| 基于WordNet的本体概念匹配算法改进 |
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| 引用本文： | 廖晓锋,QIU Gui-hua.基于WordNet的本体概念匹配算法改进[J].计算机与现代化,2008(8):97-99. |
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| 作者姓名： | 廖晓锋 QIU Gui-hua |
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| 作者单位： | 南昌大学信息工程学院信息管理系,江西,南昌,330031 |
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| 摘 要： | 本体（Ontology）是共享概念模型的明确的形式化规范说明。本文首先介绍了斯坦福大学的半自动本体合并工具Prompt在本体概念匹配方面的缺点：忽略了概念的语义信息，无法识别同义词。对Thanh Dao提出的基于WordNet的概念语义相似度算法进行改进，并将其用于Prompt，弥补了其无法进行语义匹配的缺陷。
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| 关 键 词： | 本体 合并 概念匹配 Prompt Wordnet |
Ontology Concept Matching Algorithm Improvement Based on WordNet |
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| LIAO Xiao-feng,QIU Gui-hua.Ontology Concept Matching Algorithm Improvement Based on WordNet[J].Computer and Modernization,2008(8):97-99. |
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| Authors: | LIAO Xiao-feng QIU Gui-hua |
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| Affiliation: | LIAO Xiao-feng, QIU Gui-hua (1. Department of Information Management, Nanehang University, Nanehang 330031, China; 2. Department of Computer Science, Lantian College, Nanehang 330098, China) |
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| Abstract: | An ontology is a formal specification of a shared conceptualization.The paper analyzes the Prompt and finds that its concept matching algorithm is too simple.It ignores the semantic information of the concept and can't match the synonym.The paper amendes Thanh Dao's WodNet-based concept similarity algorithm and uses it in Prompt to supply a gap. |
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| Keywords: | Ontology merging concept matching Prompt WordNet |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
