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Understanding semantics-based decision support / Sarika Jain.

By: Material type: TextTextPublisher: Boca Raton, FL : Chapman & Hall/CRC, 2020Copyright date: ©2020Edition: First editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781000223613
  • 1000223612
  • 9781003008927
  • 1003008925
  • 9781000223637
  • 1000223639
  • 1000223655
  • 9781000223651
Subject(s): DDC classification:
  • 658.403 23
LOC classification:
  • T57.95 .J35 2020eb
Online resources: Summary: This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data. It also covers extracts from a few project dissertations and a research funded project that the author had supervised. Describes the power of ontologies for better data management Provides an overview of knowledge engineering including ontology engineering, tools and techniques Provides sample development procedures for creating two domain ontologies. Depicts the utility of ontological representation in situation awareness Demonstrates recommendation engine for unconventional emergencies using a hybrid reasoning approach. The text explains how to make better utilization of resources when emergency strikesGraduates and undergraduates doing courses in artificial intelligence, semantic web and knowledge engineering will find this book beneficial.
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This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data. It also covers extracts from a few project dissertations and a research funded project that the author had supervised. Describes the power of ontologies for better data management Provides an overview of knowledge engineering including ontology engineering, tools and techniques Provides sample development procedures for creating two domain ontologies. Depicts the utility of ontological representation in situation awareness Demonstrates recommendation engine for unconventional emergencies using a hybrid reasoning approach. The text explains how to make better utilization of resources when emergency strikesGraduates and undergraduates doing courses in artificial intelligence, semantic web and knowledge engineering will find this book beneficial.

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