首页|期刊导航|东华大学学报（英文版）|A Semantic-based Clustering Method to Build Domain Ontology from Multiple Heterogeneous Knowledge Sources
东华大学学报（英文版）2006，Vol.23Issue(2)：1-7,7.
A Semantic-based Clustering Method to Build Domain Ontology from Multiple Heterogeneous Knowledge Sources
A Semantic-based Clustering Method to Build Domain Ontology from Multiple Heterogeneous Knowledge Sources
摘要
Abstract
In order to improve the efficiency of ontology construction from heterogeneous knowledge sources, a semantic-based approach is presented. The ontology will be constructed with the application of cluster technique in an incremental way.Firstly, terms will be extracted from knowledge sources and congregate a term set after pretreat-ment. Then the concept set will be built via semantic-based clustering according to semanteme of terms provided by WordNet. Next, a concept tree is constructed in terms of mapping rules between semanteme relationships and concept relationships. The semi-automatic approach can avoid non-consistence due to knowledge engineers having different understanding of the same concept and the obtained ontology is easily to be expanded.关键词
ontology building/heterogeneous knowledge sources/semantic-based clustering/WordNetKey words
ontology building/heterogeneous knowledge sources/semantic-based clustering/WordNet分类
社会科学引用本文复制引用
LING Ling,HU Yu-jin,WANG Xue-lin,LI Cheng-gang..A Semantic-based Clustering Method to Build Domain Ontology from Multiple Heterogeneous Knowledge Sources[J].东华大学学报（英文版）,2006,23(2):1-7,7.基金项目
We gratefully acknowledge the support of NSFC (China) under grant 50475142. （China）
