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. From Knowledge Abstraction to Management 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.
Rezensionen / Stimmen
"It represents the results of research aimed at designing a template with generic guidelines and has the potential to be used to develop digital library models for any subject using the analytico-faceted approach."--Online Information Review, From Knowledge Abstraction to Management
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
All those involved in LIS, knowledge and content management, digital communication, internet and media.
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-84334-703-3 (9781843347033)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Aparajita Suman is Senior Advisor, Knowledge Management, with FHI 360, Improving Healthy Behaviors Project, India. With expertise in planning, setting up and managing specialized communication and information services, she has wide experience of helping organizations use knowledge and communication to achieve their goals. With over a decade of experience, Aparajita has built strong KM and communications systems using a combination of people, processes and technology in the private, national and international, government institutional, and UN sector. Aparajita teaches on courses, presents papers and conducts training programs in the areas of KM, Communications and Intellectual Property Rights, all with a passion to teach. She speaks at numerous conferences and associations.
Autor*in
Improving Healthy Behaviors Program FHI 360, India
List of figures and tables
Figures
Tables
List of abbreviations
About the author
1. Introduction: knowledge abstraction: problems and context-based solution
Abstract:
Background
Knowledge organization: problems and context-based solution
An approach to bring hope
References
2. Non-semantic vs. Semantic Web: the architecture and tools
Abstract:
Background
The Semantic Web
Components of the Semantic Web
Architecture of the Semantic Web: work behind the screen
Challenges of Semantic Web implementation
Semantic Web technologies
Conclusion
References
3. Knowledge organization: its role within the unfathomed space
Abstract:
Background
Knowledge organization and digital context
Knowledge organization: major landmarks
Landmarks in semantic knowledge organization
Limitations of existing approaches of knowledge organization
Tim Berners-Lee's vision of the Semantic Web
Making the right choice
Conclusion
References
4. Developing conceptual frameworks: evolution and architecture
Abstract:
Background
Evolution of frameworks
Purpose of frameworks
Components of a framework
Difference from contemporary technologies
Types of frameworks
Examples of significant frameworks
References
5. Unified Modeling Language: untying the tangles
Abstract:
Background
Conceptual (un)clarity on the web
UML for ontologies in the Semantic Web
The metamodeling approach
Conclusion
References
6. Faceted knowledge representation: putting the leash around unleashed knowledge
Abstract:
Background
Facets: computer science vis-a-vis library science
Facetization and facet analysis
Some examples of facet-based tools and technologies
Conclusion
References
7. Designing the framework: ready ... get set ... go!!
Abstract:
Background
Semantic search and retrieval
Semantic search and retrieval using the framework
S. R. Ranganathan's faceted approach for knowledge organization
Knowledge framework and instances
Development of a sample model using the conceptual framework
Conclusion
References
8. Conclusion
Abstract:
The conceptual framework
Mechanism to evaluate completeness of the newly developed model
Limitations
Distinct advantages of the framework in information retrieval
Further developments: design of domain-specific models from the framework
References
Bibliography
Index
