A Process-Centric Ontological Approach for Integrating Geo-Sensor Data

被引：2

作者：

Devaraju, Anusuriya ^{[1
]}

Kuhn, Werner ^{[1
]}

机构：

[1] Univ Munster, Inst Geoinformat, Munster, Germany

来源：

FORMAL ONTOLOGY IN INFORMATION SYSTEMS (FOIS 2010) | 2010年 / 209卷

关键词：

Semantic heterogeneities; sensor data; ontology; surface hydrological processes; DOLCE;

D O I：

10.3233/978-1-60750-535-8-199

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce a process-centric ontological approach to relate observed properties to geo-processes that influence those observations. These relations are used to handle semantic heterogeneities that impede the integration of geo-sensor data. Our approach comprises a process-centric hydrology ontology and its alignment with the DOLCE foundational ontology. We describe how DOLCE assists in classifying two hydrological processes and their participating entities. Our preliminary results indicate that the process-centric ontological approach can be used to resolve process and property naming ambiguity within a domain. We consider this as a first step toward a process-centric semantic integration of geo-sensor data.

引用

页码：199 / 212

页数：14

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