Knowledge Graphs

<div>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.</div><div><br></div><div>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.</div><div><br></div><div>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. </div><div><br></div><div>                 </div><div><br></div><div><br></div><div>       </div><div><br></div><div>          </div>