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      Improving Decision Making Using Semantic Web Technologies

      by Tek Raj Chhetri

      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.

      FORMAT
      Paperback
      CONDITION
      Brand New


      Publisher 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.

      Author Biography

      Dr. Tek Raj Chhetri is currently a postdoctoral associate at the Senseable Intelligence Group at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology, United States. He is the founder and director of CAIR-Nepal (Center for Artificial Intelligence Research Nepal), an artificial intelligence research organization in Nepal. He conducts research in artificial intelligence, knowledge graphs, data privacy, and Internet of Things (IoT) data sharing.

      Table of Contents

      Introduction.- Publications.- Bibliography.

      Details

      ISBN3658458763
      Author Tek Raj Chhetri
      Publisher Springer Fachmedien Wiesbaden
      ISBN-13 9783658458768
      Format Paperback
      Imprint Springer Vieweg
      Place of Publication Weisbaden
      Country of Publication Germany
      Audience Professional & Vocational
      Edition Description 2024 ed.
      Edition 2024th
      Year 2025
      Pages 275
      Illustrations 82 Illustrations, black and white; XXXIII, 275 p. 82 illus. Textbook for German language market.
      Publication Date 2025-02-02
      DEWEY 006.31

      TheNile_Item_ID:169737125;
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