A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Logical foundations of object-oriented and frame-based languages
Journal of the ACM (JACM)
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
AI Magazine
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
Building a global normalized ontology for integrating geographic data sources
Computers & Geosciences
SoKNOS: using semantic technologies in disaster management software
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Knowledge acquisition from sensor data in an equine environment
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Enabling Query Technologies for the Semantic Sensor Web
International Journal on Semantic Web & Information Systems
Proceedings of the First ACM SIGSPATIAL Workshop on Sensor Web Enablement
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With the specifications defined through the Sensor Web Enablement initiative of the Open Geospatial Consortium, flexible integration of sensor data is becoming a reality. Challenges remain in the discovery of appropriate sensor information and in the real-time fusion of this information. This is important, in particular, in disaster management, where the flow of information is overwhelming and sensor data must be easily accessible for non-experts (fire brigade officers). We propose to support, in this context, sensor discovery and fusion by "semantically" annotating sensor services with terms from an ontology. In doing so, we employ several well-known techniques from the GIS and Semantic Web worlds, e.g., for semantic matchmaking and data presentation. The novel contribution of our work is a carefully arranged tool architecture, aimed at providing optimal integration support, while keeping the cost for creating the annotations at bay. We address technical details regarding the interaction and functionality of the components, and the design of the required ontology. Based on the architecture, after minimal off-line effort, on-line discovery and integration of sensor data is no more difficult than using standard GIS applications.