Knowledge Engineering and Knowledge Management 21st International Conference EKAW 2018 Nancy France November 12 16 2018 Proceedings 1st edition by Catherine Faron Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussaint 3030036676 9783030036676

Knowledge Engineering and Knowledge Management 21st International Conference EKAW 2018 Nancy France November 12 16 2018 Proceedings 1st edition by Catherine Faron Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussaint  – Ebook PDF Instant Download/DeliveryISBN: 3030036676, 9783030036676

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ISBN-10 :  3030036676 

ISBN-13 :  9783030036676

Author:  Catherine Faron Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussaint 

This book constitutes the refereed proceedings of the 21th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2018, held in Nancy, France, in November 2018. The 36 full papers presented were carefully reviewed and selected from 104 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on “Knowledge and AI”, i.e. papers describing algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques, with a special emphasis on knowledge discovery.

Knowledge Engineering and Knowledge Management 21st International Conference EKAW 2018 Nancy France November 12 16 2018 Proceedings 1st Table of contents:

1. An Empirical Evaluation of RDF Graph Partitioning Techniques
2. Fuzzy Semantic Labeling of Semi-structured Numerical Datasets
3. From Georeferenced Data to Socio-Spatial Knowledge. Ontology Design Patterns to Discover Domain-Specific Knowledge from Crowdsourced Data
4. Conceptual Schema Transformation in Ontology-Based Data Access
5. SWRL Reasoning Using Decision Tables
6. A Framework for Explaining Query Answers in DL-Lite
7. DLFoil: Class Expression Learning Revisited
8. Requirements Behaviour Analysis for Ontology Testing
9. Interactive Interpretation of Serial Episodes: Experiments in Musical Analysis
10. Network Metrics for Assessing the Quality of Entity Resolution Between Multiple Datasets
11. Making Sense of Numerical Data – Semantic Labelling of Web Tables
12. Towards Enriching DBpedia from Vertical Enumerative Structures Using a Distant Learning Approach
13. The Utility of the Abstract Relational Model and Attribute Paths in SQL
14. Support and Centrality: Learning Weights for Knowledge Graph Embedding Models
15. OmniScience and Extensions – Lessons Learned from Designing a Multi-domain, Multi-use Case Knowledge Representation System
16. A Semantic Use Case Simulation Framework for Training Machine Learning Algorithms
17. KnIGHT: Mapping Privacy Policies to GDPR
18. Automating Class/Instance Representational Choices in Knowledge Bases
19. Comparative Preferences in SPARQL
20. Interplay of Game Incentives, Player Profiles and Task Difficulty in Games with a Purpose
21. Inferring Types on Large Datasets Applying Ontology Class Hierarchy Classifiers: The DBpedia Case
22. A Framework for Tackling Myopia in Concept Learning on the Web of Data
23. Boosting Holistic Ontology Matching: Generating Graph Clique-Based Relaxed Reference Alignments for Holistic Evaluation
24. Prominence and Dominance in Networks
25. Deploying Spatial-Stream Query Answering in C-ITS Scenarios
26. Metaproperty-Guided Deletion from the Instance-Level of a Knowledge Base
27. On Extracting Relations Using Distributional Semantics and a Tree Generalization
28. A Query Model for Ontology-Based Event Processing over RDF Streams
29. A Random Walk Model for Entity Relatedness
30. Slicing and Dicing a Newspaper Corpus for Historical Ecology Research
31. Using SPARQL – The Practitioners’ Viewpoint
32. In-Use Papers
33. Combining Machine Learning and Semantics for Anomaly Detection
34. EROSO: Semantic Technologies Towards Thermal Comfort in Workplaces
35. Divided We Stand Out! Forging Cohorts fOr Numeric Outlier Detection in Large Scale Knowledge Graphs (CONOD)
36. Decision Support Models to Assist in the Diagnosis of Meningitis
37. Position Papers

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