Artificial Intelligence
Data Science
Algorithms
archimedes-Artificial Intelligence, Data Science, Algorithms-greece
greece
Algorithms
Data Science
Artificial Intelligence
[Archimedes Talks Series] Exploring and Analyzing Change: The Janus Project
Dates
2024-10-09 14:00 - 16:00
Venue
Artemidos 1 - Amphitheater
Title: Exploring and Analyzing Change: The Janus Project
Speaker: Dr. Divesh Srivastava (Head of Database Research at AT&T)
Abstract: Data change, all the time. The Janus project seeks to address the Variability dimension of Big Data by modeling, exploring, and analyzing such change, providing valuable insights into the evolving real world and the ways in which data about
it are collected and used.
We start by identifying technical challenges that need to be addressed to realize the Janus vision. Towards this end, we have extracted and worked with the histories of various structured datasets, including DBLP, IMDB, open government data, and Wikipedia,
for which a detailed history of every edit is available. Our DBChEx (Database Change Explorer) prototype enables interactive exploration of data and schema changes, and we show how DBChEx can help users gain valuable insights by exploring two real-world datasets,
IMDB and Wikipedia infoboxes.
Based on an analysis of the history of 3.5M tables on the English Wikipedia for a total of 53.8M table versions, we then illustrate the rich history of structured Wikipedia data: we show that tables are created in certain locations, they change their shape,
they move, they grow, they shrink, their data change, they vanish, and they re-appear; indeed, each table has a life of its own. Finally, to help automatically interpret the useful knowledge harbored in the history of Wikipedia tables, we present recent results
on two technical problems: (i) identifying Natural Keys, a particularly important piece of metadata, which serves as a primary key in tables over time and consists of attributes inherent to an entity, and (ii) matching tables, infoboxes and lists within a
Wikipedia page across page revisions. We solve these problems at scale and make the resulting curated datasets available to the community to facilitate future research.
This is joint work with Tobias Bleifuß, Leon Bornemann, Dmitri Kalashnikov, and Felix Naumann
Short Bio: Divesh Srivastava is the Head of Database Research at AT&T. He is an AT&T Fellow, a Fellow of the ACM, the President of the VLDB Endowment, co-chair of the ACM Publications Board, and on the Board of Directors of the Computing Research Association.
He has served as PC co-chair of many international conferences including SIGMOD 2021, VLDB 2020 (Industrial), SIGMOD 2020 (Industrial), and ICDE 2019. He has presented keynote talks at several international conferences, and his research interests and publications
span a variety of topics in data management. He received his Ph.D. from the University of Wisconsin, Madison, USA, and his Bachelor of Technology from the Indian Institute of Technology, Bombay, India.
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Vision
To position Greece as a leading player in AI and Data Science
Mission
To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world
Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).
Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”
24 March 2026
Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia Engineering at Columbia University, USA, and Principal Scientist at the Archimedes Research Unit of the Athena Research Center, Greece, spoke about “Artificial Intelligence: its History, its Present, and its Uncertain Future” during the ten-year anniversary event of diaNEOsis think tank, which took place on March 11, 2026, at the Stavros Niarchos Foundation Cultural Center (SNFCC).
Vasia Papanikou to Present the MIMOSA Fairness Exploration Tool at EDBT/ICDT 2026 Joint Conference
24 March 2026
Vasia Papanikou, a PhD student at the University of Ioannina and an Academic fellow at Archimedes, Athena Research Center, Greece, will be demonstrating "MIMOSA: A Tool for Fairness Exploration Through Explanations" at the 29th International Conference on Extending Database Technology (EDBT/ICDT 2026), taking place from March 24–27, 2026, at Tampere, Finland.
Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026
16 March 2026
Archimedes Academic Fellow and a third-year PhD student at the National and Kapodistrian University of Athens in Greece, Andreas Lolos recently travelled to Tucson in Arizona, USA, and presented the paper "SGPMIL: Sparse Gaussian Process Multiple Instance Learning" at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026).
6 Accepted Papers at ICLR 2026
11 March 2026
The Archimedes research unit of the Athena Research Center in Greece has six papers accepted at this year's International Conference on Learning Representations (ICLR) gathering, including one oral presentation. The acceptance rate for posters was about 25,8% and about 1,1% for oral presentations. Please bear in mind that ICLR, along with NeurIPS and ICML, is considered one of the three top-tier artificial intelligence and machine learning conferences in the world.
The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.
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