异构数据模型的集成:电子商务的混搭

F. Mata, A. Pimentel, S. Zepeda
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引用次数: 3

摘要

目前,电子商务网站之间的互操作性要求对信息进行语法和语义处理。例如,根据不同的标准,包括数字和非数字属性(如产品名称、价格、产品评价、客户意见等),在两个不同的网站上找到最好的产品。我们展示了eBay和Amazon网站之间的混搭,以便根据这些标准搜索产品。集成由本体驱动,采用语法-语义过程。根据标准(价格、用户评价、交货时间和地理位置),结果是两个网站中最好的产品。此外,还显示了一个地图,显示了产品信息,不仅是与产品相关的数据,还显示了其他可能购买产品的地理位置和其他客户的意见。测试表明,在产品搜索中包含语义过程比只使用句法过程提供更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of Heterogeneous Data Models: A Mashup for Electronic Commerce
Nowadays, the interoperability between e-commerce sites requires that information must be processed syntactically and semantically. For example, find the best product in two different sites according to different criteria, including numerical and non-numerical attributes (e.g. product name, price, product evaluation, customer opinion, etc.). We present a mashup between the sites eBay and Amazon to search for products according to these criteria. The integration is driven by ontology with a syntactic-semantic process. The result is the best product of the two sites according to criteria (price, user rating, delivery times and geographical location). Additionally, a map is displayed, showing the product information, not only the data related to the product, but also other geographical locations where is possible to buy products and opinions from other clients. Tests showed that including semantic processes in the product search gives better results than when using only syntactic processes.
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