Exploiting Linked Data And Knowledge Graphs In Large Organisations by Jeff Z. PanExploiting Linked Data And Knowledge Graphs In Large Organisations by Jeff Z. Pan

Exploiting Linked Data And Knowledge Graphs In Large Organisations

byJeff Z. PanEditorGuido Vetere, Jose Manuel Gomez-perez

Hardcover | February 9, 2017

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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.

About the Editors:Jeff Z. Pan is a Reader (Professor) at University of Aberdeen. He is the Chief Scientist of the EC Marie Curie K-Drive project and has edited many books/proceedings on Semantic Technologies and Linked Data. He is well known for his work on knowledge construction, reasoning and exploitation. Guido Vetere leads the IBM ...
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Title:Exploiting Linked Data And Knowledge Graphs In Large OrganisationsFormat:HardcoverDimensions:266 pagesPublished:February 9, 2017Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319456520

ISBN - 13:9783319456522

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Reviews

Table of Contents

Part I Knowledge Graph Foundations & Architecture.- Part II Constructing, Understanding and Consuming Knowledge Graphs.- Part III Industrial Applications and Successful Stories.

Editorial Reviews

"Internet corporations have proved the power that Knowledge Graph can bring to business. This book provides a thorough guide in this line for practisers, researchers and students." (Junlan Feng, Director of Big Data Analytics Lab, China Mobile Research)"Knowledge Graph help companies unify their view of the world in the form of shared schemas or ontologies for core entities in their business. It is the right time to implement the concepts clearly introduced in this book." (Peter Mika, Director of Semantic Search, Yahoo Lab)"Working with auditable knowledge is key for a next generation of enterprise conversational systems. This book gives a great picture of how to do that work." (David Nahamoo, IBM Fellow, Speech CTO at IBM Research)