RESEARCH LINES

The focus of this research line is the study of knowledge graphs and multimodal data, with the goal 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 research line includes a significant software engineering component, especially in the development of prototypes linked to the graph database engine.

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

Gonzalo Navarro, from the Departamento de Ciencias de la Computación of the Universidad de Chile, and Diego Arroyuelo, from the Departamento de Ciencia de la Computación, are the leaders of this research line.

The research team is made up of Marcelo Arenas (Departamento de Ciencia de la Computación of the Universidad Católica de Chile), Domagoj Vrgoč (Instituto de Ingeniería Matemática y Computacional of the Universidad Católica de Chile), Renzo Angles (Departamento de Ciencia de la Computación, Universidad de Talca), Andrea Rodriguez Tastets (Facultad de Ingeniería, Universidad de Concepción), Claudio Gutierrez (Departamento de Ciencias de la Computación of the Universidad de Chile), Sebastián Ferrada (Iniciativa de Datos e Inteligencia Artificial, Facultad de Ciencias Físicas y Matemáticas of the Universidad de Chile), and José Fuentes (Departamento de Ingeniería Informática y Ciencias de la Computación of the Universidad de Concepción).

Research line leaders

Research team