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Knowledge Cartography: Software tools and mapping techniques
Knowledge Cartography is the discipline of mapping intellectual landscapes.The focus of this book is on the process by which manually crafting interactive, hypertextual maps clarifies one’s own understanding, as well as communicating it.The authors see mapping software as a set of visual tools for reading and writing in a networked age. In an information ocean, the primary challenge is to find meaningful patterns around which we can weave plausible narratives. Maps of concepts, discussions and arguments make the connections between ideas tangible and disputable.
With 17 chapters from the leading researchers and practitioners, the reader will find the current state–of-the-art in the field. Part 1 focuses on educational applications in schools and universities, before Part 2 turns to applications in professional communitie
Introduction to the 26th International Conference on Logic Programming Special Issue
This is the preface to the 26th International Conference on Logic Programming
Special IssueComment: 6 page
Leading the Practice in Layered Enterprise Architecture
While Enterprise Architecture (EA) causes organisations to think,
work and model in domains, there are inadequacies in such a waterfall approach.
By restating domains as layers, i.e. LEAD (Layered Enterprise Architecture Design/
Development) based on the LEAD Enterprise Ontology, EA performs better
in enterprise layers and levels of abstraction. Through LEAD, the domain relationships
are also better captured, hence leading the advancement of agile EA
In defense of compilation: A response to Davis' form and content in model-based reasoning
In a recent paper entitled 'Form and Content in Model Based Reasoning', Randy Davis argues that model based reasoning research aimed at compiling task specific rules from underlying device models is mislabeled, misguided, and diversionary. Some of Davis' claims are examined and his basic conclusions are challenged about the value of compilation research to the model based reasoning community. In particular, Davis' claim is refuted that model based reasoning is exempt from the efficiency benefits provided by knowledge compilation techniques. In addition, several misconceptions are clarified about the role of representational form in compilation. It is concluded that techniques have the potential to make a substantial contribution to solving tractability problems in model based reasoning
Applying knowledge compilation techniques to model-based reasoning
Researchers in the area of knowledge compilation are developing general purpose techniques for improving the efficiency of knowledge-based systems. In this article, an attempt is made to define knowledge compilation, to characterize several classes of knowledge compilation techniques, and to illustrate how some of these techniques can be applied to improve the performance of model-based reasoning systems
Knowledge-based diagnosis for aerospace systems
The need for automated diagnosis in aerospace systems and the approach of using knowledge-based systems are examined. Research issues in knowledge-based diagnosis which are important for aerospace applications are treated along with a review of recent relevant research developments in Artificial Intelligence. The design and operation of some existing knowledge-based diagnosis systems are described. The systems described and compared include the LES expert system for liquid oxygen loading at NASA Kennedy Space Center, the FAITH diagnosis system developed at the Jet Propulsion Laboratory, the PES procedural expert system developed at SRI International, the CSRL approach developed at Ohio State University, the StarPlan system developed by Ford Aerospace, the IDM integrated diagnostic model, and the DRAPhys diagnostic system developed at NASA Langley Research Center
Semantic and logical foundations of global computing: Papers from the EU-FET global computing initiative (2001–2005)
Overvew of the contents of the volume "Semantic and logical foundations of global computing
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