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.