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首页> 外文期刊>Transactions in GIS: TG >Automatic Representation of Geographical Data from a Semantic Point of View through a New Ontology and Classification Techniques
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Automatic Representation of Geographical Data from a Semantic Point of View through a New Ontology and Classification Techniques

机译：通过一种新的本体和分类技术从语义的角度自动表示地理数据

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摘要

Providing Geographical Information Systems with mechanisms for processing geo-data based on their semantics may help to solve problems like heterogeneity. This is because GIS could process geo-data focusing on their meaning and not on their syntax and/or structure. An important aspect for achieving these objectives is the establishment of an automatic means of correspondence between geo-data and their conceptualization in Higher Levels Ontologies (HLO). In this article, a new type of Ontology is proposed (Data-Representation Ontology (DRO)). This Ontology describes the semantic embedded in geo-data, which cannot be represented in current types of Ontologies. Across this Ontology, heterogeneous geographical data can be integrated in the semantic space contributing positively to the development of solutions for the problems of interoperability between heterogeneous systems. Likewise, we propose a new method for the automatic generation of the DRO and its interrelationships with HLO, based on pattern classification techniques. The experiments show that once the DRO is generated, the classifier can classify all data correctly. Thus, these data are semantically enriched. Moreover, this article shows how the topological relationships can enrich the semantics in the generated Ontology and increase the effectiveness of spatial analysis.
机译：为地理信息系统提供基于语义的处理地理数据的机制可能有助于解决异质性等问题。这是因为GIS可以根据其含义而不是其语法和/或结构来处理地理数据。实现这些目标的一个重要方面是建立地理数据与其在高级本体（HLO）中的概念化之间的自动对应方式。在本文中，提出了一种新型的本体（数据表示本体（DRO））。本本体描述了嵌入在地理数据中的语义，无法在当前的本体类型中表示。在整个本体中，异构地理数据可以集成在语义空间中，从而为解决异构系统之间的互操作性问题的解决方案做出了积极贡献。同样，基于模式分类技术，我们提出了一种自动生成DRO及其与HLO的相互关系的新方法。实验表明，一旦生成了DRO，分类器就可以正确分类所有数据。因此，这些数据在语义上得到了丰富。此外，本文还说明了拓扑关系如何丰富所生成本体中的语义并提高空间分析的有效性。

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