Abstract
Situation awareness involves the identification of relationships among objects participating in an evolving situation. This problem in general is intractable and thus requires additional constraints and guidance defined by the user if there is to be any hope of creating practical situation awareness systems. This paper describes a Situation Awareness Assistant (SAWA) based on Semantic Web technologies that facilitates the development of user-defined domain knowledge in the form of formal ontologies and rule sets and then permits the application of the domain knowledge to the monitoring of relevant relations as they occur in a situations. SAWA includes tools for developing ontologies in OWL and rules in SWRL and provides runtime components for collecting event data, storing and querying the data, monitoring relevant relations and viewing the results through a graphical user interface. An application of SAWA to a scenario from the domain of supply logistics is presented along with a discussion of the challenges encountered in using SWRL for this task.
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Keywords
- Graphical User Interface
- Domain Knowledge
- Resource Description Framework
- Situation Awareness
- Event Stream
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
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Matheus, C.J., Kokar, M.M., Baclawski, K., Letkowski, J.J. (2005). An Application of Semantic Web Technologies to Situation Awareness. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds) The Semantic Web – ISWC 2005. ISWC 2005. Lecture Notes in Computer Science, vol 3729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11574620_67
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DOI: https://doi.org/10.1007/11574620_67
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