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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ig-hoon Lee Suekyung Lee Taehee Lee Sang-goo Lee Dongkyu Kim Jonghoon Chun Hyunja Lee Junho Shim |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Seoul Nat. Univ., South Korea (Ig-hoon Lee; Suekyung Lee; Taehee Lee; Sang-goo Lee) |
| Abstract | A base of clearly defined product information is a key foundation for an e-commerce system. The manipulation and exchange of semantically enriched and precise product information can enhance the quality of an e-commerce system and offer a high level of interoperability with other systems. Product information consists of product attributes and the relationships between products. Product categorization (or classification) is one type of such relationships. Ontology can play an important role in the formalization of product information. Although the idea of utilizing ontology for e-catalogs has been raised before, we are yet to find an operational implementation of applying ontology in the domain. In this paper, we report on our recent effort to build an operational product ontology system for the government procurement service. The system is designed to serve as a product ontology knowledge base; not only for the design and construction of product databases but also for search and discovery of products. We introduce some of the issues that we have experienced in the project, so that our work may serve as a reference model for similar projects in the future. |
| Starting Page | 16 |
| Ending Page | 25 |
| File Size | 734679 |
| Page Count | 10 |
| File Format | |
| ISBN | 076952401X |
| DOI | 10.1109/DEEC.2005.17 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-04-09 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Procurement Computer science Databases Markup languages Government Humans Ontologies Resource description framework Electronic commerce Information analysis |
| Content Type | Text |
| Resource Type | Article |
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