The Unified Modeling Language user guide
The Unified Modeling Language user guide
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
The Rational Unified Process: An Introduction, Second Edition
The Rational Unified Process: An Introduction, Second Edition
Intelligent Data Analysis: An Introduction
Intelligent Data Analysis: An Introduction
Using heuristics to evaluate the playability of games
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Computer
Co-Protégé: Collaborative Ontology Building with Divergences
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Rules of Play: Game Design Fundamentals
Rules of Play: Game Design Fundamentals
Collaborative Modeling - A Design Science Approach
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Design science in information systems research
MIS Quarterly
Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management
Information Resources Management Journal
A dialogue game prototype for FCO-IM
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
Collaborative Usage and Development of Models: State of the Art, Challenges and Opportunities
International Journal of e-Collaboration
From Dialogue Games to m-ThinkLets: Overview and Synthesis of a Collaborative Modeling Approach
International Journal of e-Collaboration
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Many model-based methods in AI require formal representation of knowledge as input. For the acquisition of highly structured, domain-specific knowledge, machine learning techniques still fall short, and knowledge elicitation and modelling is then the standard. However, obtaining formal models from informants who have few or no formal skills is a non-trivial aspect of knowledge acquisition, which can be viewed as an instance of the well-known "knowledge acquisition bottleneck". Based on the authors' work in conceptual modelling and method engineering, this paper casts methods for knowledge modelling in the framework of games. The resulting games-for-modelling approach is illustrated by a first prototype of such a game. The authors' long-term goal is to lower the threshold for formal knowledge acquisition and modelling.