ADBIS TPDL and EDA 2020 Common Workshops and Doctoral Consortium International Workshops DOING MADEISD SKG BBIGAP SIMPDA AIMinScience 2020 and Doctoral Consortium Lyon France August 25 27 2020 Proceedings Ladjel Bellatreche

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Product details:

• ASIN ‏ : ‎ B08G49FYK1
• Author:  Ladjel Bellatreche (Editor), Mária Bieliková (Editor), Omar Boussaïd (Editor), Barbara Catania (Editor), Jérôme Darmont (Editor), Elena Demidova (Editor), Fabien Duchateau (Editor), Mark Hall (Editor), Tanja Merčun (Editor), Christos Papatheodorou (Editor), Thomas Risse (Editor), Oscar Romero (Editor), Lucile Sautot (Editor), Guilaine Talens (Editor), Robert Wrembel (Editor), Maja Žumer (Editor) 

This book constitutes thoroughly reviewed and selected papers presented at Workshops and Doctoral Consortium of the 24th East-European Conference on Advances in Databases and Information Systems, ADBIS 2020, the 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, and the 16th Workshop on Business Intelligence and Big Data, EDA 2020, held in August 2020. Due to the COVID-19 the joint conference and satellite events were held online.

The 26 full papers and 5 short papers were carefully reviewed and selected from 56 submissions. This volume presents the papers that have been accepted for the following satellite events: Workshop on Intelligent Data – From Data to Knowledge, DOING 2020; Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2020; Workshop on Scientic Knowledge Graphs, SKG 2020; Workshop of BI & Big Data Applications, BBIGAP 2020; International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2020; International Workshop on Assessing Impact and Merit in Science, AIMinScience 2020; Doctoral Consortium.

Table of contents:

1. ADBIS, TPDL and EDA 2020 Common Workshops
2. Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium
3. 1st Workshop on Intelligent Data – From Data to Knowledge (DOING 2020)
4. Extraction of a Knowledge Graph from French Cultural Heritage Documents
5. Natural Language Querying System Through Entity Enrichment
6. Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest
7. Classification of Relationship in Argumentation Using Graph Convolutional Network
8. Recursive Expressions for SPARQL Property Paths
9. Healthcare Decision-Making Over a Geographic, Socioeconomic, and Image Data Warehouse
10. OMProv: Provenance Mechanism for Objects in Deep Learning
11. Exploiting IoT Data Crossings for Gradual Pattern Mining Through Parallel Processing
12. Cooking Related Carbon Footprint Evaluation and Optimisation
13. 2nd Workshop on Modern Approaches in Data Engineering and Information System Design (MADEISD 2020)
14. CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment – Machine Learning Approach
15. Temporal Network Analytics for Fraud Detection in the Banking Sector
16. Abdominal Aortic Aneurysm Segmentation from Contrast-Enhanced Computed Tomography Angiography Using Deep Convolutional Networks
17. Automated Classifier Development Process for Recognizing Book Pages from Video Frames
18. 1st Workshop on Scientific Knowledge Graphs (SKG 2020)
19. DINGO: An Ontology for Projects and Grants Linked Data
20. Open Science Graphs Must Interoperate!
21. WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia
22. Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics
23. A Philological Perspective on Meta-scientific Knowledge Graphs
24. 2nd Workshop of BI and Big Data Applications (BBIGAP 2020)
25. A Scored Semantic Cache Replacement Strategy for Mobile Cloud Database Systems
26. Grid-Based Clustering of Waze Data on a Relational Database
27. Your Age Revealed by Facebook Picture Metadata
28. Enacting Data Science Pipelines for Exploring Graphs: From Libraries to Studios
29. International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2020)
30. Towards the Detection of Promising Processes by Analysing the Relational Data
31. Analysis of Language Inspired Trace Representation for Anomaly Detection
32. The 1st International Workshop on Assessing Impact and Merit in Science (AIMinScience 2020)
33. Exploring Citation Networks with Hybrid Tree Pattern Queries
34. ArtSim: Improved Estimation of Current Impact for Recent Articles
35. Link Prediction in Bibliographic Networks
36. Open Science Observatory: Monitoring Open Science in Europe
37. Skyline-Based University Rankings
38. Doctoral Consortium
39. Supervised Machine Learning Model to Help Controllers Solving Aircraft Conflicts
40. Handling Context in Data Quality Management

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