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| 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
| on special |
normal price: R 4,423.95
Price: R 4,202.95
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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 |
Available from overseas. Delivery time is 14 - 21 days
Publisher |
Springer International Publishing AG
Published date |
9 Feb 2017
Language |
Format |
Hardback
Pages |
266
Dimensions |
235 x 155 x 0mm (L x W x H)
Weight |
0g
ISBN |
978-3-3194-5652-2
Readership Age |
BISAC |
computers / database management / data mining
| other options |
Normally shipped |
Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price |
R 8,389.95
Price |
R 7,970.95
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