Knowledge acquisition as modeling
Knowledge acquisition as modeling
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies
Expertise in context: human and machine
Expertise in context: human and machine
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Information, Systems and Information Systems: Making Sense of the Field
Information, Systems and Information Systems: Making Sense of the Field
What's in an Electronic Business Model?
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Value Webs: Using Ontologies to Bundle Real-World Services
IEEE Intelligent Systems
Ontology based object-oriented domain modelling: fundamental concepts
Requirements Engineering
Towards a new synthesis of ontology technology and knowledge management
The Knowledge Engineering Review
Requirements engineering paper classification and evaluation criteria: a proposal and a discussion
Requirements Engineering
e-Service Design Using i* and e3value Modeling
IEEE Software
What is This Science Called Requirements Engineering?
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
Thinking about Android Epistemology (AAAI Press Copublications)
Thinking about Android Epistemology (AAAI Press Copublications)
Applied Ontology: Focusing on content
Applied Ontology
Design science in information systems research
MIS Quarterly
The Business of Ontology calls for a Formal Pragmatics
Proceedings of the 2008 conference on Formal Ontologies Meet Industry
Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008)
Decision-making ontology for information system engineering
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Multi-agent oriented integration in distributed control system
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Is (web) science ready for empowerment?
Proceedings of the 3rd International Web Science Conference
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The call for a “focus on content” in ontology research by Nicola Guarino and Mark Musen in their launching statement of the journal Applied Ontology has quite some implications and ramifications. We reflectively discuss ontology engineering as a scientific discipline, and we put this into the wider perspective of debates in other fields. We claim and argue that ontology is a new scientific method for theory formation. This positioning allows for stronger concepts and techniques for theoretical, empirical and practical validation that in our view are now needed in the field. A prerequisite for this is an emphasis on ontology as a (domain) content oriented concept, rather than as primarily a computer representation notion. We propose that taking domain theories and the associated substantive or content reference of ontologies really seriously as first-class citizens, will actually increase the contribution of ontology engineering to the development of scientific method in general. Next, ontologies should develop from the current static representations of relatively stable domain content into actionable theories-in-use, and a possible way forward is to build in capabilities for dynamic self-organization of ontologies as service-oriented knowledge utilities that can be delivered over the Web.