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Knowledge Engineering and Knowledge Management

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Cover of 'Knowledge Engineering and Knowledge Management'

Table of Contents

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    Book Overview
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    Chapter 1 A Comparison of the Cognitive Difficulties Posed by SPARQL Query Constructs
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    Chapter 2 What to Do When the Users of an Ontology Merging System Want the Impossible? Towards Determining Compatibility of Generic Merge Requirements
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    Chapter 3 Capturing and Querying Uncertainty in RDF Stream Processing
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    Chapter 4 Effective Use of Personal Health Records to Support Emergency Services
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    Chapter 5 Analysis of Term Reuse, Term Overlap and Extracted Mappings Across AgroPortal Semantic Resources
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    Chapter 6 Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping
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    Chapter 7 A Unified Nanopublication Model for Effective and User-Friendly Access to the Elements of Scientific Publishing
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    Chapter 8 Concept Extraction Using Pointer–Generator Networks and Distant Supervision for Data Augmentation
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    Chapter 9 Entity-Based Short Text Classification Using Convolutional Neural Networks
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    Chapter 10 What2Cite : Unveiling Topics and Citations Dependencies for Scientific Literature Exploration and Recommendation
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    Chapter 11 Mining Latent Features of Knowledge Graphs for Predicting Missing Relations
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    Chapter 12 Comp-O: An OWL-S Extension for Composite Service Description
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    Chapter 13 Perceptron Connectives in Knowledge Representation
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    Chapter 14 On the Formal Representation and Annotation of Cellular Genealogies
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    Chapter 15 Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph Interlinks
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    Chapter 16 ResearchFlow: Understanding the Knowledge Flow Between Academia and Industry
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    Chapter 17 A Knowledge Graph Enhanced Learner Model to Predict Outcomes to Questions in the Medical Field
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    Chapter 18 Coming to Terms with FAIR Ontologies
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    Chapter 19 Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs
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Title
Knowledge Engineering and Knowledge Management
Published by
Springer International Publishing, December 2020
DOI 10.1007/978-3-030-61244-3
ISBNs
978-3-03-061243-6, 978-3-03-061244-3
Editors

Keet, C. Maria, Dumontier, Michel

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