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The Intelligent Systems Group (GSI, Grupo de Sistemas Inteligentes) is a research group acknowledged by the Technical University of Madrid (UPM, Universidad Politécnica de Madrid). Our staff consists of 14 professors, 8 researchers and 8 undergraduates from several departments of the university, mainly from the Department of Telematic Systems Engineering (DIT, Departamento de Ingeniería de Sistemas Telemáticos).

Since 1982, our group has conducted research, development and innovation in theories, methods and applications of artificial intelligence techniques, especially in the fields of Machine learning and Big Data, Semantic technologies and Linked Data, Intelligent Agents and Agent-based Social Simulation, Language engineering, and Web and Service engineering.

Our group proposes master thesis and final graduate works in topics such as Machine Learning, Big Data and the Web of Data. We offer the possibility of publishing the results in international conferences and workshops.

“Highly organized research is guaranteed to produce nothing new.” ― Frank Herbert, Dune

“An expert is one who knows more and more about less and less until he knows absolutely everything about nothing.” ― Nicholas Murray Butler

“Science is simply common sense at its best, that is, rigidly accurate in observation, and merciless to fallacy in logic.” ― Thomas Henry Huxley

If we knew what we were doing, it wouldn't be research

“I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.” - Alan Turing

GSI has developed a multiagent system for telecommunication network diagnosis that is currently being used by Telefónica in Spain and O2 in Czech Republic

GSI participates in the project MOSI-AGIL which researches on the application of social simulation techniques for evacuation of big facilities. The project is funded by the Region of Madrid.

The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation. - Tim Berners-Lee

Investigación

Proyectos

Canal GSI

Software

Publicaciones

Latest news

Participación en el TASS-2017

Este año la sexta edición del TASS (Taller de Análisis Semántico en la SEPLN) se ha celebrado en Murcia, España, del 19 al 22 de Septiembre, bajo el XXXIII Congreso Internacional de la Sociedad Española pa ...

Presentación de SOIL en PAAMS 2017

Este año, la décimo quinta edición de la conferencia Practical Applications of Agents and Multi-Agent Systems (PAAMS) ha tenido lugar en Oporto (Portugal), del 21 al 23 de Junio. El GSI ha presentado el framework ...

Entrega del Premio a la Mejor Tesis de Doctorado Ibérico en Sistemas y Tecnologías de la Información

El pasado día 23 de Junio de 2017 tuvo lugar en el ISCTE-IUL - Instituto Universitário de Lisboa la entrega del premio a la Mejor Tesis de Doctorado Ibérico en Sistemas y Tecnologías de la Información en su e ...

GSI Channel

Featured

Premio Mejor Tesis Ibérica STI para Álvaro Carrera Barroso

El premio “Mejor Tesis de Doctorado Ibérico en Sistemas y Tecnologías de la Información” se concede anualmente por AISTI al mejor trabajo de Tesis Doctoral, realizado en el ámbito de las área ...

Publication Sematch: Semantic similarity framework for Knowledge Graphs

Members of GSI has published the article Sematch: Semantic Similarity Framework for Knowledge Graphs, Ganggao Zhu & Carlos A. Iglesias. (2017) . Knowledge-Based Systems, JCR 3.325 (Q1)Sematch is ...

New project H2020 Trivalent. Terrorism Prevention via Radicalisation Counter-Narrative

GSI will participate in a new H2020 project called Trivalent (Terrorism pReventIon Via rAdicaLisation countEr-NarraTive), from 2017 to 2020. The project aims at providing a multidisciplinary analysis ...

PhD position in Agent technology applied to Software Defined Networks (SDN)

A PhD Contract for an outstanding candidate to undertake research in Distributed Multi-Agent Coordination applied to Autonomic Fault Diagnosis of Software Defined Networks.