A Future for Knowledge Acquisition, Luc Steels; Guus Schreiber; Walter Van de Velde
Автор: Hanning Yuan; Jing Geng; Fuling Bian Название: Geo-Spatial Knowledge and Intelligence ISBN: 9811039658 ISBN-13(EAN): 9789811039652 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The two volume proceedings of CCIS 698 and 699 constitutes revised selected papers from the 4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016, held in Hong Kong, China, in November 2016.
Автор: Hanning Yuan; Jing Geng; Fuling Bian Название: Geo-Spatial Knowledge and Intelligence ISBN: 9811039682 ISBN-13(EAN): 9789811039683 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The two volume proceedings of CCIS 698 and 699 constitutes revised selected papers from the 4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016, held in Hong Kong, China, in November 2016.
Автор: Nigel Shadbolt; Kieron O`Hara; Guus Schreiber Название: Advances in Knowledge Acquisition ISBN: 3540612734 ISBN-13(EAN): 9783540612735 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents the proceedings of the 9th European Knowledge Acquisition Workshop. The 23 revised full papers included address theoretical and applicational aspects of knowledge acquisition with a certain emphasis on the modelling or automation of complex problem-solving behaviour.
Автор: Dieter Fensel Название: The Knowledge Acquisition and Representation Language, KARL ISBN: 0792396014 ISBN-13(EAN): 9780792396017 Издательство: Springer Рейтинг: Цена: 25848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "The Knowledge Acquisition and Representation Language KARL" is a formal and operational specification language for knowledge-based systems and second-generation expert systems. The main features of KARL are: it provides epistemologically adequate modelling primitives that allow knowledge specifications at the knowledge level.
Автор: Rudi Studer Название: Knowledge Acquisition, Modeling and Management ISBN: 3540660445 ISBN-13(EAN): 9783540660446 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These papers address issues of knowledge acquisition - the process of extracting, creating and structuring knowledge - as well as knowledge level modelling for knowledge-based systems, and of applying and redefining this work in a knowledge-management and knowledge-engineering context.
Автор: Nicholas Ross Milton Название: Knowledge Acquisition in Practice ISBN: 1849966613 ISBN-13(EAN): 9781849966610 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to provide a step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its conclusion. In addition, each step has a checklist which tracks the key items that should be achieved.
Автор: Sandra Marcus Название: Automating Knowledge Acquisition for Expert Systems ISBN: 1468471244 ISBN-13(EAN): 9781468471243 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems.
Описание: A special year like 1999 invites one to draw a balance of what has been achieved in the roughly 30 years of research and development in knowledge based systems (still abbreviated as XPS following the older term "expert systems") and to take a look at th what the future may hold. For the 5 German conference on knowledge-based systems we therefore asked current and former speakers of the four working groups (FG's) in the subdivision of knowledge-based systems (FA 1.5) of the German association of Informatics (GI) to present a survey of and future prospects for their respective fields: knowledge engineering, diagnosis, configuration, and case-based reasoning. An additional 14 technical papers deal with current topics in knowledge-based systems with an equal emphasis on methods and applications. They are selected from more than 50 papers accepted in the 4 parallel workshops of XPS-99: a) Knowledge Management, Organizational Memory and Reuse, b) various fields of applications, c) the traditional PuK Workshop (planning and configuration), and d) the GWCBR (German workshop on case-based reasoning). The other papers presented at these workshops are not included in this volume but are available as internal reports of W rzburg university together with the exhibition guide that emphasizing tool support for building knowledge based systems.
Автор: Jes?s A. L?pez; Emilio Benfenati; Werner Dubitzky Название: Knowledge Exploration in Life Science Informatics ISBN: 3540239278 ISBN-13(EAN): 9783540239277 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume of the Springer Lecture Notes in Computer Science series contains the contributions presented at the International Symposium on Knowledge Exploration in Life Science Informatics (KELSI 2004) held in Milan, Italy, 25-26 November 2004. The two main objectives of the symposium were: - To explore the symbiosis between information and knowledge technologies and v- ious life science disciplines, such as biochemistry, biology, neuroscience, medical research, social sciences, and so on. - To investigate the synergy among different life science informatics areas, including cheminformatics, bioinformatics, neuroinformatics, medical informatics, systems - ology, socionics, and others. Modern life sciences investigate phenomena and systems at the level of molecules, cells, tissues, organisms, and populations. Typical areas of interest include natural e- lution, development, disease, behavior, cognition, and consciousness.This quest is g- eratinganoverwhelmingandfast-growingamountofdata, information, andknowledge, re?ecting living systems at different levels of organization. Future progress of the life sciences will depend on effective and ef?cient management, sharing, and exploitation of these resources by computational means.
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