PhD Seminar • Data Systems — RDF Data Quality

Mina Farid, PhD candidate
David R. Cheriton School of Computer Science

RDF has become a prevalent format to represent disparate data that is ingested from heterogeneous sources. However, data often contains errors due to extraction, transformation, and integration problems, leading to missing or contradicting information that propagate to downstream applications. 

The goal of this talk is to present my current work in discovering contexts and constraints from RDF data to enable high-quality analytics. I focus on denial constraints and SHACL constraints and present directions for future work.