基于本体属性的基础地理信息概念语义相似性计算模型

语义相似性对于知识自动共享与集成起着非常重要的作用。在许多地理信息的应用领域，通常直接将分类体系作为领域(或任务)本体，并基于此计算概念间的语义距离以实现相似度计算。该方法虽然能够快速、简便地计算概念间的语义相似度，但是有时却因为分类体系的改变而造成相同概念间的相似度产生差异，甚至可能是错误的计算结果。本文面向基础地理信息领域，利用属性枚举方法表达概念的本质语义特征，从基础地理信息概念的内涵出发，提出基于本体属性的语义相似性计算模型。该模型将每个概念表达为本体属性集合，利用相关本体属性的相似性，结合权重信息计算概念的相似性。最后从基础地理信息概念中提取出100组样本，计算概念间的语义相似度并验证基于本体属性模型的有效性。实验结果表明基于本体属性的模型能更合理地计算出基础地理信息概念的相似度。

Semantic Similarity Measurement Model between Fundamental Geographic Information Concepts Based on Ontological Property

Semantic similarity plays an important role in the knowledge sharing and data integration. Currently, in some geographical information related applications, the similarity between geographical concepts was measured with the semantic distance of concepts within domain ontology, which was usually captured from the specified concept taxonomies directly. By this method, though the similarity between concepts can be defined easily and fast, because of the alteration of the concept taxonomy, the discrepancies of similarity may exist even in a same concept pair and possibly cause the mistakes in the similarity measurements. This article proposes a semantic similarity measurement model based on the intrinsic features of the concepts, represented by the attribution enumeration for the need of fundamental geographical domain application. In this model, a set of ontology properties, representing the natural features of each concept, were defined to model each fundamental geographic concept. After that, the similarity of each pairs of the concepts can be measured by integrating the similarity of each ontological property and its corresponding weight, which were defined by the experts. In this paper, a hundred samples of the concepts of the fundamental geographic information were chosen to compute their similarity. The results showed that this proposed approach achieved good performance in measuring the similarity of the fundamental geographic information concepts.