Temporal reasoning based on semi-intervals
Artificial Intelligence
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Qualitative representation of positional information
Artificial Intelligence
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Situated nonmonotonic temporal reasoning with BABY‐SIT
AI Communications
An approach to data fusion for context awareness
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Semantic similarity of ontology instances tailored on the application context
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
A software architecture for ontology-driven situation awareness
Proceedings of the 2008 ACM symposium on Applied computing
Proceedings of the 2008 conference on Formal Ontologies Meet Industry
"Same, Same but Different" A Survey on Duplicate Detection Methods for Situation Awareness
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
On Optimization of Predictions in Ontology-Driven Situation Awareness
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Editorial: BeAware!-Situation awareness, the ontology-driven way
Data & Knowledge Engineering
Situation prediction nets: playing the token game for ontology-driven situation awareness
ER'10 Proceedings of the 29th international conference on Conceptual modeling
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Ontology-based approaches to situation awareness have gained increasing popularity in recent years. However, most current approaches face two inherent problems. First, they lack sufficient support for assessing evolutions of situations, which is crucial for informing (human) agents about emerging instances of interesting situation types. Second, they are confronted with the problem of recognizing situations that are just similar to a situation type an agent is interested in. Our approach contributed in this paper is based on conceptual neighborhoods of relations which we generalize to conceptual neighborhoods of situations. These conceptual neighborhoods turn out to be the basis for addressing both problems, the assessment of evolving as well as similar situations. The applicability of our approach is demonstrated by an in-depth case study in the domain of road traffic management.