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Showing results for "Information And Knowledge"
Information Ecology. Mastering The Information and Knowledge Environment
Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. First Edition (Advanced Information and Knowledge Processing)
Fundamentals of Metadata Management: Uncover the Meta Grid and Unlock IT, Data, Information, and Knowledge Management
Communities of Practice: Fostering Peer-to-Peer Learning and Informal Knowledge Sharing in the Work Place (Information Science and Knowledge Management, 13)
Mathematical Linguistics (Advanced Information and Knowledge Processing)
The Information and Knowledge Professional's Career Handbook: Define and Create Your Success (Chandos Information Professional Series)
The Book of Unusual Knowledge: Big Book of Fascinating Facts & Information | Hardcover Gift for Trivia Buffs, Curious Minds, Adults, Dad & Knowledge Seekers
Foundations of the Information and Knowledge Professions
Information Behavior: An Evolutionary Instinct (Information Science and Knowledge Management, 16)
Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing)
Machine Learning and Data Mining for Computer Security: Methods and Applications (Advanced Information and Knowledge Processing)
Graph-based Knowledge Representation (Advanced Information and Knowledge Processing)
Business Intelligence and Performance Management: Theory, Systems and Industrial Applications (Advanced Information and Knowledge Processing)
Artificial Intelligence and Economic Theory: Skynet in the Market (Advanced Information and Knowledge Processing)
Knowledge and Power: The Information Theory of Capitalism and How it is Revolutionizing our World
The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies
Meta-Programming and Model-Driven Meta-Program Development: Principles, Processes and Techniques (Advanced Information and Knowledge Processing)
Wittgenstein, Language and Information: "Back to the Rough Ground!" (Information Science and Knowledge Management, 10)
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