Ontology-based Vegetable Supply Chain Knowledge Searching System

Jun Yue, Zhenbo Li, Zetian Fu
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引用次数: 2

Abstract

Representing and organizing knowledge is important for a semantic knowledge searching system. To implement vegetable supply chain knowledge searching, we build three ontologies on the base of our investigation: the vegetable supply chain domain ontology, the user ontology and the knowledge content ontology. And meantimes, a metadata model is set up, we integrate these ontologies and metadata model together by setting up the relationships of these classes. Finally we formalize the metadata by RDF (resource description framework) and implement the searching system on the knowledge database of vegetable supply chain. Through the semantic searching, the users can get more suitable knowledge of vegetable supply chain
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基于本体的蔬菜供应链知识搜索系统
知识的表示和组织是语义知识搜索系统的重要组成部分。为了实现蔬菜供应链知识搜索,我们在调研的基础上构建了三个本体:蔬菜供应链领域本体、用户本体和知识内容本体。同时建立元数据模型,通过建立类之间的关系,将这些本体和元数据模型集成在一起。最后利用RDF(资源描述框架)对元数据进行形式化,实现了蔬菜供应链知识库的搜索系统。通过语义搜索,用户可以获得更适合的蔬菜供应链知识
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