Abstract:
The paper proposes concepts-weights vectors team matching algorithm. The method analyzes semantic about benchmark Ontology and evaluating Ontology. Then it creates concept weight vector basis of matching rules. At last it obtains result vector through matching concepts team.Based on the algorithm, the paper designes and implementes an Ontology search engine——WI OntoSearch.
Key words:
Ontology search; Concept weight vector; Concepts-weights vector team
摘要： 提出了概念-权向量组匹配算法。该算法对输入信息和待评估Ontology 进行语义分析，生成对应的概念-权向量组，利用概念-权向量组的匹配结果生成作为过滤和排序依据的结果向量。并利用该算法开发了Ontology 搜索引擎——WI OntoSearch。
关键词:
Ontology 搜索；概念权向量；概念-权向量组
GAO Mingxia, LIU Chunnian, CHEN Furong. Refined Ontology Search Engine Using Concepts-weights Vectors Team Matching Algorithm[J]. Computer Engineering, 2006, 32(8): 195-197.
高明霞，刘椿年，陈福荣. 利用概念-权向量组匹配算法的Ontology 搜索精化[J]. 计算机工程, 2006, 32(8): 195-197.