Knowledge representation tool for cognitiveprocesses modeling

Caballero Hernandez, Ruth and Luna Serrano, Marta and Cáceres Taladriz, César and García Molina, A. and García Rudolph, A. and López Blázquez, R. and Toig Rovira, T. and Tormos Muñoz, Josep M. and Gómez Aguilera, Enrique J. (2013). Knowledge representation tool for cognitiveprocesses modeling. In: "International Conference on Recent Advances in Neurorehabilitation (ICRAN 2013)", 07/03/2013 - 08/03/2013, Valencia, Spain. pp. 78-81.

Description

Title: Knowledge representation tool for cognitiveprocesses modeling
Author/s:
  • Caballero Hernandez, Ruth
  • Luna Serrano, Marta
  • Cáceres Taladriz, César
  • García Molina, A.
  • García Rudolph, A.
  • López Blázquez, R.
  • Toig Rovira, T.
  • Tormos Muñoz, Josep M.
  • Gómez Aguilera, Enrique J.
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on Recent Advances in Neurorehabilitation (ICRAN 2013)
Event Dates: 07/03/2013 - 08/03/2013
Event Location: Valencia, Spain
Title of Book: International Conference on Recent Advances in Neurorehabilitation (ICRAN 2013)
Date: 2013
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In the last decades, neuropsychological theories tend to consider cognitive functions as a result of the whole brainwork and not as individual local areas of its cortex. Studies based on neuroimaging techniques have increased in the last years, promoting an exponential growth of the body of knowledge about relations between cognitive functions and brain structures [1]. However, so fast evolution make complicated to integrate them in verifiable theories and, even more, translated in to cognitive rehabilitation. The aim of this research work is to develop a cognitive process-modeling tool. The purpose of this system is, in the first term, to represent multidimensional data, from structural and functional connectivity, neuroimaging, data from lesion studies and derived data from clinical intervention [2][3]. This will allow to identify consolidated knowledge, hypothesis, experimental designs, new data from ongoing studies and emerging results from clinical interventions. In the second term, we pursuit to use Artificial Intelligence to assist in decision making allowing to advance towards evidence based and personalized treatments in cognitive rehabilitation. This work presents the knowledge base design of the knowledge representation tool. It is compound of two different taxonomies (structure and function) and a set of tags linking both taxonomies at different levels of structural and functional organization. The remainder of the abstract is organized as follows: Section 2 presents the web application used for gathering necessary information for generating the knowledge base, Section 3 describes knowledge base structure and finally Section 4 expounds reached conclusions.

More information

Item ID: 26109
DC Identifier: http://oa.upm.es/26109/
OAI Identifier: oai:oa.upm.es:26109
Deposited by: Memoria Investigacion
Deposited on: 24 May 2014 10:45
Last Modified: 22 Sep 2014 11:39
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