Conferences
CollaboratorHackathonJun 25, 2023·DBCLS Biohackathon 2023, Kagawa, Japan

Biohackathon 2023

Overview

Biohackathon 2023 was organized by the Database Center for Life Science with the goal of accelerating data science through the integrated use of databases in life sciences. Held on Shodoshima Island in Kagawa, Japan, the event brought together researchers, engineers, and semantic web practitioners from across the globe to collaborate intensively on open-source tools and standards that advance interoperability in the life sciences.

For more than a decade, DBCLS has organized these hackathons with a focus on the Semantic Web community, bringing together ontologists, data engineers, and bioinformaticians to develop tools for real-world data integration challenges.

I had the opportunity to attend and participate at Biohackathon 2023 as a collaborator, contributing to two projects over the course of the hackathon.

Projects

Redesign of the Validation Framework in LinkML

Contributed to a project that reimagined LinkML's approach to schema validation by designing and implementing a flexible, plugin-based validation framework. The work explored how modular validation logic could enable users to define custom validation plugins tailored to domain-specific constraints. The work eventually inspired the redesign of the validation in LinkML by core developers.

The work and its outcome are describe in detail a BioHackrXiv Preprint.

RDF Data Integration Using Shape Expressions

Collaborated on a project exploring the use of Shape Expressions (ShEx) as a mechanism for integrating heterogeneous RDF datasets. ShEx provides a compact, readable syntax for describing and validating the structure of RDF graphs, making it a strong candidate for mediating between datasets that share overlapping but not identical schemas. The project investigated how ShEx shapes could be leveraged to drive data integration workflows, enabling more principled and verifiable merging of RDF knowledge graphs from different sources.

The work and its outcome are describe in detail a BioHackrXiv Preprint.

© 2026 Deepak Unni