Spatio-temporal conceptual models: data structures + space + time
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
Workshop on multi-dimensional separation of concerns in software engineering (workshop session)
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The spatial semantic hierarchy
Artificial Intelligence
On the criteria to be used in decomposing systems into modules
Communications of the ACM
Fundamentals of Software Engineering
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Relation algebras over containers and surfaces: An ontological study of a room space
Spatial Cognition and Computation
Software Architecture in Practice
Software Architecture in Practice
Artificial Intelligence Review
Literature review of spatio-temporal database models
The Knowledge Engineering Review
Analyzing theme, space, and time: an ontology-based approach
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Modelling models of robot navigation using formal spatial ontology
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
How to localize domain entities: the case of a flooding prediction and risk management system
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Architectural abstractions for space and time awareness: the case of responsive environments
Proceedings of the Fourth European Conference on Software Architecture: Companion Volume
Grounding ecologies on multiple spaces
Pervasive and Mobile Computing
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The success of a software system strongly depends on the ability of turning a precise domain analysis into a concrete architecture. Even if the domain model relies on sound ontological bases, there is often a wide semantic gap between the conceptual model and the concrete components that should reify it. To fill the semantic gap, relevant domain concepts should be engineered by identifying the corresponding architectural abstractions, which can be realized by concrete software components. Space plays a crucial role in many application domains, but surprisingly, related architectural abstractions have not emerged yet. This paper proposes space-related abstractions derived from the application of classical software engineering principles; in particular, the information hiding principle that leads to an operational definition of space. Basic abstractions are refined to deal with architectural aspects. As the underlying software engineering principles are close to principles that underlie the definition of space ontologies, the conjecture is that the proposed space architectural abstractions might be the basis for a formalization in ontological terms.