한국정보시스템학회지:정보시스템연구 (The Journal of Information Systems)

  • 제20권3호
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  • Pages.41-61
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  • 2011
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  • 1229-8476(pISSN)
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  • 2733-8770(eISSN)
한국정보시스템학회 (Korea Association of Information Systems)
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온톨로지 매칭을 이용한 RSS 기반의 비교쇼핑 시스템

Comparison Shopping System Based on RSS with Ontology Matching

  • 투고 : 2011.03.04
  • 심사 : 2011.08.26
  • 발행 : 2011.09.30
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초록

In order to buy products through the Internet, consumers dissipate much time and efforts in collecting and comparing product information from various online shopping malls. Consumers can save their efforts by using price comparison sites, but there are some shortcomings in comparison shopping. Firstly, comparison sites do not show the lowest price of some products that are selling in shopping malls. Secondly, the product information provided by comparison sites is sometimes wrong. Thirdly, there are too many results. In order to overcome the shortcomings, we suggested a comparison shopping system based on RSS by using ontology matching. We used the current RSS standard for syntactic interoperability instead of suggesting new standards. Moreover, we used ontology matching for semantic interoperability to compare product information with different ontologies. The suggested ontology matching consists of three steps. The first step is finding exact sense from WordNet for a given product category, and the second step is searching for matching product category candidates from the products of RSS feeds. The final step is calculating similarities of the candidates with the target product category. From the experiments, we could get better recall rates that are suitable for e-commerce environments and the results show that our system is effective in product comparison.

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참고문헌

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