Exploiting Linked Data and Knowledge Graphs in Large Organisations
Produktdetaljer
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.
“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)