Change summarization in web collections

Adam Jatowt, Khoo Khyou Bun, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

World Wide Web is not only enormous but also dynamic information space. Every day large quantity of new information is published on web pages. Many times people want to know what are the major changes in their area of interest over a given time period. This paper addresses the problem of summarizing changes in web collections devoted to a common topic. We have created a system called ChangeSummarizer, which periodically monitors a web collection in search for new changes and generates their summary. Since many web pages can be quite static over long time or just unrelated to the query we employ the method to evaluate, which pages are dynamic and which provide valuable content. Basing on this evaluation ChangeSummarizer creates web page ranking list and updates it regularly in order to improve subsequent summaries. Additionally, the system searches for new, valuable web pages, which can be included into the collection to enhance its quality.

Original languageEnglish
Title of host publicationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
EditorsB. Orchard, C. Yang, M. Ali
Pages653-662
Number of pages10
Volume3029
Publication statusPublished - 2004
Externally publishedYes
Event17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004 - Ottowa, Ont., Canada
Duration: 2004 May 172004 May 20

Other

Other17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004
CountryCanada
CityOttowa, Ont.
Period04/5/1704/5/20

ASJC Scopus subject areas

  • Hardware and Architecture

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  • Cite this

    Jatowt, A., Bun, K. K., & Ishizuka, M. (2004). Change summarization in web collections. In B. Orchard, C. Yang, & M. Ali (Eds.), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3029, pp. 653-662)