《计算机应用研究》|Application Research of Computers

一种综合事件本体相似度计算方法

Comprehensive approach for event ontology similarity computation

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作者 朱文跃,刘炜,刘宗田
机构 上海大学 计算机工程与科学学院,上海 200444
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文章编号 1001-3695(2019)08-019-2332-06
DOI 10.19734/j.issn.1001-3695.2018.01.0077
摘要 事件本体相比于传统本体具有更加丰富的语义信息,在面向事件的大数据集成中更具优势,然而用传统的本体相似计算方法计算事件本体相似度存在很多不足。提出了一种综合的事件本体相似度计算方法。该方法以词语相似度、集合相似度、层次结构相似计算为基础,然后从事件类名称、事件类要素、事件类层次结构和非层次结构讨论事件本体的相似度,最终获得事件本体的综合相似度。实验表明该方法相比传统本体相似度计算方法准确率更高,语义信息更加丰富。
关键词 本体; 事件本体; 概念相似度; 语义; 相似度计算; 事件本体相似度
基金项目 国家自然科学基金资助项目(61273328,613050553)
上海市软科学研究计划资助项目(15692110200)
本文URL http://www.arocmag.com/article/01-2019-08-019.html
英文标题 Comprehensive approach for event ontology similarity computation
作者英文名 Zhu Wenyue, Liu Wei, Liu Zongtian
机构英文名 School of Computer Engineering & Science,Shanghai University,Shanghai 200444,China
英文摘要 Event ontology had more rich semantic information than traditional ontology, and had more advantages in event-oriented big data integration. There were many deficiencies in calculating the similarity of event ontology using traditional ontology similarity computation methods. So a comprehensive approach for calculating similarity of event ontology was proposed. This approach was based on words similarity computation, set similarity computation and hierarchical similarity computation, then, discussed event ontology similarity from the event class name, event class elements, event class hierarchy and event class non-hierarchy structure, finally got the comprehensive similarity of event ontology. Experimental results show that this approach is more accurate than the traditional ontology similarity computation approach and its semantic information is more abundant.
英文关键词 ontology; event ontology; concept similarity; semantic; similarity computation; event ontology similarity
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收稿日期 2018/1/31
修回日期 2018/3/26
页码 2332-2337
中图分类号 TP391
文献标志码 A