数据挖掘领域本体模型的研究
首发时间:2007-08-24
摘要:数据挖掘是当前计算机科学研究的活跃领域。该领域知识的不断扩充和更新,使得数据挖掘工作者在实施数据挖掘时,对众多的领域知识进行选择使用上存在困难。为了协助数据挖掘工作者的工作,本研究将本体理论引入到数据挖掘领域知识管理中,通过使用本体构建工具Protégé 作为平台,提出了一个开放的、可扩充的数据挖掘知识管理协助系统。本文对数据挖掘领域知识本体模型的研究做了重点阐述,包括数据挖掘本体的构建和使用PAL语言来实现知识概念的简单推论。
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A Research on Ontology Model in Data Mining
Abstract:Data Mining is an active area in recent computer science. The expansion and renewal of the knowledge in this field make it difficult to make choices for the researchers when they implement data mining. This research applies ontology to manage the knowledge in the data mining domain and presents a exoteric and extensible assistance system for knowledge management of data mining by using Protégé as a platform. This paper indroduces the research on ontology model of data mining in details, including the construct of data mining ontology and the simple deductions of conceptions by using PAL.
Keywords: Data Mining, Ontology, Protégé
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No.1469613244911879****
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