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portada Exploiting Linked Data and Knowledge Graphs in Large Organisations
Type
Physical Book
Publisher
Author
Language
English
Pages
266
Format
Paperback
Dimensions
23.4 x 15.6 x 1.5 cm
Weight
0.40 kg.
ISBN13
9783319833392
Categories

Exploiting Linked Data and Knowledge Graphs in Large Organisations

Pan, Jeff Z. ; Vetere, Guido ; Gomez-Perez, Jose Manuel (Author) · Springer · Paperback

Exploiting Linked Data and Knowledge Graphs in Large Organisations - Pan, Jeff Z. ; Vetere, Guido ; Gomez-Perez, Jose Manuel

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Synopsis "Exploiting Linked Data and Knowledge Graphs in Large Organisations"

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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