Millennium DB is awarded at SIGMOD/PODS 2024

August, 2024 - For the first time in its history, the most prestigious international conference in data science, ACM SIGMOD/PODS, was held in Latin America, with Chile as the host country. One of the sections of this important conference is the presentation of cutting-edge prototypes of new data management systems. What is sought in these prototypes is that they are visionary developments, based on solid applied research work and aimed at solving fundamental problems in data management.

This segment of SIGMOD/PODS presents the Best Demo Award to the best prototype and this year MillenniumDB, the new search engine for graph databases developed by IMFD, won second place. developed by IMFD, won second place. MillenniumDB has proven to be two to 10 times faster than other systems currently in use (such as those from Amazon or Neo4j) and can be used with multiple data models and query languages. It has been successfully tested with Wikidata, one of the largest graph databases developed by the Wikimedia Foundation.

In the development of MillenniumDB involves 14 academics, researchers and engineers, and was led by Domagoj Vrgoč and Carlos Rojas (P. Catholic University of Chile, IMFD).

SIGMOD/PODS 2024 was led by Nayat Sánchez-Pí, director of Inria Chile, and Pablo Barceló, director of the Institute of Mathematical and Computational Engineering of the Catholic University of Chile (IMC-UC) and researcher at the Millennium Institute Foundational Research on Data (IMFD) and the National Center for Artificial Intelligence (Cenia). The conference brought together nearly 700 scientists, students and experts to address the challenges of handling large volumes of data.

Strong IMFD presence

IMFD also had a strong presence at the event. Aidan Hogan (U. of Chile, IMFD) and Domagoj Vrgoč (P. Catholic University of Chile, IMFD) delivered a tutorial session where they showed how to query large-scale graph databases..

Of the of the event's four keynote lectures, two were given by Chileans.. Ricardo Baeza-Yatesa full professor at the University of Chile and senior researcher at the Millennium Institute Foundational Research on Data (IMFD), addressed the challenges and limitations of artificial intelligence from the perspective of data, while Marcelo ArenasMarcelo Arenas, full professor at the Catholic University of Chile and associate researcher at the IMFD, discussed his recent research on models to explain the decisions made by artificial intelligence models.

In the frontier research section, an interdisciplinary work was presented that has made significant progress in improving graph database search systems. advances in improving search systems on graph databases, in order to provide not only accurate information, but also richer in depth and nuance.The researchers are Diego Arroyuelo and Juan Reutter (P. Universidad Católica de Chile) and Juan Reutter (P. Universidad Católica de Chile). The researchers are Diego Arroyuelo and Juan Reutter (P. Universidad Católica de Chile, IMFD); Benjamín Bustos, Aidan Hogan and Gonzalo Navarro (Universidad de Chile, IMFD), and Adrián Gómez-Brandón (Universidade da Coruña, Spain, IMFD). Another innovation presented was REmatcha tool with the ability to extract information from a pattern from text documents.. REmatch was developed by Cristian Riveros and Domagoj Vrgoč, together with Vicente Calisto, Gustavo Toro and Nicolás Van Sint Jan, all from P. Universidad Católica de Chile, and Kyle Bossonney (Oxford University).