Integrated computer-aided project management through standard object-oriented models
Integrated computer-aided project management through standard object-oriented models
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
On the representation of roles in object-oriented and conceptual modelling
Data & Knowledge Engineering
Ontology-driven geographic information systems
Ontology-driven geographic information systems
Geointerpret: an ontological engineering methodology for automated interpretation of geospatial queries
An ontology-based knowledge management system for flow and water quality modeling
Advances in Engineering Software
Ontology of systems and software engineering
Advanced Engineering Informatics
Advanced Engineering Informatics
Ontologies of engineering knowledge: General structure and the case of software engineering
The Knowledge Engineering Review
Infrastructure development in the knowledge city
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Ontology based framework using a semantic web for addressing semantic reconciliation in construction
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Parametric feature constraint modeling and mapping in product development
Advanced Engineering Informatics
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Infrastructure managers rely on capabilities of Computer-Aided Design (CAD) and Geospatial Information Systems (GIS) for making decisions during the implementation of engineering tasks. However, despite the fact that there are domains in which both CAD and GIS are used and despite the overlaps between the data and operations they support, CAD and GIS have been developed independently over many years resulting in platforms that are not easily integrated. Engineers in infrastructure management must gain knowledge and skills in both CAD and GIS to perform infrastructure management tasks. In most cases, they need to manually transfer data queried from one system to another, due to the heterogeneous nature, such as data and operations heterogeneity, of CAD and GIS. Interoperability is seen as a solution to overcome the problems associated with heterogeneous environments and may occur at different levels and for different purposes. In this paper, we discuss the need for semantic interoperability between GIS and CAD and present an ontological engineering methodology as a possible means to enable this interoperability. This methodology uses ontological-based techniques for resolving the semantic differences in queries requiring CAD and GIS data and operations.