An intelligent shopping agent for optimal purchasing decision on the Semantic Web

Hak Jin Kim, Wooju Kim, Jungmyong Kim

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

1 Citation (Scopus)

Abstract

Shopping in the Internet does not proceed smoothly as customers xpect currently. In particular customers have many obstacles in finding an optimal combination of products and shopping malls to minimize the total purchasing cost. To solve such problems, this paper proposes a new framework of an intelligent shopping agent based on the Semantic Web and the Integer Programming technologies. Starting from the search of products, it will show how to build an intelligent agent by using concepts of the Semantic Web and how to connect information to formulating and solving an optimization problem to achieve a customer's goal.

Original languageEnglish
Title of host publicationComputer and Information Sciences - ISCIS 2006
Subtitle of host publication21th International Symposium, Proceedings
PublisherSpringer Verlag
Pages192-201
Number of pages10
ISBN (Print)3540472428, 9783540472421
DOIs
Publication statusPublished - 2006
EventISCIS 2006: 21th International Symposium on Computer and Information Sciences - Istanbul, Turkey
Duration: 2006 Nov 12006 Nov 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4263 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherISCIS 2006: 21th International Symposium on Computer and Information Sciences
Country/TerritoryTurkey
CityIstanbul
Period06/11/106/11/3

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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