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

 
Archimedes Talk by Eli Baum on

Archimedes Talk by Eli Baum on "ORQ: Scaling Complex Multiparty Computations to Large Private Datasets"

On Monday 4 May, 2026, from 1:00 pm to 2:30 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Eli Baum, a third-year Ph.D. student at  Boston University, USA, and a member of the BU CASP Systems Lab and the BU Security Group, will deliver an Archimedes talk on "ORQ: Scaling Complex Multiparty Computations to Large Private Datasets."

DialRes-LREC 2026 workshop: “Dialects in NLP: A Resource Perspective”

DialRes-LREC 2026 workshop: “Dialects in NLP: A Resource Perspective”

Researchers from the Archimedes Unit of the Athena Research Center, Greece, together with the Athena Research Center team on Dialectal NLP, affiliated with the Institute for Language and Speech Processing, and in collaboration with researchers from George Mason University, are organizing the first edition of the DialRes-LREC 2026 workshop, “Dialects in NLP: A Resource Perspective”, to be held on 16 May 2026. More information is available here: https://dialres.github.io/dialres/index.html.

Antonis Anastasopoulos' Keynote Speech on

Antonis Anastasopoulos' Keynote Speech on "Machine Translation and Low-Resource NLP" from the Athens NLP 2025 Summer School is Now Available Online

Antonis Athanassopoulos, an Assistant Professor at the Computer Science Department of George Mason University,USA, and a Lead Researcher at Archimedes, Athena Research Center, Greece, was one of the keynote speakers at the Athens NLP 2025 Summer School, held at the National Centre for Scientific Research Demokritos in Greece, from 4 to 10 September 2025.His presentation on "Machine Translation and Low-Resource NLP" is now available online.

Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”

Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”

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).

 
 

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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