| 基于数据挖掘的ontology应用框架 |
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| 引用本文： | 陈锋,郭禾,代莉,王宇新,杨宏戟.基于数据挖掘的ontology应用框架[J].大连理工大学学报,2003,43(Z1):142-145. |
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| 作者姓名： | 陈锋 郭禾 代莉 王宇新 杨宏戟 |
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| 作者单位： | 1. 大连理工大学计算机科学与工程系,辽宁,大连,116024
2. 蒙特福特大学计算机科学系,英国 |
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| 摘 要： | 提出了一个通用数据挖掘系统框架(GDMF)模型.其目的是为了能够从数据挖掘应用中抽取出核心功能并将其应用到可重用可扩展的原型系统中,以便快速地建造数据挖掘应用系统.在GDMF中ontology被用做语义数据模型.通过使用ontology驱动的数据挖掘查询语言,用户能够很轻松地表达一些复杂查询.最后,给出了使用GDMF作为一个建模工具去设计数据挖掘系统的方法.
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| 关 键 词： | 数据挖掘 本体 软件体系结构 软件可适应性 data mining ontology software architecture |
An application framework for ontology-based data mining |
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| Abstract.An application framework for ontology-based data mining[J].Journal of Dalian University of Technology,2003,43(Z1):142-145. |
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| Authors: | Abstract |
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| Abstract: | A General Data Mining System Framework (GDMF) model is presented. The aim of GDMF is to abstract the core functions from data mining applications and put them into a reusable and extensible prototype system, so that the data mining application system can be built rapidly. The ontology is used as a semantic data model in GDMF. With ontology-driven data mining query language, the users are able to express more complex queries in a comfortable style. Finally, the method for using GDMF as a modeling tool to design a data mining system is given. |
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| Keywords: | data mining ontology software architecture software adaptability |
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