计算机工程2011，Vol.37Issue(21)：162-164,3.DOI:10.3969/j.issn.1000-3428.2011.21.055
改进的大规模本体分块与映射方法
Improved Method of Large Scale Ontology Partition and Mapping
摘要
Abstract
Due to the shortcomings in current large scale ontology mapping, this paper proposes an improved method of large scale ontology partition and mapping. The ontologies are represented in Directed Acyclic Graph(DAG) structures by preprocessing. So, the ontology partition question is changed into a graph partition question. It uses Genetic Partition Ontology(GPO) algorithm which based on genetic algorithm to partition the DAG Blocks from different ontology are matched by combining two methods of ontology blocks structure as well as predifind anchors. Experimental results show that the improved method can acquire good matching results.关键词
大规模本体/图分割/遗传算法/本体分块/块映射Key words
large scale ontology/graph partition/genetic algorithm/ontology partition/block mapping分类
信息技术与安全科学引用本文复制引用
郭赛球,阳王东,祝青..改进的大规模本体分块与映射方法[J].计算机工程,2011,37(21):162-164,3.基金项目
益阳市2010年第一批指导性科技计划基金资助项目(2010JZ21) （2010JZ21）
