本文分析了傳統(tǒng)名稱(chēng)策略在本體映射中的不足。針對(duì)此問(wèn)題，提出了一種新的基于WordNet 名稱(chēng)策略算法，該算法實(shí)現(xiàn)名稱(chēng)核心詞匯的WordNet 定位用以消除詞義模糊性，從而提高詞相似度計(jì)算的精確度，并在詞相似度合并中采用C-C 原則，改善傳統(tǒng)詞相似度合并的盲目性。實(shí)驗(yàn)結(jié)果顯示，該算法在保證查全率的同時(shí)有效的提高了查準(zhǔn)率。
關(guān)鍵詞：本體；映射；名稱(chēng)策略
Abstract: This paper analyzes the main drawbacks of traditional name-based strategies for
ontology mapping. To solve the problems of name-based strategies, a new solution based on
WordNet is proposed. This solution maps core words of a concept to the WordNet to eliminate word ambiguity, using this approach will improve the accuracy of similarity calculation between words, and a C-C principle is adopted to solve the blindness problem which usually exists when combining similarity value between words. Experiment results show that this algorithm efficiently improves the precision while maintaining recall.
Key words: ontology; mapping; name strategy