基于领域本体的专业领域词汇相似度算法

专业领域词汇相似度计算是词汇语义相似度计算中的重要问题.通过分析专业领域词汇的构词特点,并结合领域本体概念模型,提出一种专业领域词汇相似度计算算法（domain ontology and morphology based algorithm,DOMBA）.该算法将专业领域词汇构词法与领域本体的概念相似度影响因子相结合,融于词汇相似度计算中.实验结果表明,词汇相似度计算结果符合客观实际的判断认识,DOMBA算法可有效应用于专业领域词汇相似度计算中.

Calculation of Field Term Similarity Based on Domain Ontology

The calculation of field term similarity is an imperative part in algorithms of computing words similarity. By means of analyzing the structure of Chinese field terms and utilizing the concept model of domain ontology, this paper proposes an algorithm of computing field term similarity （domain ontology and morphology based algorithm, DOMBA）. This algorithm combines the productive morphology and the influence factors of domain ontology together to improve the performance. Experiment results show that the value accords with the impersonality, which means that the DOMBA performs well in the calculation of field terms similarity.