Abstract:
In order to extract ontology from semi-structure information sources, analyse and deal with information sources accordantly, this paper provides a new conceptual model for data sources and a sets of rules from semi-structure information sources to conceptual model. Based on this model, a method to compute refined semantic similarity among objects of sources is provided.
Key words:
Ontology,
Semantic-distance-similarity graph (SDS-G),
0 neighbor similarity analysis,
i neighbor similarity analysis
摘要: 为了从半结构化的信息源中提取本体和统一地分析和处理所有信息源,该文为数据源提供了一个统一的概念模型,并定义了半结构化信息源到概念模型的转换规则。基于该模型,提出了计算模式中对象间精确语义相似性的方法。
关键词:
本体,
语义距离相关图,
0近邻相似性分析,
i近邻相似性分析
GAO Ying; GUO Heqing; ZOU Zhimin. Method of Extracting Refined Semantic Similarity Among Objects of Information Sources[J]. Computer Engineering, 2007, 33(02): 18-21.
高 英;郭荷清;邹智敏. 信息源中对象间精确语义相似性的提取方法[J]. 计算机工程, 2007, 33(02): 18-21.