Improving Decision Making Using Semantic Web Technologies

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Éditeur :

Springer Vieweg


Paru le : 2025-02-01

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Description

As technology becomes integral to our lives, its influence on decision making in smart cities, healthcare, and manufacturing is undeniable. However, challenges such as limited contextual awareness, domain knowledge, explainability of machine learning (ML), and issues of interoperability, data quality, and GDPR (General Data Protection Regulation) compliance in data sharing hinder effective decision making. This book addresses these critical challenges by exploring how the synergy of semantic technologies (SW), like ontologies and knowledge graphs, with or without ML, can overcome these challenges to improve decision making. Through real-world case studies in data sharing, manufacturing, and agriculture, it offers theoretical and practical insights and guidelines of how SW can enhance prediction accuracy, integrate domain knowledge, support ML explainability, and tackle interoperability, data quality, and GDPR challenges.
Pages
275 pages
Collection
n.c
Parution
2025-02-01
Marque
Springer Vieweg
EAN papier
9783658458768
EAN PDF
9783658458775

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
10383 Ko
Prix
94,94 €
EAN EPUB
9783658458775

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
26399 Ko
Prix
94,94 €

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