Extracting ontology concept based on genetic algorithm and seed concept

被引：1
|
作者：
Wang H.-B. [1 ]
Liu D.-X. [1 ]
Wang N.-B. [1 ]
机构：
[1] Coll. of Computer Science and Technology, Harbin Engineering Univ.
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2010年 / 32卷 / 11期
关键词：
Extended seed concept; Genetic algorithm; Ontology learning; Seed propagation;
D O I：
10.3969/j.issn.1001-506X.2010.11.44
中图分类号：
学科分类号：
摘要：
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.
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收藏
页码：2465 / 2469
页数：4
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