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Library & Information Science

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The increasing volume of information in the contemporary world entails demand for efficient knowledge management (KM) systems; a logical method of information organization that will allow proper semantic querying to identify things that match meaning in natural language. On this concept, the role of an information manager goes beyond implementing a search and clustering system, to the ability to map and logically present the subject domain and related cross domains. <EM>From Knowledge Abstraction to Management</EM> answers this need by analysing ontology tools and techniques, helping the reader develop a conceptual framework from the digital library perspective. Beginning with the concept of knowledge abstraction, before discussing the Solecistic versus the Semantic Web, the book goes on to consider knowledge organisation, the development of conceptual frameworks, untying conceptual tangles, and the concept of faceted knowledge representation.

From Knowledge Abstraction to Management

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FROM KNOWLEDGE ABSTRACTION TO MANAGEMENT

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Front Cover.
Half Title Page.
Other Frontmatter.
Title Page.
Copyright Page.
Contents.
List of Figures and Tables.
List of Abbreviations.
About the Author.
1: Introduction: Knowledge Abstraction: Problems and Context-Based Solution.
2: Non-Semantic vs. Semantic Web: The Architecture and Tools.
3: Knowledge Organization: Its Role Within the Unfathomed Space.
4: Developing Conceptual Frameworks: Evolution and Architecture.
5: Unified Modeling Language: Untying the Tangles.
6: Faceted Knowledge Representation: Putting the Leash around Unleashed Knowledge.
7: Designing the Framework: Ready &#x2026; Get Set &#x2026; Go!!.
8: Conclusion.
Bibliography.
Index.

From Knowledge Abstraction to Management.css-1p8rvzy{position:absolute;padding-left:8px;}

From Knowledge Abstraction to Management