This book describes methods and tools that empower information providers
to build and maintain knowledge graphs, including those for manual,
semi-automatic, and automatic construction; implementation; and
validation and verification of semantic annotations and their
integration into knowledge graphs. It also presents lifecycle-based
approaches for semi-automatic and automatic curation of these graphs,
such as approaches for assessment, error correction, and enrichment of
knowledge graphs with other static and dynamic resources.
Chapter 1 defines knowledge graphs, focusing on the impact of various
approaches rather than mathematical precision. Chapter 2 details how
knowledge graphs are built, implemented, maintained, and deployed.
Chapter 3 then introduces relevant application layers that can be built
on top of such knowledge graphs, and explains how inference can be used
to define views on such graphs, making it a useful resource for open and
service-oriented dialog systems. Chapter 4 discusses applications of
knowledge graph technologies for e-tourism and use cases for other
verticals. Lastly, Chapter 5 provides a summary and sketches directions
for future work. The additional appendix introduces an abstract syntax
and semantics for domain specifications that are used to adapt
schema.org to specific domains and tasks.
To illustrate the practical use of the approaches presented, the book
discusses several pilots with a focus on conversational interfaces,
describing how to exploit knowledge graphs for e-marketing and
e-commerce. It is intended for advanced professionals and researchers
requiring a brief introduction to knowledge graphs and their
implementation.
