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ISPRS Int. J. Geo-Inf. 2018, 7(1), 2; https://doi.org/10.3390/ijgi7010002

A Hydrological Sensor Web Ontology Based on the SSN Ontology: A Case Study for a Flood

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China
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Received: 16 November 2017 / Revised: 14 December 2017 / Accepted: 22 December 2017 / Published: 24 December 2017
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Abstract

Accompanying the continuous development of sensor network technology, sensors worldwide are constantly producing observation data. However, the sensors and their data from different observation platforms are sometimes difficult to use collaboratively in response to natural disasters such as floods for the lack of semantics. In this paper, a hydrological sensor web ontology based on SSN ontology is proposed to describe the heterogeneous hydrological sensor web resources by importing the time and space ontology, instantiating the hydrological classes, and establishing reasoning rules. This work has been validated by semantic querying and knowledge acquiring experiments. The results demonstrate the feasibility and effectiveness of the proposed ontology and its potential to grow into a more comprehensive ontology for hydrological monitoring collaboratively. In addition, this method of ontology modeling is generally applicable to other applications and domains. View Full-Text
Keywords: hydrological sensor web; Semantic Sensor Network; ontology modeling; semantic reasoning; flood stages hydrological sensor web; Semantic Sensor Network; ontology modeling; semantic reasoning; flood stages
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Wang, C.; Chen, N.; Wang, W.; Chen, Z. A Hydrological Sensor Web Ontology Based on the SSN Ontology: A Case Study for a Flood. ISPRS Int. J. Geo-Inf. 2018, 7, 2.

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