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An Intelligent Query System Based on the Semantic WEB

机译:基于语义WEB的智能查询系统

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Retrieving appropriate records satisfying the customers' queries shapes the interaction between customers and suppliers in a B2C scenario. The paper presents an intelligent query system based on the Semantic Web technology; it tries to answer questions as under certain conditions which flowers are suitable as a present. We refined domain knowledge and constructed a knowledge base by the Web Ontology Language (OWL). Exploiting the knowledge base, the system performs users' queries by computing of subsumption relationship between concepts. Our initial experiments on the prototype implementation reveal a promising application of the Semantic Web technologies.
机译:检索满足客户查询的适当记录会影响B2C场景中客户与供应商之间的交互。提出了一种基于语义网技术的智能查询系统。它尝试回答某些条件下的问题,例如哪种花适合作为礼物。我们通过Web本体语言(OWL)完善了领域知识并构建了知识库。该系统利用知识库,通过计算概念之间的包含关系来执行用户查询。我们对原型实现的初步实验表明,语义Web技术的应用前景广阔。

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