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On the Move to Meaningful Internet Systems. OTM 2018 Conferences

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Cover of 'On the Move to Meaningful Internet Systems. OTM 2018 Conferences'

Table of Contents

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    Book Overview
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    Chapter 1 Optimized Container-Based Process Execution in the Cloud
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    Chapter 2 ChIP : A Choreographic Integration Process
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    Chapter 3 PerceptRank: A Real-Time Learning to Rank Recommender System for Online Interactive Platforms
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    Chapter 4 Discovering Microservices in Enterprise Systems Using a Business Object Containment Heuristic
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    Chapter 5 Engineering a Highly Scalable Object-Aware Process Management Engine Using Distributed Microservices
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    Chapter 6 Applying Sequence Mining for Outlier Detection in Process Mining
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    Chapter 7 Transparent Execution of Data Transformations in Data-Aware Service Choreographies
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    Chapter 8 In the Search of Quality Influence on a Small Scale – Micro-influencers Discovery
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    Chapter 9 Execution of Multi-perspective Declarative Process Models
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    Chapter 10 Combining Model- and Example-Driven Classification to Detect Security Breaches in Activity-Unaware Logs
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    Chapter 11 CMMI-DEV v1.3 Reference Model in ArchiMate
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    Chapter 12 Data Analytics Challenges in Industry 4.0: A Case-Based Approach
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    Chapter 13 Speech Acts Featuring Decisions in Knowledge-Intensive Processes
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    Chapter 14 Latency-Aware Placement Heuristic in Fog Computing Environment
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    Chapter 15 Requirements for Legally Compliant Software Based on the GDPR
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    Chapter 16 A Review of Distributed Ledger Technologies
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    Chapter 17 A Complete Evaluation of the TAM3 Model for Cloud Computing Technology Acceptance
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    Chapter 18 Towards the Blockchain Technology for Ensuring the Integrity of Data Storage and Transmission
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    Chapter 19 A Taxonomy of Security as a Service
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    Chapter 20 Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks
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    Chapter 21 Generating Executable Mappings from RDF Data Cube Data Structure Definitions
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    Chapter 22 Optimization of Queries Based on Foundational Ontologies
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    Chapter 23 Semantically Enhanced Interoperability in Health Emergency Management
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    Chapter 24 Explanation of Action Plans Through Ontologies
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    Chapter 25 Rule Module Inheritance with Modification Restrictions
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    Chapter 26 Computing Exposition Coherence Across Learning Resources
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    Chapter 27 ST ype S: Nonrecursive Datalog Rewriter for Linear TGDs and Conjunctive Queries
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    Chapter 28 Knowledge Authoring for Rule-Based Reasoning
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    Chapter 29 On Generating Stories from Semantically Annotated Tourism-Related Content
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    Chapter 30 A Big Linked Data Toolkit for Social Media Analysis and Visualization Based on W3C Web Components
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    Chapter 31 Modeling Industrial Business Processes for Querying and Retrieving Using OWL+SWRL
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    Chapter 32 Understanding Information Professionals: A Survey on the Quality of Linked Data Sources for Digital Libraries
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    Chapter 33 Challenges in Value-Driven Data Governance
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    Chapter 34 Automatic Extraction of Data Governance Knowledge from Slack Chat Channels
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    Chapter 35 Factors of Efficient Semantic Web Application Development
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    Chapter 36 Evaluating a Faceted Search Index for Graph Data
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    Chapter 37 Object-Relational Rules for Medical Devices: Classification and Conformity
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    Chapter 38 Reducing the Cost of the Linear Growth Effect Using Adaptive Rules with Unlinking and Lazy Rule Evaluation
Overall attention for this book and its chapters
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Title
On the Move to Meaningful Internet Systems. OTM 2018 Conferences
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-02671-4
ISBNs
978-3-03-002670-7, 978-3-03-002671-4
Authors

Panetto, Hervé, Debruyne, Christophe, Proper, Henderik A., Ardagna, Claudio Agostino, Roman, Dumitru, Meersman, Robert

Editors

Panetto, Hervé, Debruyne, Christophe, Proper, Henderik A., Ardagna, Claudio Agostino, Roman, Dumitru, Meersman, Robert

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Student > Master 9 11%
Student > Doctoral Student 3 4%
Researcher 3 4%
Student > Postgraduate 3 4%
Other 7 8%
Unknown 48 56%
Readers by discipline Count As %
Computer Science 23 27%
Business, Management and Accounting 3 4%
Social Sciences 3 4%
Engineering 3 4%
Agricultural and Biological Sciences 1 1%
Other 4 5%
Unknown 48 56%