Comparison shopping systems based on semantic web – a case study of purchasing cameras

Ho Kyoung Lee; Young Hoon Yu; Supratip Ghose; Geun Sik Jo

doi:10.1007/978-3-540-24679-4_27

Comparison shopping systems based on semantic web – a case study of purchasing cameras

Ho Kyoung Lee, Young Hoon Yu, Supratip Ghose, Geun Sik Jo

Inha University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

A critical capability required for operating in today’s information overload is the ability to aggregate information from disparate sources into a unified coherent form. To date, almost majority contents of shopping mall are built by technology that is not regarding as integration and extension. We need to make a meta-data and product lists additionally if we want to use comparison-shopping. However, this meta-data does not contain semantics, it can only serve text searching. For this reason, a buyer wastes time costs to get any information in which they are really interested. Moreover, comparison shopping malls are adapted by their own technology; therefore it is also impossible to share their products information. In this paper, we use semantic web technology DAML+OIL. By using this, we make ontology for each shopping mall, and we define concept and structure and we made DAML markup instance data, then extracted semantic factors using DAMLJessKB. We also used these extracted semantic factors as a fact for the JESS inference engine, so that we can make it possible to inference and provide reasoning in web data structures. Our approach allows inference to be carried out when a query is processed and done. Thereby, to validate our approach, we have implemented a working prototype based on and then used the above semantic web inference-system.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Minglu Li, Qianni Deng, Xian-He Sun, Jun Ni
Publisher	Springer Verlag
Pages	139-146
Number of pages	8
ISBN (Print)	3540219889, 9783540219880
DOIs	https://doi.org/10.1007/978-3-540-24679-4_27
State	Published - 2004
Event	2nd International Workshop on Grid and Cooperative Computing, GCC 2003 - Shanhai, China Duration: 7 Dec 2003 → 10 Dec 2003

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3032
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Workshop on Grid and Cooperative Computing, GCC 2003
Country/Territory	China
City	Shanhai
Period	7/12/03 → 10/12/03

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2004.

Access to Document

10.1007/978-3-540-24679-4_27

Cite this

Lee, H. K., Yu, Y. H., Ghose, S., & Jo, G. S. (2004). Comparison shopping systems based on semantic web – a case study of purchasing cameras. In M. Li, Q. Deng, X.-H. Sun, & J. Ni (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 139-146). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3032). Springer Verlag. https://doi.org/10.1007/978-3-540-24679-4_27

Lee, Ho Kyoung ; Yu, Young Hoon ; Ghose, Supratip et al. / Comparison shopping systems based on semantic web – a case study of purchasing cameras. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Minglu Li ; Qianni Deng ; Xian-He Sun ; Jun Ni. Springer Verlag, 2004. pp. 139-146 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Comparison shopping systems based on semantic web – a case study of purchasing cameras",

abstract = "A critical capability required for operating in today{\textquoteright}s information overload is the ability to aggregate information from disparate sources into a unified coherent form. To date, almost majority contents of shopping mall are built by technology that is not regarding as integration and extension. We need to make a meta-data and product lists additionally if we want to use comparison-shopping. However, this meta-data does not contain semantics, it can only serve text searching. For this reason, a buyer wastes time costs to get any information in which they are really interested. Moreover, comparison shopping malls are adapted by their own technology; therefore it is also impossible to share their products information. In this paper, we use semantic web technology DAML+OIL. By using this, we make ontology for each shopping mall, and we define concept and structure and we made DAML markup instance data, then extracted semantic factors using DAMLJessKB. We also used these extracted semantic factors as a fact for the JESS inference engine, so that we can make it possible to inference and provide reasoning in web data structures. Our approach allows inference to be carried out when a query is processed and done. Thereby, to validate our approach, we have implemented a working prototype based on and then used the above semantic web inference-system.",

author = "Lee, {Ho Kyoung} and Yu, {Young Hoon} and Supratip Ghose and Jo, {Geun Sik}",

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Lee, HK, Yu, YH, Ghose, S & Jo, GS 2004, Comparison shopping systems based on semantic web – a case study of purchasing cameras. in M Li, Q Deng, X-H Sun & J Ni (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3032, Springer Verlag, pp. 139-146, 2nd International Workshop on Grid and Cooperative Computing, GCC 2003, Shanhai, China, 7/12/03. https://doi.org/10.1007/978-3-540-24679-4_27

Comparison shopping systems based on semantic web – a case study of purchasing cameras. / Lee, Ho Kyoung; Yu, Young Hoon; Ghose, Supratip et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Minglu Li; Qianni Deng; Xian-He Sun; Jun Ni. Springer Verlag, 2004. p. 139-146 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3032).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yu, Young Hoon

AU - Ghose, Supratip

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AB - A critical capability required for operating in today’s information overload is the ability to aggregate information from disparate sources into a unified coherent form. To date, almost majority contents of shopping mall are built by technology that is not regarding as integration and extension. We need to make a meta-data and product lists additionally if we want to use comparison-shopping. However, this meta-data does not contain semantics, it can only serve text searching. For this reason, a buyer wastes time costs to get any information in which they are really interested. Moreover, comparison shopping malls are adapted by their own technology; therefore it is also impossible to share their products information. In this paper, we use semantic web technology DAML+OIL. By using this, we make ontology for each shopping mall, and we define concept and structure and we made DAML markup instance data, then extracted semantic factors using DAMLJessKB. We also used these extracted semantic factors as a fact for the JESS inference engine, so that we can make it possible to inference and provide reasoning in web data structures. Our approach allows inference to be carried out when a query is processed and done. Thereby, to validate our approach, we have implemented a working prototype based on and then used the above semantic web inference-system.

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Lee HK, Yu YH, Ghose S, Jo GS. Comparison shopping systems based on semantic web – a case study of purchasing cameras. In Li M, Deng Q, Sun XH, Ni J, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 139-146. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24679-4_27

Comparison shopping systems based on semantic web – a case study of purchasing cameras

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