Knowledge Engineering and Knowledge Management 1st edition by Maria Keet 9783030612436 3030612430
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ISBN 10:3030612430
ISBN 13:9783030612436
Author:Maria Keet
This book constitutes the refereed proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2020, held in Bolzano, Italy, in September 2020. The 12 full papers presented together with 7 were carefully reviewed and selected from 104 submissions. The special theme of EKAW 2020 is „Ethical and Trustworthy Knowledge Engineering”. The papers cover all aspects of eliciting, acquiring, discovering, modeling, and managing knowledge and construction of knowledge-intensive systems.
Knowledge Engineering and Knowledge Management 1st Table of contents:
A Comparison of the Cognitive Difficulties Posed by SPARQL Query Constructs
What to Do When the Users of an Ontology Merging System Want the Impossible? Towards Determining Compatibility of Generic Merge Requirements
Capturing and Querying Uncertainty in RDF Stream Processing
Effective Use of Personal Health Records to Support Emergency Services
Analysis of Term Reuse, Term Overlap and Extracted Mappings Across AgroPortal Semantic Resources
Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping
A Unified Nanopublication Model for Effective and User-Friendly Access to the Elements of Scientific Publishing
Concept Extraction Using Pointer–Generator Networks and Distant Supervision for Data Augmentation
Entity-Based Short Text Classification Using Convolutional Neural Networks
What2Cite: Unveiling Topics and Citations Dependencies for Scientific Literature Exploration and Recommendation
Mining Latent Features of Knowledge Graphs for Predicting Missing Relations
Comp-O: An OWL-S Extension for Composite Service Description
Perceptron Connectives in Knowledge Representation
On the Formal Representation and Annotation of Cellular Genealogies
Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph Interlinks
In Use Papers
ResearchFlow: Understanding the Knowledge Flow Between Academia and Industry
A Knowledge Graph Enhanced Learner Model to Predict Outcomes to Questions in the Medical Field
Position Papers
Coming to Terms with FAIR Ontologies
Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs
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Maria Keet,Knowledge,Management,Knowledge,Engineering
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