Conceptual models are descriptions of our ideas about a problem, used to shape the implementation of a solution to it. Everyone who builds complex information systems uses such models - be they requirements analysts, knowledge modellers or software designers - but understanding of the pragmatics of model design tends to be informal and parochial. Lightweight uses of logic can add precision without destroying the intuitions we use to interpret our descriptions. Computing with logic allows us to make use of this precision in providing automated support tools. Modern information scientists need to know what these methods are for and may need to build their own. This book gives you a place to begin. 
Where do you start when building models in a precise language like logic? One way is by following standard paradigms for design and adapting these to your needs. Some of these come from an analysis of existing informal notations. Others are from within logic itself. We take you through a sample of these, from more commonplace styles of formal modelling to non-standard methods such as techniques editing and argumentation. Each of these provides a window onto broader areas of applied logic and gives you a basis for adapting the method to your own needs. 
Features: 
- Associated web site with detailed supplementary material and links. - Numerous examples from different methodological disciplines. - End of chapter exercises to aid understanding. - Navigational icons in the margins to help guide the reader through the material.

Software Blueprints: Lightweight Uses of Logic in Conceptual Modelling

Computers & Technology

Robertson, David

Agusti I Cullell, Jaume

Computer Science

Addison-Wesley

Knowledge management has become an important topic for the theory and practice of organisation management. Knowledge Coordination argues that coordination is a key factor for managing knowledge within organisations. By offering a clearcut conceptualisation of knowledge, it fills an important gap in the literature on knowledge management. Based on the authors' rational reconstruction of knowledge coordination for knowledge management, this text identifies techniques and conceptual tools to build systemic solutions to improve on corporate operational efficacy. Contrasts business strategies, and presents and discusses the tools to implement management systems based on each of the different strategies. Among these tools, the authors discuss ontological engineering, communities of practice and an original conceptual tool called Structure of Capability Providers. Covers topics including:  Intelligent Agents for Knowledge Modelling Artificial Intelligence Ontologies Managing Capabilities Assessing Knowledge Coordination  It will be highly popular with academic and industrial researchers who need to understand the current thinking in research of knowledge management. In addition it is aimed at senior undergraduate and postgraduate students in computer science and Information Technology and in particular researchers in knowledge engineering, artificial intelligence and agent based systems. Management and business professionals and those dealing with IT systems design and implementation will also find it useful.

Knowledge Coordination

Silva, Flavio Soares Correa Da

Da Silva, Flavio Soares Correa

Networking & Cloud Computing

John Wiley&Sons, Inc.

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