 9. Web Log Mining.- III. Web Information Retrieval.- 10. Personalized and Focused Web Spiders.- 11. Exploiting the Web as Parallel Corpora for Cross-Language Information Retrieval.- IV. Web Knowledge Management.- 12. Knowledge Representation, Sharing, and Retrieval on the Web.- 13. On-To-Knowledge: Semantic Web-Enabled Knowledge Management.- 14. Ontology Learning Part One — on Discovering Taxonomic Relations from the Web.- V. Infrastructure for Web Intelligent Systems.- 15. Algorithmic Aspects of Web Intelligent Systems.- 16. Web Document Prefetching on the Internet.- VI. Social Network Intelligence.- 17. Social Networks: From the Web to Knowledge Management.- 18. A Ranking Algorithm Based on Graph Topology to Generate Reputation or Relevance.- 19. Communityware That Facilitates Knowledge Interactions.- 20. Social Intelligence Design for Web Intelligence.- Author Index.