Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Temporal reasoning based on semi-intervals
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Hierarchical Situation Modeling and Reasoning for Pervasive Computing
SEUS-WCCIA '06 Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)
IEEE Transactions on Knowledge and Data Engineering
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
The Computer Journal
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Processing Ontology Alignments with SPARQL
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
A blueprint for higher-level fusion systems
Information Fusion
An integrated approach to high-level information fusion
Information Fusion
Ontology-based situation awareness
Information Fusion
Reusing ontologies on the Semantic Web: A feasibility study
Data & Knowledge Engineering
A distributed architecture for symbolic data fusion
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
UFOme: An ontology mapping system with strategy prediction capabilities
Data & Knowledge Engineering
An ontology for mobile device sensor-based context awareness
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
On relating heterogeneous elements from different ontologies
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Designing a data fusion system using a top-down approach
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Situation prediction nets: playing the token game for ontology-driven situation awareness
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Towards duplicate detection for situation awareness based on spatio-temporal relations
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
Situation prediction nets: playing the token game for ontology-driven situation awareness
ER'10 Proceedings of the 29th international conference on Conceptual modeling
SemGen: towards a semantic data generator for benchmarking duplicate detectors
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Towards modeling dynamic behavior with integrated qualitative spatial relations
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
Making workflows situation aware: an ontology-driven framework for dynamic spatial systems
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Realizing networks of proactive smart products
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
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Information overload is a severe problem for human operators of large-scale control systems as, for example, encountered in the domain of road traffic management. Operators of such systems are at risk to lack situation awareness, because existing systems focus on the mere presentation of the available information on graphical user interfaces-thus endangering the timely and correct identification, resolution, and prevention of critical situations. In recent years, ontology-based approaches to situation awareness featuring a semantically richer knowledge model have emerged. However, current approaches are either highly domain-specific or have, in case they are domain-independent, shortcomings regarding their reusability. In this paper, we present our experience gained from the development of BeAware!, a framework for ontology-driven information systems aiming at increasing an operator's situation awareness. In contrast to existing domain-independent approaches, BeAware!'s ontology introduces the concept of spatio-temporal primitive relations between observed real-world objects thereby improving the reusability of the framework. To show its applicability, a prototype of BeAware! has been implemented in the domain of road traffic management. An overview of this prototype and lessons learned for the development of ontology-driven information systems complete our contribution.