RESEARCH AREAS

The focus of this line of research is the study of knowledge graphs and multimodal data, with the aim of developing a functional graph database engine and exploring new processing techniques for graphs that integrate different types of data, such as text, images, audio, video, etc.

The team combines cutting-edge algorithmic research—including data structures, query languages, protocols, and indexing systems—with representation and machine learning techniques for complex data. In addition, this line of research includes a significant software engineering component, especially in the development of prototypes linked to the graph database engine.

The work responds to the growing global interest in knowledge graphs as a solution for managing large volumes of unstructured information, strengthening the computational foundations necessary for their efficient and scalable implementation.

Gonzalo Navarro, from the Department of Computer Science at the University of Chile, and Diego Arroyuelo, from the Department of Computer Science, are the leaders of this line of research.

The research team consists of Marcelo Arenas (Department of Computer Science, Catholic University of Chile), Domagoj Vrgoč (Institute of Mathematical and Computational Engineering, Catholic University of Chile), Renzo Angles ( Department of Computer Science, University of Talca), Andrea Rodriguez Tastets (Faculty of Engineering, University of Concepción), Claudio Gutierrez (Department of Computer Science, University of Chile), and Sebastián Ferrada (Data and Artificial Intelligence Initiative, Faculty of Physical and Mathematical Sciences, University of Chile).

Research line leaders

Research team