New Trends in Database and Information Systems (eBook, PDF)

ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings
Redaktion: Chiusano, Silvia; Zumpano, Ester; Vargas-Solar, Genoveva; Catania, Barbara; Nørvåg, Kjetil; Wrembel, Robert; Cerquitelli, Tania

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022, held in Turin, Italy, in September 2022.

The 29 short papers presented were carefully reviewed and selected from 90 submissions. The selected short papers are organized in the following sections: data understanding, modeling and visualization; fairness in data processing; data management pipeline, information and process retrieval; data access optimization; data pre-processing and cleaning; data science and machine learning.

Further, papers from the following workshops and satellite events are provided in the volume: DOING: 3rd Workshop on Intelligent Data - From Data to Knowledge; K-GALS: 1st Workshop on Knowledge Graphs Analysis on a Large Scale; MADEISD: 4th Workshop on Modern Approaches in Data Engineering and Information System Design; MegaData: 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics; SWODCH: 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage; Doctoral Consortium.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 668
• Erscheinungstermin: 29. August 2022
• Englisch
• ISBN-13: 9783031157431
• Artikelnr.: 65471111

Inhaltsangabe

ADBIS Short Papers: Data Understanding, Modeling and Visualization.
 ADBIS Short Papers: Fairness in Data Processing.
 ADBIS Short Papers: Data Management Pipeline, Information and Process Retrieval.
 ADBIS Short Papers: Data Access Optimization.
 ADBIS Short Papers: Data Pre
Processing and Cleaning.
 ADBIS Short Papers: Modeling and Querying of Graph Databases.
 ADBIS Short Papers: Data Science and Machine Learning.
 DOING: 3rd Workshop on Intelligent Data
From Data to Knowledge.
 K
GALS: 1st Workshop on Knowledge Graphs Analysis on a Large Scale.
 MADEISD: 4th Workshop on Modern Approaches in Data Engineering and Information System Design.
 MegaData: 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics.
 SWODCH: 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage.
 Doctoral Consortium.