archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[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

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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).

 
 

NEWS

 
Director Timos Sellis Moderates a Panel on AI and Health Policy

Director Timos Sellis Moderates a Panel on AI and Health Policy

On Thursday, 11 December 2025, during the 2025 Panhellenic Congress on Health Economics and Policy, Professor Timos Sellis moderated an expert panel on ¨How AI May Transform Healthcare and Health Policies” and exchanged views with Professor Costas Athanassakis, Professor Theoklis Zaoutis, Dr. Georgios Papanastasiou, and Dr. Harietta Eleftherochorinou.

Archimedes Surpasses 300 Publications

Archimedes Surpasses 300 Publications

Archimedes Unit of the Athena Research Center, Greece, is proud to announce that its researchers have published over 300 scientific publications in top-tier conferences (including NeurIPS, ICLR, ICML) and leading academic journals.

First Call for Papers of the Workshop on Dialects in NLP (LREC 2026)

First Call for Papers of the Workshop on Dialects in NLP (LREC 2026)

First call for papers for the "Workshop on Dialects in NLP: A Resource Perspective" at the three-day Language Resources Association Conference (LREC) 2026. This workshopwill be held in conjunction with LREC 2026, Palma de Mallorca, Spain on 11, 12 and 16 May 2026. It is a hybrid event and attendance can be in person or online. 

Participation is Open for the 2026 ELLIS Winter School

Participation is Open for the 2026 ELLIS Winter School

Archimedes Unit of the Athena Research Center, Greece, encourages participation in the "ELLIS Winter School 2026: AI for Earth System, Hazards, and Climate Extremes", taking place on March 16-20, 2026, at the National Technical University of Athens, Greece.

Merry Christmas!

Merry Christmas!

🌟 The Archimedes Community of the Athena Research Center, Greece, would like to wish everyone a Merry Christmas and a holiday season filled with happiness, gratitude, and good health. ✨

 
 

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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