摘要
本文在阐述了本体及企业本体模型的基础上,阐明了企业本体在企业中的重要意义,鉴于数据挖掘技术所特有的作用和优势,有选择地介绍了数据挖掘原语DMQL的内容,提出了一种基于数据挖掘原语DMQL建立企业本体模型的方法,并以一个企业本体实例有力地证明了该技术的可行性。由挖掘信息来部分替代传统的领域专家的作用,使本体的建立更加智能化,减少了可能由主观因素和人为失误所带来的不良后果。
In this article, the author presents a way of creating an enterprise ontology based on DMQL of data mining technology. First of all, the author gives us a general introduction of Ontology and Enterprise Ontology, and illustrates the important role it plays in the enterprise. After that, the author come to the data mining, and presents the function and superiority of such a technology, and at the same time, the author refers to the content of DMQL selectively. At last, given a instance of enterprise ontology to proved the feasibility of such a technology, and make the paper more and more persuasive. Based on the data mining technology instead of using traditional methods, it can make the ontology more intelligent, In that case, it reduces the bad consequences which are brought by subjective factors and misplay taken by people.
出处
《微计算机信息》
北大核心
2006年第06X期228-230,共3页
Control & Automation
基金
国家自然科学基金资助项目(70472005)
教育部人文社科项目资助(03JD630025)
