Managing and Consuming Completeness Information for RDF Data Sources

Understanding Completeness in Semantic Web Data

When we query the Semantic Web, how do we know we’ve received all the answers? This question sits at the heart of Managing and Consuming Completeness Information for RDF Data Sources. The book tackles a fundamental problem: RDF data is often incomplete, yet many practical applications need to know when a query result is complete. Fariz Darari’s research offers a rigorous framework for representing, reasoning about, and using completeness information.

From Formal Foundations to Practical Tools

The text begins by establishing a formal framework for completeness statements and query completeness. It then moves into data-aware completeness reasoning, showing how to check whether a query is complete given specific data. Optimization techniques are presented to make this reasoning feasible on real-world datasets. The book also addresses soundness reasoning for queries with negation, extends the framework with time-aware completeness, and introduces two demonstrators—CORNER and COOL-WD—that show how these ideas can be implemented.

Extracting Completeness from the Web

A notable chapter explores an automated method to generate completeness statements from text on the Web via relation cardinality extraction. This approach connects natural language processing with Semantic Web data management, offering a way to bootstrap completeness information at scale.

Who This Book Is For

Researchers, graduate students, and practitioners in Semantic Web, knowledge graphs, and data management will find this volume useful. It assumes familiarity with RDF and SPARQL, making it suitable for those already working in the field. The combination of theoretical depth and practical demonstrations makes it a useful reference for anyone concerned with data quality and query completeness.

About the Author

Fariz Darari is affiliated with the Faculty of Computer Science at Universitas Indonesia. His research interests include Semantic Web, data completeness, and knowledge representation. This book is based on his doctoral dissertation, jointly awarded by the Free University of Bozen-Bolzano and Technische Universität Dresden.