Abstract
Situation awareness enables an intelligent agent to determine
the meaning of perceived information in highly dynamic
environments and to share the thereby discovered
knowledge. Recently, ontology-based approaches to situation
awareness have been proposed; some of them facilitate
upper ontologies in order to provide a common vocabulary
for collaborating agents and information sources.
This paper proposes an evaluation framework for such upper
ontologies to elaborate missing features and to develop
a better understanding of the diverse concepts involved.
To demonstrate the applicability of the evaluation framework,
four upper ontologies providing concepts for situation
awareness are compared. The findings from this comparison
indicate common as well as mutual weaknesses of
the examined approaches.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Knowledge Sharing and Collaborative Engineering (KSCE 06) |
Number of pages | 9 |
Publication status | Published - 2006 |
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