Exploiting Linked Data and Knowledge Graphs in Large Organisations
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Exploiting Linked Data and Knowledge Graphs in Large Organisations
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Amazon Business : For business-only pricing, quantity discounts and FREE Shipping. Register a free business account Hardcover: 284 pages Publisher: Springer; 1st ed. 2017 edition (February 9, 2017) Language: English ISBN-10: 3319456520 ISBN-13: 978-3319456522 Product Dimensions: 6.1 x 0.7 x 9.2 inches Shipping Weight: 1.3 pounds (View shipping rates and policies)
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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.
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