Volha Bryl

Papers

Total Citations

H-Index

About

Volha Bryl is a researcher whose work lies at the intersection of semantic web technologies, knowledge engineering, and data integration. She is best known for her significant contributions to the LOD2 (Linked Open Data) project, a landmark initiative aimed at advancing the creation, interlinking, and exploitation of Linked Open Data on a global scale. Her most-cited paper, "Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project" (2020, 29 citations), encapsulates the project’s key outcomes, including methodologies for data quality assessment, ontology engineering, and scalable data publishing. This work has provided foundational frameworks for researchers and practitioners seeking to transform raw, interlinked datasets into actionable knowledge. Beyond this, Bryl’s research has addressed challenges in data provenance and semantic interoperability, helping to bridge the gap between raw data and meaningful, machine-readable knowledge. Her contributions have been instrumental in shaping how large-scale, heterogeneous data sources are structured, queried, and reused, making her a notable figure in the evolution of the Semantic Web.