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books
| book details |
Exploiting Linked Data and Knowledge Graphs in Large Organisations
Edited by Jeff Z. Pan, Edited by Guido Vetere, Edited by Jose Manuel Gomez-Perez, Edited by Honghan Wu
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| on special |
normal price: R 5 691.95
Price: R 5 407.95
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| book description |
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. 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.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 13 Jul 2018
Language |
Format | Paperback / softback
Pages | 266
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3198-3339-2
Readership Age |
BISAC | computers / artificial intelligence
| other options |
Normally shipped |
Readership Age |
Normal Price | R 7 690.95
Price | R 7 305.95
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