Trial lecture
"Query and Constraints Languages for Property Graphs".
Time and place: June 17, 2024 11:15 AM, Kristen Nygaards sal (5370), Ole-Johan Dahls hus
Main research findings
Imagine a Web where machines not only store and share data but also understand its meaning and context, much like humans do. This is the vision of the Semantic Web, rooted in innovative ideas that perceive technological advancements not solely as a means of managing information, but also as a pathway to transform the vast volume of global information into actionable intelligence.
To realize this Semantic Web vision, information from legacy data stores, such as relational databases and other proprietary formats, must be accessible under a unified data model. That is why RDF was standardized in 1999 as a standard data model for the Semantic Web, and RDB2RDF recommendations were endorsed by W3C in 2012 to facilitate the transformation of relational data into RDF. However, W3C RDB2RDF mappings currently ignore the translation of metadata that describes the structure and quality of stored data when generating RDF from relational databases, making them challenging to process, maintain, and exchange. This dissertation addresses the existing problem by introducing constraint rewritings for RDB2RDF mappings, mapping SQL constraints metadata to equivalent SHACL constraints on RDF originating from databases, and contributes towards the Semantic Web, where SHACL constraints and query optimization go hand in hand.
Adjudication committee
- Assistant Professor Magdalena Ortiz, Institute of Logic and Computation, Vienna University of Technology, Austria
- Professor Oscar Corcho, Department of Artificial Intelligence, Escuela Técnica Superior de Ingenieros Informáticos, Spain
- Professor Martin Steffen, Department of Informatics, University of Oslo, Norway
Supervisors
-
Professor Martin Giese, Department of Informatics, University of Oslo, Norway
-
Associate Professor Evgeny Kharlamov, Department of Informatics, University of Oslo, Norway
Chair of defence:
Associate Professor Ingrid Chieh Yu
Contact information at Department: Mozhdeh Sheibani Harat