Abstract
Large-scale control systems, as encountered in the domain of road traffic
management, typically deal with highly-dynamic environments providing information
about a large number of real-world objects, which stem from multiple heterogeneous
sources and are anchored in time and space. Human operators of such systems
face information overload which endangers the recognition of critical situations.
Situation awareness systems should support operators fulfilling their tasks by
leveraging their awareness of the ongoing situations. However, current approaches
to SAW miss a common conceptual model necessary for various aspects of SAW.
Although the application of ontologies for filling this gap has been proposed in recent
years, ontology-driven SAW systems are nevertheless still in their infancy. In
this paper, we shape the vision of an ontology-driven SAW system by the analysis
of application scenarios facilitating the features of formal ontologies. We illustrate
the suggested scenarios with examples from the field of road traffic management
and argue that an ontology-driven SAW system does not replace but may actually
enhance traditional probabilistic approaches to SAW.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 3rd Workshop on Formal Ontologies Meet Industry (FOMI2008) |
| Publication status | Published - 2008 |
Fields of science
- 101004 Biomathematics
- 101027 Dynamical systems
- 101028 Mathematical modelling
- 101029 Mathematical statistics
- 101014 Numerical mathematics
- 101015 Operations research
- 101016 Optimisation
- 101017 Game theory
- 101018 Statistics
- 101019 Stochastics
- 101024 Probability theory
- 101026 Time series analysis
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102004 Bioinformatics
- 102013 Human-computer interaction
- 102018 Artificial neural networks
- 102019 Machine learning
- 103029 Statistical physics
- 106005 Bioinformatics
- 106007 Biostatistics
- 202017 Embedded systems
- 202035 Robotics
- 202036 Sensor systems
- 202037 Signal processing
- 305901 Computer-aided diagnosis and therapy
- 305905 Medical informatics
- 305907 Medical statistics
- 102032 Computational intelligence
- 102033 Data mining
- 101031 Approximation theory
- 102002 Augmented reality
- 102006 Computer supported cooperative work (CSCW)
- 102015 Information systems
- 102021 Pervasive computing
- 102025 Distributed systems
- 102027 Web engineering
- 202038 Telecommunications