PSO: A language for Web information extraction and Web page clipping

Tetsuya Suzuki, Takehiro Tokuda

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Web information extraction and Web page clipping are important technique in adaptive hypermedia which adapt or compose contents from real Web pages. A technical problem for them is robustness of specification of parts of Web pages against update of Web pages. In this paper we present a language called PSO for Web information extraction and Web page clipping. Thanks to operations called path set operations which the language provides for the problem, we can specify parts of Web pages with small differences in expected formats by structural similarity between Web pages. We also show application of the language to real Web pages.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsPaul de Bra, Wolfgang Nejdl
PublisherSpringer Verlag
Pages332-335
Number of pages4
ISBN (Print)3540228950, 9783540277804
DOIs
Publication statusPublished - 2004 Jan 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3137
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Suzuki, T., & Tokuda, T. (2004). PSO: A language for Web information extraction and Web page clipping. In P. de Bra, & W. Nejdl (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 332-335). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3137). Springer Verlag. https://doi.org/10.1007/978-3-540-27780-4_45