 |
| The DTAK research group (Universitat Politècnica de Catalunya operates at the convergence of Computer Science (CS), Data Science (DS), and Artificial Intelligence (AI), advancing data management foundations for DS and AI. The group focuses on automating and democratizing the full data lifecycle to enable the trustworthy, scalable transformation of data into operational knowledge. Our research addresses the systematic integration of governance, quality, discovery, contextualization, and scalability as intrinsic components of data systems. Guided by a “Data to Knowledge and Data for Knowledge” vision, DTAK develops methods to transform raw data into structured, usable knowledge while leveraging knowledge-based techniques to enhance the reliability of data processing and AI pipelines. The group’s work spans automated data governance, scalable data discovery and integration, statistically grounded data quality, knowledge-enhanced AI architectures, large-scale data management across the computing continuum, and data management for generative AI. |
News
-
DTAK members attended ISWC 2026 in Bari, where they delivered a tutorial on Continual Knowledge Graph Embeddings.
DTAK @ ISWC 2026 -
The final cohort of the Erasmus Mundus Joint Master Degree Programme in Big Data Management and Analytics celebrated their graduation at FIB, hosted by DTAK.
BDMA Defenses and Graduation Ceremony -
DTAK hosted the 6th CyclOps Plenary Meeting in Barcelona.
CyclOps Plenary Meeting in Barcelona. -
DTIM takes part in CyclOps 5th Plenary Meeting and 1st Winter School in Bolzano, Italy.
CyclOps Plenary + Winter School in Bolzano -
DTIM takes part in ExtremeXP's Final Plenary Meeting in Athens, Greece.
ExtremeXP Final Plenary in Athens
Research Areas
- Automated Data Governance
- Data Discovery and Integration
- Data Quality
- Knowledge-Enhanced AI
- Scalable Data Architectures