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Leveraging the Semantics of Topic Maps

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Cover of 'Leveraging the Semantics of Topic Maps'

Table of Contents

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    Book Overview
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    Chapter 1 Flat Topic Mapping for a Flat World
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    Chapter 2 On Topic Map Templates and Traceability
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    Chapter 3 Towards a Methodology for Developing Topic Maps Ontologies
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    Chapter 4 TopiMaker - An Implementation of a Novel Topic Maps Visualization
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    Chapter 5 Visual Browsing and Editing of Topic Map-Based Learning Repositories
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    Chapter 6 Documentation for Aircraft Maintenance Based on Topic Maps
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    Chapter 7 From Biological Data to Biological Knowledge
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    Chapter 8 Remote Topic Maps in Learning
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    Chapter 9 Design and Users’ Evaluation of a Topic Maps-Based Korean Folk Music Retrieval System
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    Chapter 10 Towards a Formal TMQL Semantics
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    Chapter 11 Toma - TMQL, TMCL, TMML
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    Chapter 12 Indices, Meaning and Topic Maps: Some Observations
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    Chapter 13 Leveraging the Semantics of Topic Maps
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    Chapter 14 The Essentials of the Topic Maps Reference Model (TMRM)
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    Chapter 15 Towards Converting the Internet into Topic Maps
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    Chapter 16 Topic Map Objects
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    Chapter 17 Topincs - A RESTful Web Service Interface for Topic Maps
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    Chapter 18 TopiWriter - Integrating Topic Maps with Word Processor
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    Chapter 19 Synchronizing Topic Maps with External Sources
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    Chapter 20 Tagomizer: Subject Maps Meet Social Bookmarking
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    Chapter 21 Semantic-Augmented Support in Spatial-Temporal Multimedia Blog Management
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    Chapter 22 Topic Maps-Based Semblogging with semblog-tm
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    Chapter 23 Report from the Open Space and Poster Sessions
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Title
Leveraging the Semantics of Topic Maps
Published by
Springer Berlin Heidelberg, September 2007
DOI 10.1007/978-3-540-71945-8
ISBNs
978-3-54-071944-1, 978-3-54-071945-8
Editors

Maicher, Lutz, Sigel, Alexander, Garshol, Lars Marius

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Master 2 25%
Professor 1 13%
Other 1 13%
Student > Doctoral Student 1 13%
Other 1 13%
Readers by discipline Count As %
Computer Science 7 88%
Social Sciences 1 13%