Exploiting Linked Data and Knowledge Graphs in Large Organisations Hardback
Edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez, Honghan Wu
Hardback
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.
Information
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Out of stock
- Format:Hardback
- Pages:266 pages, 44 Illustrations, color; 15 Illustrations, black and white; XVIII, 266 p. 59 illus., 44 i
- Publisher:Springer International Publishing AG
- Publication Date:09/02/2017
- Category:
- ISBN:9783319456522
Information
-
Out of stock
- Format:Hardback
- Pages:266 pages, 44 Illustrations, color; 15 Illustrations, black and white; XVIII, 266 p. 59 illus., 44 i
- Publisher:Springer International Publishing AG
- Publication Date:09/02/2017
- Category:
- ISBN:9783319456522
