Exploiting Linked Data and Knowledge Graphs in Large Organisations (e-bog) af -
Wu, Honghan (redaktør)

Exploiting Linked Data and Knowledge Graphs in Large Organisations e-bog

1313,81 DKK (inkl. moms 1642,26 DKK)
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 &quote;standard&quote; data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps.It pro...
E-bog 1313,81 DKK
Forfattere Wu, Honghan (redaktør)
Forlag Springer
Udgivet 24 januar 2017
Genrer KJQ
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783319456546
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 "e;standard"e; 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.