EETN is Technothesis, which pairs undergraduate or
graduate AI students with EETN members (not necessarily located at the student’s host university), who
then act as scientific mentors and thesis committee
members. Finally, EETN is active in popularizing
Greek AI research. By co-organizing AI discussion
forums, exhibitions, and competitions, EETN
encourages both university and high school students
to enter the AI field.
2. Some research articles on topics that have been pursued
by Greek AI researchers in recent years can be found at
3. For a detailed discussion, readers may want to consult
Chaudhri et al. (2009).
5. For example, in data.gov.uk.
Bereta, B., and Koubarakis, M. 2016. Ontop of Geospatial
Databases. In Proceedings of the 15th International Semantic
Web Conference, 37–52. Lecture Notes in Computer Science
9981. Berlin: Springer.
Chaudhri, V. K.; Jurisica, I.; Koubarakis, M.; Plexousakis, D.;
and Topaloglou, T. 2009. The KBMS Project and Beyond. In
Conceptual Modeling: Foundations and Applications, Essays in
Honor of John Mylopoulos, 466–482. Lecture Notes in Computer Science, edited by A. T. Borgida, V. K. Chaudhri, P.
Giorgini, and E. S. Yu, vol. 5600. Berlin: Springer, 2009.
Garbis, G.; Kyzirakos, K.; and Koubarakis, M. 2013. Geo-graphica: A Benchmark for Geospatial RDF Stores. In
Proceedings of the 12th International Semantic Web Conference,
343–359. Lecture Notes in Computer Science 8219. Berlin:
Koubarakis, M.; Bereta, K.; Papadakis, G.; Savva, D.; and Sta-moulis, G. 2017. Big, Linked Geospatial Data and Its Applications in Earth Observation. IEEE Internet Computing 21( 4):
Manolis Koubarakis is a professor in the Department of
Informatics and Telecommunications at the National and
Kapodistrian University of Athens. He has worked on various AI topics since 1988, and was elected a EurAI fellow in
George Vouros is a professor in the Department of Digital
Systems, ICT School, University of Piraeus, Greece. He is
also head of the Artificial Intelligence Group and a member
of the Data Science Lab.
Figure 3. Visualizing a Burned Area Map with Sextant.