利用本体匹配中的结构信息

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) Pub Date : 2016-03-23 DOI:10.1109/AINA.2016.64

Cheng Xie, M. Chekol, Blerina Spahiu, Hongming Cai

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引用次数: 10

摘要

本体匹配是使语义网充分发挥其潜力的重要组成部分。大多数现有的本体匹配方法主要基于语言信息(标签、名称、标题和评论)，但从所取得的结果来看，这些信息是不够的。最新的本体匹配研究工作是利用“相似性泛洪”方法深入挖掘本体的结构信息。然而，相似性泛洪方法存在一些固有的问题，会导致错误的匹配结果。本文研究了本体匹配中的相似性泛洪问题，提出了一种有效利用本体结构信息的新方法。在2011 - 2015年的OAEI本体匹配基准上进行评价。结果表明，该方法与现有的匹配系统相比具有较好的性能。

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Leveraging Structural Information in Ontology Matching

Ontology matching is an important part of enabling the semantic web to reach its full potential. Most existing ontology matching methods are mainly based on linguistic information (label, name, title and comment) but from the results achieved it is realized that this information is not sufficient. The latest ontology matching research works are trying to deeply dig into the structural information of ontologies by using "similarity-flooding" method. However, there are several innate issues in similarity-flooding methods that lead to wrong matching results. In this paper, we report the problems of similarity-flooding in ontology matching and propose a novel method to effectively leverage the structural information of the ontology. The evaluation is conducted on OAEI ontology matching benchmarks from 2011 to 2015. The result shows that the proposed approach performs comparatively well with other state of the art matching systems.

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2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

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