Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

Discover the intricate world of semantic technologies with "Reasoning Web: Learning, Uncertainty, Streaming, and Scalability," authored by Claudia d’Amato. Published by Springer Nature Switzerland AG in 2018, this insightful volume spans 237 pages of engaging lecture notes from the esteemed 14th Reasoning Web Summer School (RW 2018) held in Esch-sur-Alzette, Luxembourg.

This book dives deep into vital research areas such as Semantic Web, Linked Data, and Knowledge Graphs, showcasing their growing relevance within both academic and industrial spheres. Whether you are a scholar seeking to expand your knowledge or a professional looking for the latest trends in reasoning technologies, this resource is an essential addition to your library.

Enhance your understanding of the complexities and innovations surrounding these fields with Claudia d’Amato's expertly crafted insights. Don’t miss out on the opportunity to unlock new perspectives in reasoning and web technologies!