Relational.OWL: a data and schema representation format based on OWL
APCCM '05 Proceedings of the 2nd Asia-Pacific conference on Conceptual modelling - Volume 43
SIADEX: An interactive knowledge-based planner for decision support in forest fire fighting
AI Communications - Binding Environmental Sciences and AI
SenseWeb: An Infrastructure for Shared Sensing
IEEE MultiMedia
Information Technologies and International Development
IrisNet: An Architecture for a Worldwide Sensor Web
IEEE Pervasive Computing
IEEE Internet Computing
A knowledge-oriented meta-framework for integrating sensor network infrastructures
Computers & Geosciences
FloodNet: coupling adaptive sampling with energy aware routing in a flood warning system
Journal of Computer Science and Technology
SemSOS: Semantic sensor Observation Service
CTS '09 Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems
Knowledge representation in the semantic web for Earth and environmental terminology (SWEET)
Computers & Geosciences
Enabling ontology-based access to streaming data sources
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
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Semantic Sensor Web infrastructures use ontology-based models to represent the data that they manage; however, up to now, these ontological models do not allow representing all the characteristics of distributed, heterogeneous, and web-accessible sensor data. This paper describes a core ontological model for Semantic Sensor Web infrastructures that covers these characteristics and that has been built with a focus on reusability. This ontological model is composed of different modules that deal, on the one hand, with infrastructure data and, on the other hand, with data from a specific domain, that is, the coastal flood emergency planning domain. The paper also presents a set of guidelines, followed during the ontological model development, to satisfy a common set of requirements related to modelling domain-specific features of interest and properties. In addition, the paper includes the results obtained after an exhaustive evaluation of the developed ontologies along different aspects i.e., vocabulary, syntax, structure, semantics, representation, and context.