Table of contents
About this book
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.
Editors and affiliations
- DOI https://doi.org/10.1007/978-3-319-45654-6
- Copyright Information Springer International Publishing Switzerland 2017
- Publisher Name Springer, Cham
- eBook Packages Computer Science
- Print ISBN 978-3-319-45652-2
- Online ISBN 978-3-319-45654-6