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Exploiting Linked Data and Knowledge Graphs in Large Organisations, (Hardcover)

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Management number 238324691 Release Date 2026/07/11 List Price US$59.14 Model Number 238324691
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This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and "standard" data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps. <p>It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.<br></p>

  • Exploiting Linked Data and Knowledge Graphs in Large Organisations, (Hardcover)
  • Author: Springer
  • ISBN: 9783319456522
  • Format: Hardcover
  • Publication Date: 2017-02-09
  • Page Count: 266
Book format Hardcover
Fiction/nonfiction Non-Fiction
Genre Computing & Internet
Publication date February, 2017
Pages 266
Subgenre Artificial Intelligence
Series title No Series
Number in series 0
Edition 2017 Edition
Publisher Springer International Publishing
Original languages English
Language English
Is collectible N
Editor Jeff Z Pan; Guido Vetere; Jose Manuel Gomez-Perez; Honghan Wu
Binding type Case Binding
Recording time 0 min
Retail packaging Single Piece
Assembled product dimensions (l x w x h) 6.14 x 0.69 x 9.21 in
Assembled product weight 1.27 lb
Bisac subject heading Computers

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