The Research on Ontology-Driven Semantic Retrieval of Enterprise Data

Yuanzheng Shao, Lelin Li, Zhenhong Du, Qiang Qi
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引用次数: 4

Abstract

Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval model are analyzed and studied. By using field ontology, semantic research procedure for different types of enterprise data is proposed and implemented. Different types of enterprise data for the semantic reunification process can be presented and achieved in the system based on field ontology. It is believed that the problems about enterprise knowledge integration and retrieval could be solved in some manner according to the experimental results.
本体驱动的企业数据语义检索研究
传统的基于关键词的搜索引擎由于忽略了关键词内部的语义信息,查全率和查准率都很低。针对这一点,本文提出了一些语义检索系统的设计思路和检索过程。分析和研究了语义检索模型中涉及的关键技术。利用领域本体,提出并实现了针对不同类型企业数据的语义研究流程。基于领域本体的系统可以呈现和实现用于语义统一过程的不同类型的企业数据。实验结果表明,该方法在一定程度上解决了企业知识集成与检索问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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