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Knowledge Discovery, Knowledge Engineering and Knowledge Management

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Cover of 'Knowledge Discovery, Knowledge Engineering and Knowledge Management'

Table of Contents

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    Book Overview
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    Chapter 1 Accelerating Scientists’ Knowledge Turns
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    Chapter 2 Mining Graphs of Prescribed Connectivity
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    Chapter 3 Concept Discovery and Automatic Semantic Annotation for Language Understanding in an Information-Query Dialogue System Using Latent Dirichlet Allocation and Segmental Methods
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    Chapter 4 Spectral Clustering: An Explorative Study of Proximity Measures
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    Chapter 5 Comparing the Macroeconomic Responses of US and Japan through Time Series Segmentation
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    Chapter 6 A Block Coclustering Model for Pattern Discovering in Users’ Preference Data
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    Chapter 7 Learning Attack Features from Static and Dynamic Analysis of Malware
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    Chapter 8 Improving Text Retrieval Accuracy by Using a Minimal Relevance Feedback
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    Chapter 9 Using Distant Supervision for Extracting Relations on a Large Scale
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    Chapter 10 Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content
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    Chapter 11 A Fast Method for Web Template Extraction via a Multi-sequence Alignment Approach
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    Chapter 12 TermWatch II: Unsupervised Terminology Graph Extraction and Decomposition
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    Chapter 13 Learning to Classify Text Using a Few Labeled Examples
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    Chapter 14 A System to Support Legal Case Building and Reasoning
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    Chapter 15 Different Approaches to Build Brief Ontologies
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    Chapter 16 Graph-Based Semi-supervised Clustering for Semantic Classification of Unknown Words
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    Chapter 17 Ontology Engineering for the Autonomous Systems Domain
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    Chapter 18 Cloud Services Composition Support by Using Semantic Annotation and Linked Data
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    Chapter 19 Enterprise Architecture Executable Patterns: Enterprise Architecture – Replacing Models with Executable Patterns
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    Chapter 20 Identifying Services from a Service Provider and Customer Perspectives
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    Chapter 21 Metropolitan Ecosystems among Heterogeneous Cognitive Networks: Issues, Solutions and Challenges
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    Chapter 22 Code Quality Cultivation
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    Chapter 23 Misbehavior Discovery through Unified Software-Knowledge Models
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    Chapter 24 Structured Knowledge: An Universal Indexing System Approach
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    Chapter 25 The Role of External Information Awareness and Proactiveness of Innovation Strategy in Employees’ Innovation Behavior: A Psychological Perspective
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    Chapter 26 Determining the Collaboration Maturity of Organizational Teams: A Study in the Automotive Industry
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    Chapter 27 Open Source Tools for Enterprise 2.0: A Feature-Based Adaptable Analysis
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    Chapter 28 Assessing the Impact of In-government Cooperation Dynamics: A Simluation-Based Systems Inquiry
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    Chapter 29 Using Work Context and Levels of Expertise to Foster Person-to-Person Knowledge Exchange: A Concept for Connecting Knowledge Workers Based on (Socio-) Psychological Theories
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    Chapter 30 Thinking Out of the Box: Discovering the Relevance of External Context to Business Processes
Attention for Chapter 27: Open Source Tools for Enterprise 2.0: A Feature-Based Adaptable Analysis
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Citations

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Chapter title
Open Source Tools for Enterprise 2.0: A Feature-Based Adaptable Analysis
Chapter number 27
Book title
Knowledge Discovery, Knowledge Engineering and Knowledge Management
Published by
Springer, Berlin, Heidelberg, October 2011
DOI 10.1007/978-3-642-37186-8_27
Book ISBNs
978-3-64-237185-1, 978-3-64-237186-8
Authors

Bettina Schauer, Michael Zeiller, Robert Matzinger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Lecturer > Senior Lecturer 1 9%
Student > Doctoral Student 1 9%
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Other 2 18%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 5 45%
Engineering 2 18%
Social Sciences 1 9%
Business, Management and Accounting 1 9%
Unknown 2 18%