Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
A relational model of data for large shared data banks
Communications of the ACM
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Simulation Modeling and Analysis
Simulation Modeling and Analysis
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
A Roadmap to Ontology Specification Languages
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
A Formal Ontology of Properties
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Verification and validation of simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
Discrete-Event Modeling and Simulation: A Practitioner's Approach
Discrete-Event Modeling and Simulation: A Practitioner's Approach
Developing High Quality Data Models
Developing High Quality Data Models
Analyzing object-oriented design patterns from an object-process viewpoint
NGITS'06 Proceedings of the 6th international conference on Next Generation Information Technologies and Systems
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Western philosophy of science has been heavily influenced by the idea that substantials are the main carriers of knowledge. Objects and their attributes and their relations to other objects dominate the world of knowledge representation. Processes play a subordinated role as they are merely seen as the things that create, change, or destroy objects. A recent study has shown that this view is dominant in modeling and simulation as well. The paper presents the (semi-) formal method developed in the doctoral study and its application to conceptual modeling techniques as they are taught in M&S education. The result shows that objects and relations are well captured, but that processes can be used as an alternative viewpoint as well. Using a process driven viewpoint opens new conceptual insights. We show that using the formal method allows to extend legacy conceptual methods to address these new aspects as well.