Exploiting Linked Data and Knowledge Graphs in Large Organisations

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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.
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.
ASIN ‏ : ‎ B06XFQN9JV
Publisher ‏ : ‎ Springer
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ January 24, 2017
Edition ‏ : ‎ 1st ed. 2017
Language ‏ : ‎ English
File size ‏ : ‎ 8.8 MB
Enhanced typesetting ‏ : ‎ Not Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 284 pages
Format ‏ : ‎ Print Replica
ISBN-13 ‏ : ‎ 978-3319456546
Page Flip ‏ : ‎ Not Enabled
Best Sellers Rank: #5,325,353 in Kindle Store (See Top 100 in Kindle Store) #1,131 in Business Intelligence Tools #1,381 in Management Information Systems #1,405 in Data Mining (Kindle Store)
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