Development of a meta product search engine with web services

Wooju Kim, Daewoo Choi, Jongmyong Kim, Bonggyun Jin

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

1 Citation (Scopus)


The research goal of this paper is to develop an advanced product search agent framework where personalized agents can meet consumer's information needs more effectively and accurately based on the Web Services, Semantic Web technologies and AI techniques. These days, one of the major bottlenecks in E-commerce is that it is not easy for consumers to find the relevant information about the products they want. Such a situation is caused mainly by inaccurate representation of consumer's search intent, and absence of appropriate product information filtering and retrieval mechanism. To resolve these problems, we developed an ontology-based personalized product search query representation methodology, an information extracting methodology specialized for semantic web-based product information, and a multi-attribute-based product scoring methodology. Furthermore, we implemented the proposed methodologies as a prototype system and validated its performance by connecting our system to the well-known and

Original languageEnglish
Title of host publicationInformation Retrieval Technology - Second Asia Information Retrieval Symposium, AIRS 2005, Proceedings
PublisherSpringer Verlag
Number of pages6
ISBN (Print)3540291865, 9783540291862
Publication statusPublished - 2005
Event2nd Asia Information Retrieval Symposium, AIRS 2005 - Jeju Island, Korea, Republic of
Duration: 2005 Oct 132005 Oct 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3689 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd Asia Information Retrieval Symposium, AIRS 2005
Country/TerritoryKorea, Republic of
CityJeju Island

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Development of a meta product search engine with web services'. Together they form a unique fingerprint.

Cite this