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Networked Knowledge - Networked Media

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Cover of 'Networked Knowledge - Networked Media'

Table of Contents

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    Book Overview
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    Chapter 1 Networked Knowledge - Networked Media: - Bringing the Pieces Together
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    Chapter 2 RDF Support in the Virtuoso DBMS
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    Chapter 3 Semantic Task Management Framework: Bridging Information and Work
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    Chapter 4 AUTOMS-F: A Framework for the Synthesis of Ontology Mapping Methods
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    Chapter 5 Developing Semantic Web Applications with the OntoWiki Framework
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    Chapter 6 Conceptual Foundations for a Service-oriented Knowledge and Learning Architecture: Supporting Content, Process and Ontology Maturing
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    Chapter 7 ARS/SD: An Associative Retrieval Service for the Semantic Desktop
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    Chapter 8 GRISINO – A Semantic Web Services, Grid Computing and Intelligent Objects Integrated Infrastructure
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    Chapter 9 Collaborative Web-Publishing with a Semantic Wiki
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    Chapter 10 Collaborative Wiki Tagging
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    Chapter 11 O’CoP, an Ontology Dedicated to Communities of Practice
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    Chapter 12 Incremental Approach to Error Explanations in Ontologies
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    Chapter 13 Using Ontologies Providing Domain Knowledge for Data Quality Management
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    Chapter 14 Semantic Search and Visualization of Time-Series Data
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    Chapter 15 An Evaluation Framework and Adaptive Architecture for Automated Sentiment Detection
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    Chapter 16 Managing Ontology Lifecycles in Corporate Settings
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    Chapter 17 A Semantic Policy Management Environment for End-Users and Its Empirical Study
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    Chapter 18 User-Driven Semantic Wiki-Based Business Service Description
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    Chapter 19 Facilitating Knowledge Management in Pervasive Health Care Systems
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    Chapter 20 Integrating Semantic Technologies with Interactive Digital TV
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    Chapter 21 Marrying Game Development with Knowledge Management: Challenges and Potentials
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Networked Knowledge - Networked Media
Published by
Springer Berlin Heidelberg, January 2009
DOI 10.1007/978-3-642-02184-8
978-3-64-202183-1, 978-3-64-202184-8

Tassilo Pellegrini, Sóren Auer, Klaus Tochtermann, Sebastian Schaffert

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
Luxembourg 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Bachelor 4 20%
Student > Master 4 20%
Researcher 2 10%
Other 1 5%
Other 3 15%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 13 65%
Engineering 2 10%
Nursing and Health Professions 1 5%
Social Sciences 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 2 10%