A Methodology to Manage Structured and Semi-structured Data in Knowledge Oriented Graph

Data has become fundamental to every business process and research area like never before. To date, one of the main open points of research activities is to manage the data acquired in the field by sensors, logs etc. by modeling the data structures according to the analyzes that will be carried out....

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Bibliographic Details
Published inEngineering Applications of Neural Networks Vol. 1600; pp. 215 - 222
Main Authors Bellandi, Valerio, Ceravolo, Paolo, D’Andrea, Giacomo Alberto, Maghool, Samira, Siccardi, Stefano
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2022
Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
Data management
Events graphs
Graph rewriting
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Summary:Data has become fundamental to every business process and research area like never before. To date, one of the main open points of research activities is to manage the data acquired in the field by sensors, logs etc. by modeling the data structures according to the analyzes that will be carried out. In fact, with the advent of Big Data, the need to have a single reference data structure has been reduced, but with modern architectures there is a tendency to generate specific and optimized data structures for the analyzes that will be carried out. In this work we propose an agile data modeling methodology guided by analytics focused on the management of structured and semi-structured data sources.
ISBN:9783031082221
3031082222
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-031-08223-8_18