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Buyer Category-Based Intelligent e-Commerce Meta-Search Engine  

Kim, Kyung-Pil (Department of Information and Industrial Engineering, Yonsei University)
Woo, Sang-Hoon (Department of Information and Industrial Engineering, Yonsei University)
Kim, Chang-Ouk (Department of Information and Industrial Engineering, Yonsei University)
Publication Information
IE interfaces / v.19, no.3, 2006 , pp. 225-235 More about this Journal
Abstract
In this paper, we propose an intelligent e-commerce meta-search engine which integrates distributed e-commerce sites and provides a unified search to the sites. The meta-search engine performs the following functions: (1) the user is able to create a category-based user query, (2) by using the WordNet, the query is semantically refined for increasing search accuracy, and (3) the meta-search engine recommends an e-commerce site which has the closest product information to the user’s search intention by matching the user query with the product catalogs in the e-commerce sites linked to the meta-search engine. An experiment shows that the performance of our model is better than that of general keyword-based search.
Keywords
e-Commerce; Meta-Search Engine; Category based search; Semantic search;
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1 J. Shim, Simon S. Y. Shim(2006), Ontology-based e-Catalog in e-commerce, Electronic commerce research and applications, 5(1), 1
2 Jena 2 A Semantic Web Framework, Available at http://www.hpl.hp.com/semweb/jena.htm
3 Copcmic, Available at http://www.copernic.com
4 M. Eirinaki, M. Vazirgiannis, I. Varlamis(2003), SEWeP: Using Site Semantics and a Taxonomy to Enhance the Web Personalization Process, Proceedings of the 9th ACM SIGKDD international conference on Knowledge discovery and data mining, 99-108
5 S. Castano, A. Ferrara, S. Montanelli(2003), H-MATCH: an Algorithm for Dynamically Matching Ontologies in Peer-based Systems, Semantic Web and Databases, 231-250
6 G. A. Miller(1995), WordNet a Lexical Database for English, Communications of the ACM, 38(11), 39-41
7 M. D. Mulvenna, S. S. Anand, A. G. Buchner(2000), Personalization on the Net using Web Mining, Communications of the ACM, 43(8) 123-125
8 UNSPSC(The Unired Nations Standard Products and Services Code), Available at http://www.unspsc.org
9 A. E. Howe, D. Dreilinger(1997), Savvy Search: A Metasearch Engine that Leatns which Search Engines to Query, AI Magazine, 18(2), 19-25
10 N. Guarino, C. Masolo, G. Vetere(1999) OntoSeek: Content-Based Access to the Web, IEEE Intelligent Systems, 14(3),70-80
11 E-Commerce and Development Report(2003), UNITED NATIONS Conference on Trade and Development, Available at http://r0.unctad.org/ecommerce/ docs/edr03_en/ecdr03.htm
12 DCMI (The Dublin Core Metadata Initiative), Available at http://dublincore.org
13 E. Selberg, O. Etzioni(1997), The MetaCrawler Atchitecture for Resource Aggregation on the Web. IEEE Expert, 12(1) 11-14
14 XTM(XML Topic Maps 1.0), Available at http://www.topicmaps.org/xtm/1.0/, August 2001
15 Deborah L. McGuinness, Frank van Hatmelen(2004), OWL Web Ontology Language Overview, W3C Reccommendation 2004, Available at http:// www.w3.org/TR/owl-ref/
16 B. Chandrasekaran and J. R. Josephson and V. R. Benjamins(1999), What Are Ontologies and Why Do We Need Them, IEEE Intelligent Systems, 14(1),20-265
17 H. Lee, J. Shim(2005), Conceptual and Formal Ontology Model of e-Catalogs, Lecture Notes in Computer Science, 3590, 11-20   DOI
18 M. Uschold, M. Gruninger(1996), Ontologies: Principles, Methods and Applications, Knowledge Engineering Review, 11(2), 93-155   DOI   ScienceOn
19 S. Castano, A. Ferrara, S. Montanelli, D. ZuccheIli(2003), HELIOS: a General Framework for Ontology-based Knowledge Sharing and Evolution in P2P Systems, Database and Expert Systems Applications, 597-6
20 Dogpile, Available at http://www.dogpile.com/
21 M. Eirinaki, C. Lampos, S. Paulakis, M. Vazirgiannis(2004), Web Personalization Integrating Content Semantics and Navigational Patterns, Web Information and Data Management, 72-79
22 S. Lawrence,C. L. Giles(1998), Context and Page Analysis for Improved Web Search, IEEE Internet Computing. 2(4), 38-46   DOI   ScienceOn
23 F. Liu, C. Yu, W. Meng(2002), 'Personalized Web Search by Mapping User Queries to Categories', Conference on Information and knowledge management, 558-565