CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
The art of systems architecting (2nd ed.)
The art of systems architecting (2nd ed.)
At Home with Ubiquitous Computing: Seven Challenges
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Ontologies and semantics for seamless connectivity
ACM SIGMOD Record
Process models representing knowledge for action: a revised quality framework
European Journal of Information Systems - Special issue: Action in language, organisations and information systems
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
The physical symbol grounding problem
Cognitive Systems Research
| Hi-index | 0.00 |
In many domains, raw (sensory) data forms the input to a highly complex abstraction process that yields an abstract conceptualization of a domain, i.e. a semantic information model. Whilst these conceptual domain models are often subject to standardization, the underlying abstraction policies to create such models are invariably left proprietary for competitive differentiation. In this paper, we present a model for domain conceptualization, and show the impact of variation in model formation on the resulting interoperability of semantic information models in a system-of-systems context.