Extracting business rules from web product descriptions

Mizuho Iwaihara, Takayuki Shiga, Masayuki Kozawa

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

Products sold in e-commerce sites are usually attached with conditions, policies and provisions, which are sometimes important criteria for buyers to compare products. Although logical languages dealing with business rules have been proposed, most of business rules on the Web are still given in natural language texts only. In this paper, we discuss technologies for locating those rules in product descriptions, categorizing them, and translating them into a formal constraint language. We take airline tickets as an example, and discuss what processes in this translation can be automated. By translating into the constraint language, we can search, compare and verify complex conditions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsXiaofang Zhou, Maria E. Orlowska, Stanley Su, Mike P. Papazoglou, Keith G. Jeffery
PublisherSpringer Verlag
Pages135-146
Number of pages12
ISBN (Electronic)3540238948, 9783540238942
DOIs
Publication statusPublished - 2004 Jan 1
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3306
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Iwaihara, M., Shiga, T., & Kozawa, M. (2004). Extracting business rules from web product descriptions. In X. Zhou, M. E. Orlowska, S. Su, M. P. Papazoglou, & K. G. Jeffery (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 135-146). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3306). Springer Verlag. https://doi.org/10.1007/978-3-540-30480-7_15