Items related to Exploiting Linked Data and Knowledge Graphs in Large...
Synopsis
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...
About the Author
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 Center for Advanced Studies Italy. He has led/worked in many research and development projects...
Review
“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...
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2017
- ISBN 10 3319456520
- ISBN 13 9783319456522
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages284
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