News

August 2-4, 2022: Factorised Databases workshop

Check out the exciting program of the Factorised Databases workshop to take place from August 2 to 4 in Zurich and online. Contact a member of the DaST team if you are interested to attend.


June 2022: ACM SIGMOD and PODS papers

  • Givens QR Decomposition over Relational Databases [arxiv Video], ACM SIGMOD
    Push QR decomposition of the matrix, which is defined by acyclic joins over relational data, past the joins to improve runtime performance and numerical accuracy.
  • The Complexity of Boolean Conjunctive Queries with Intersection Joins [arxiv, Video], ACM PODS
    Settle the longstanding open problem of the data complexity for queries with intersection joins and give syntactic characterisation of all such queries that can be computed in linear time data complexity.

April 2022: Test of Time Award at 25th International Conference on Database Theory

Dan Olteanu and Jakub Závodný received the Test of Time Award for their ICDT 2012 paper "Factorized Representations of Query Results: Size Bounds and Readability". This award recognizes a paper presented 10 years prior at the ICDT conference that has best met the "test of time" and had the highest impact in terms of research, methodology, conceptual contribution, or transfer to practice over the past decade.

23-minute video of the talk is available here.

News: Conference announcement; UZH IfI; St Cross College, University of Oxford; Department of Computer Science, University of Oxford


December 2021: PVLDB 2023 Associate Editor

Prof. Dan Olteanu has been appointed Associate Editor for the Proceedings of Very Large Data Bases 2023. His tenure will be from April 2022 to March 2023.


December 2021: Invited Talk at DBAI@NeurIPS 2021

Work by the DaST team on "Machine Learning through Database Glasses" to be presented at the Workshop on Databases and AI at NeuIPS 2021 conference.


July 2021: CPHC/BCS 2020 Distinguished Dissertation Award Highly Commended

Former PhD student Maximilian Schleich was Highly Commended in the competition for the CPHC/BCS 2020 Distinguished Dissertation Award. Each year, BCS and the Conference of Professors and Heads of Computing (CPHC) award the best UK PhD/DPhil dissertations in computer science that stand out for their excellence.


June 2021: Tutorial at Distributed Event-Based Systems conference

The DaST group will give a tutorial on in-database machine learning at Distributed Event-Based Systems (DEBS) conference in June 2021.


May 2021: Honourable Mention for the 2021 SIGMOD Jim Gray Doctoral Dissertation Award

Former PhD student Maximilian Schleich was awarded an Honourable Mention for the 2021 SIGMOD Jim Gray Doctoral Dissertation Award for his DPhil dissertation entitled "Structure-Aware Learning over Multi-Relational Databases". The award recognizes excellent research by doctoral candidates in the database field.


May 2021: Invited Talk at Spotlight on Logic and Databases

Dr. Ahmet Kara and Prof. Dan Olteanu will give an invited talk on their work on trade-offs in incremental maintenance for query processing at the workshop Spotlight on Logic and Databases associated with the Highlights of Logic, Games, and Automata conference.


October 2020: LMFAO prototype released


LMFAO (Layered Multiple Functional Aggregate Optimisation) has been released in the public domain.

LMFAO 1.0 Repository https://github.com/fdbresearch/LMFAO


September 2020: Article accepted for ACM Transactions on Database Systems


Our article on functional aggregate queries with additive inequalities has been accepted for the ACM Transactions on Database Systems (TODS) special issue of best papers at ACM Principles of Database Systems (PODS) 2019.
A publicly available version of the article is on arxiv.


August 2020: VLDB'20 Keynote and System Demonstration


Dan Olteanu will give a keynote at Very Large Data Bases (VLDB) 2020. VLDB is an internationally premier forum for data management and database research in academia and industry.

  • The Relational Data Borg is Learning (Keynote) [arxiv]
    Dan Olteanu.
    In PVLDB 13(12): 3503 - 3516, 2020.
  • LMFAO: An Engine for Batches of Group-By Aggregates (Demonstration) [arxiv, video]
    Maximilian Schleich, Dan Olteanu.
    In PVLDB 13(12): 2945 - 2948, 2020.

June 2020: PODS'20 Paper and SIGMOD'20 System Demonstration


Check out videos and slides for our PODS and SIGMOD papers on incremental maintenance of queries and machine learning over evolving relational databases:

  • F-IVM: Learning over Fast Evolving Relational Data. (Demonstration)
    Milos Nikolic, Haozhe Zhang, Ahmet Kara, Dan Olteanu.
    In ACM SIGMOD 2020. [pdf, video]
  • Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries.
    Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang.
    In ACM PODS 2020. [arxiv, extended slides, video]

May 2020: Article accepted for ACM Transactions on Database Systems


Our article on worst-case optimal incremental maintenance for triangle queries has been accepted for the ACM Transactions on Database Systems (TODS) special issue of best papers at the International Conference on Database Theory (ICDT) 2019.
A publicly available version of the article is on arxiv.


May 2020: Article accepted for ACM Transactions on Database Systems


Our article on learning with sparse tensors and functional dependencies has been accepted for the ACM Transactions on Database Systems (TODS) special issue of best papers at ACM Principles of Database Systems (PODS) 2018.
A publicly available version of the article is on arxiv.


May 2020: PC Chair of ICDT 2022


Prof. Olteanu has been appointed Programme Committee Chair of the International Conference on Database Theory (ICDT) 2022. Together with PODS, ICDT is the main international forum for research in database theory.


May 2020: The DaST group is born


As of 1 May 2020 the Board of the University has appointed Dan Olteanu as Professor for Big Data Science.
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