Detecting Significant Events in a Data Stream: Core at EDBT/ICDT 2026
In a world where data is generated constantly and on a massive scale, the ability to respond to critical events within milliseconds has become a cornerstone of development. Many fields in which millions of data points are generated constantly and in a very short period of time—a data stream—require tools that allow them to identify relevant events as close to real time as possible.

In this context, Cristian Riveros, a professor in the Department of Computer Science at the Catholic University and a researcher at Millennium Institute Foundational Research on Data, along with a team of researchers, has proposed CORE: a complex event recognition engine designed to process high-speed data streams, identifying patterns that indicate critical situations the very moment they occur.
The researcher served as a keynote speaker at the 29th International Conference on Extended Database Technology (EDBT/ICDT 2026), where he discussed the technical foundations of CORE in his presentation titled “The Dissection of a Complex Event Recognition Engine.”
“The challenge isn’t just capturing the data, but understanding its relevance before it loses its value. In real-time systems, the significance of an event declines rapidly; if you don’t process it in real time, the opportunity to act disappears,” explains Riveros regarding the urgency these technologies face.

For the researcher, the invitation to present the initiative at EDBT/ICDT 2026 represents recognition of the quality of data science produced in Chile. “CORE is a significant theoretical advancement, as well as a practical and efficient solution, designed to address scalability issues that current engines are still struggling to resolve.” The researcher emphasizes that the tool has the capacity to deliver relevant information to People in areas where data is being generated continuously and constantly. “We’re thinking, for example, of smart cities, social media events, and sensors in nature reserves: there are many areas that need to extract useful information from the millions of data points being generated daily,” he notes.
In addition to the technical aspects, the talk addressed open research questions in the field of CER, laying out a roadmap for the next generation of engineers and data scientists. Riveros’s participation in EDBT/ICDT underscores the leadership of Chilean academia in developing critical infrastructure for the era of data intelligence.
The EDBT/ICDT Joint Conference is recognized as one of the world’s most influential forums for research and technological development in the field of data management. This international gathering brings together two critical pillars of computing: the International Conference on Database Theory (ICDT), which leads the theoretical and mathematical foundations of the field, and Extending Database Technology (EDBT), focused on the creation of applied systems and cutting-edge engineering solutions.

“It is at EDBT/ICDT where the breakthroughs that underpin today’s global digital infrastructure have historically been presented; therefore, this invitation confirms that the solutions developed in the country for processing critical data streams are at the forefront of the international discourse, competing directly with the advancements of the world’s leading technological powers,” adds Riveros.
You can find more information about CORE at: https://core.ing.uc.cl/
