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Towards the Geo-spatial Querying of the Semantic Web with ONTOAST

机译:使用ONTOAST进行语义网的地理空间查询

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摘要

One of the challenges raised by the construction of the semantic Web lies in the analysis and management of complex relationships (thematic, spatial and temporal) connecting several resources. The automatic discovery of such relations will improve the current capabilities of existing search engines. Spatial information plays an important role in the resources available on the Web, thus, integrating spatial criteria into queries addressed to search engines would increase the power of expression of the formulation and will improve the search result. However, ontology languages of the semantic Web, OWL in particular, still do not have the expected specific characteristics for a well adapted representation and exploitation of spatial data. We present here ONTOAST, a spatial ontology modeling and reasoning system. ONTOAST manages qualitative spatial relations which can be used to express spatial queries. It also handles the inference of new qualitative relations, thus increasing the spatial-based search capabilities.
机译:语义Web的构建提出的挑战之一是分析和管理连接多种资源的复杂关系(主题,空间和时间)。这种关系的自动发现将改善现有搜索引擎的当前功能。空间信息在Web上可用的资源中起着重要的作用,因此,将空间标准集成到针对搜索引擎的查询中将增加公式表达的能力并改善搜索结果。但是,语义Web的本体语言(尤其是OWL)仍然没有针对空间数据的良好适应表示和开发所期望的特定特征。我们在这里介绍ONTOAST,一种空间本体建模和推理系统。 ONTOAST管理可用于表达空间查询的定性空间关系。它还处理新的定性关系的推断,从而提高了基于空间的搜索功能。

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