计算机科学 ›› 2010, Vol. 37 ›› Issue (3): 149-151164.
• 软件工程与数据库技术 • 上一篇 下一篇
张国强，贾素玲，王强
出版日期:
发布日期:
基金资助:
ZHANG Guo-qiang，JIA Su-ling，WANG Qiang
Online:
Published:
摘要： 摘要关系型数据是企业的重要资源，针对当前关系数据库中海量数据的知识提取转换问题，对如何将关系型数据提取表示为OWL DL本体进行了研究。在形式化关系数据记录和本体模型的基础上，设计了转换算法来提取关系数据并将其转换为本体形式，对其中的标识和关联等关键问题进行了重点研究，最后以实例验证展示算法。该方法的提出可以使本体开发者更容易地将关系数据提取为知识，为快速构建企业知识本体提供了新的途径。
关键词: ，OW工DI，关系数据，知识提取
Abstract: For converse the massive relational data to knowledge, the paper studied how to extract relational data to construct a OWI_ DI. ontology. Based on the formalization of relational data records and knowledge ontology, an algorithm was designed to realize the extraction and conversion. Some key issues such as the identity and relationship table were studied. Finally a case was designed to test and verify the algorithm The proposed method can help ontology developers extract the relational data into knowledge more easily, and provide a rapid way to build ontology for the realizalion of knowledge management.
Key words: Ontology,OWL DL,Relational data,Knowledge extraction
张国强，贾素玲，王强. 基于OWL DL的关系数据知识提取研究[J]. 计算机科学, 2010, 37(3): 149-151164. https://doi.org/
ZHANG Guo-qiang，JIA Su-ling，WANG Qiang. Ontology-based Knowledge Extraction of Relational Data[J]. Computer Science, 2010, 37(3): 149-151164. https://doi.org/
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://www.jsjkx.com/CN/
https://www.jsjkx.com/CN/Y2010/V37/I3/149
Cited
首页