Intelligent Social Knowledge based Systems

Submitted by francisco.grimaldi on Tue, 07/07/2020 - 09:04
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The research of Manuel Jesús Cobo Martín is focused on the science mapping analysis, where I have developed both methodologies and studies on specific scientific areas, as well as an open source tool (SciMAT) to carry out the process of creating and interpreting science maps. The publications associated with this line of research and derived from my doctoral thesis have captured the interest of the community by obtaining a large number of citations. In addition, I have made several collaborations in the areas of recommendation systems, quality assessment systems and decision making systems. The results obtained have been supported by publications in high impact journals, book chapters, contributions to conferences and research projects. As an example, I have published 42 articles, being more than 30 Q1. Although my first publications (2011-2012) are recent, they are being highly cited by the scientific community in databases such as Web of Science, Scopus or Google Scholar.

I have also participated in numerous national and regional projects, developing different tasks, and in various research contracts with different organizations and foundations, both public and private. In particular, I have worked on two contracts financed by the Euro-Arab Foundation in which the techniques, methodologies and tools developed in my doctoral thesis have been directly applied.

I am currently Associate Professor in the Department of Computer Science and Engineering at the University of Cadiz. In addition, I am the main responsible for the PAIDI TIC-256 Intelligent Social Knowledge based Systems (IntellSOK) Research Group.


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Short description of research profile

Bio-inspired algorithms in heterogeneous distributed environments
Analysis of social networks and complex systems
Application of bio-inspired algorithms for the optimization of intelligent agents in video games
Application of automatic reasoning techniques in data mining. Pattern recognition through the use of ontologies
Data Science and Big Data
Recognition of activities in intelligent environments
Quality assessment systems
Group decision-making systems
Intelligent techniques for the analysis of scientific and technological information


Representative publications

30 Years of Intelligence Models in Management and Business: A Bibliometric Review J.R. López-Robles, J.R. Otegi-Olaso, I. Porto-Gómez, M.J. Cobo International Journal of Information Management   (2019) Vol: 48. Pgs: 22-38 10.1016/j.ijinfomgt.2019.01.013
Game-Based Virtual Reality Interventions to Improve Upper Limb Motor Function and Quality of Life After Stroke: Systematic Review and Meta-analysis P. Dominguez-Tellez, J.A. Moral-Munoz, A. Salazar, E. Casado-Fernandez, D. Lucena-Anton Games for Health Journal. 2020. Vol:9. Num: 1. Pgs. 1-10 10.1089/g4h.2019.0043
On Dynamic Consensus Processes in Group Decision Making Problems I.J. Perez, F.J. Cabrerizo, S. Alonso, Y. C. Dong, F. Chiclana, E. Herrera-Viedma Information Sciences. 2018. Vol: 459. Pgs. 20-35 10.1016/j.ins.2018.05.017
Optimizing Hearthstone agents using an evolutionary algorithm P. García-Sánchez, Alberto Tonda, Antonio J. Fernández-Leiva, Carlos Cotta Knowledge-Based Systems. 2020. Vol: 188 10.1016/j.knosys.2019.105032  
SciMAT: A new Science Mapping Analysis Software Tool M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera Journal of the American Society for Information Science and Technology. 2012. Vol: 63. Num: 8. Pgs. 1609-1630 10.1002/asi.22688

Link to extended list of publication

Technology Expertise

The intellSOK research group is a multidisciplinary group made up of professors from various Andalusian universities and based at the University of Cadiz. It currently has 7 PhD with experience in different scientific fields, such as computer science and health, belonging to the Departments of Computer Science and Nursing and Physiotherapy.
The group was born with a transversal vision of science, focusing both on theoretical progress and on the transfer and application of the techniques developed in social areas and health sciences, among others.

Thus, the main missions of the group are, on the one hand, to deepen the development of techniques, models and intelligent algorithms based on computer science, artificial intelligence and complex systems, and on the other hand, the development and clinical validation of systems that include these techniques applied to the resolution of health-related problems.

Finally, given the applied vision of the group, new intelligent techniques will be used to study social branches such as bibliometrics (science of science), e-health, social networks video games, and precision agriculture, among others. To this end, the use of data science, big data, group decision-making systems, data mining and bio-inspired algorithms are proposed.