基于遗传算法和种子概念的本体概念提取算法  

Extracting ontology concept based on genetic algorithm and seed concept

作　　者：王红滨[1] 刘大昕 王念滨[1] 

机构地区：[1]哈尔滨工程大学计算机科学与技术学院

出　　处：《系统工程与电子技术》2010年第11期2465-2469,共5页Systems Engineering and Electronics

基　　金：国家高技术研究发展计划(863计划)基金(2007AA04Z147);国家自然科学基金(60973028);中央高校基本科研业务费专项资金(HEUCF100605)资助课题

摘　　要：本体学习技术是利用本体工程技术和机器学习技术等众多学科技术来实现本体(半)自动构建的一项技术。通过研究中文本体学习这一领域存在的问题,提出了基于遗传算法和种子概念的本体概念提取算法。介绍了当前基于非结构化数据源的本体概念主要提取算法,在遗传算法和种子概念的基础上,设计了一种基于非结构化数据源的本体概念提取算法。实验证明,本算法在特定领域本体学习方面取得了良好的效果。Ontology learning aims at the integration of a multitude of disciplines such as ontology engineering techniques and machine learning techniques to construct the ontology（semi） automatically.Based on the study of the problems in Chinese ontology learning,a new extracting algorithm for ontology concept is presented based on genetic algorithm and seed concept from non-structure data.The current methods of extracting the ontology concept from non-structure data are introduced.Based on genetic algorithm and seed concept,a new extracting ontology concept algorithm is presented based on extracting ontology concept methods from non-structure data.Experiment results show that this algorithm achieves good results in a specified domain environment.

关 键 词：本体学习 遗传算法 扩展种子概念 种子繁殖 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]