利用本体的WFS要素语义检索研究
WFS Feature Semantic Retrieval Based on Ontology
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摘要: 为了实现基于多源WFS服务要素层次的语义检索,提出了一个要素本体的五元模型。在此框架下,研究了要素本体的自动构建方法,形式化定义了要素的空间关系,并扩展了逻辑关系以及空间关系的推理规则来实现要素层次的联合推理检索,并给出了联合规则推理的要素语义检索算法。实例证明,本文方法对多源WFS的语义查询具有实际的可行性,为多源WFS服务要素的语义检索提供了一个新的方法。Abstract: In order to achieve the semantic of feature from multi-WFS services,we propose a five-tuple feature ontology model.Firstly,the automatic construction methods about feature ontology are employed.Then,the multi-spatial relations are formalized among features.We extend the inference rules with logic and spatial reasoning to implement the reasoning retrieval on features.Finally,based on the ontology model and the combined inference rules,we give the algorithm of feature semantic retrieval.The results show that the method is supered usability.