Semantic Keyword-Based Search on Structured Data Sources

"Semantic Keyword-Based Search on Structured Data Sources" by Andrea Calì is an essential read for anyone interested in the intersection of semantics and data retrieval. Published by Springer International Publishing AG in 2017, this 1st edition offers a comprehensive exploration into innovative keyword-based search techniques tailored for structured data environments. Spanning 197 pages, the book captures the insights and discussions from the Second COST Action IC1302 International KEYSTONE Conference held in Cluj-Napoca, Romania, in September 2016. Calì’s work is thoroughly refereed, ensuring that each contribution reflects the latest research trends and applications in the field. Ideal for researchers, data scientists, and students alike, this book provides valuable perspectives on enhancing search capabilities in complex data landscapes. Whether you're seeking to improve your understanding of semantic search or looking to implement these strategies in practical scenarios, this title is a must-have addition to your academic library.