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Research Areas

  • Intelligent Agents

    In the research of intelligent agents working group has focused on three areas:architecture, development methodologies and applications of agents in networks andtelematic services. Besides working with agent architectures, the group has performed research and development activities with other models of knowledge-based systems, mainly expert systems.
     

  • Automatic Learning

    Early research on machine learning in artificial systems date back to the 1950's. Fromthe 80 start to develop practical applications of algorithms called "subsymbolic"(mainly Bayesian neural networks and systems) to problems of pattern recognitionand classification and the "symbolic" (induction of trees and rules) to knowledge acquisition for expert systems. In the 90 off with force what has been called 'data mining' application of learning algorithms and visualization for knowledge extractionin large databases. Our contributions in this field have also followed this path:
     

  • Developing fast, reliable and secure

    In this line of work, the group is researching and implementing methodologies andtechnologies that enable agile development of applications, including Web services, enhancing reliability and safety.
     

  • Linguistic engineering

    This field works in the development of tools for word processing in Spanish (ARIESprojects, CRATER, ATILA and accordion). These projects have developed:


    Lexical resources: ARIES platform, with more than 40,000 slogans in Spanish,covering more than 500,000 inflected forms.
    Tools: Libraries of tools for building applications. In particular, access and efficient management of large volumes lexical, morphological analyzers, taggers, parsers,etc.
    Applications: constructed from the available tools. These include applications forindexing and retrieval, spell checking, style checking, etc.


    These topics are collaborating with the Laboratory of Computational Linguistics at the Autonomous University of Madrid.

     

  • Educational Innovacin

    Educational Innovacin

    Further research of clever techniques to improve the quality of teaching-learningprocess has always been one of the basic objectives of this research group

     

  • Business intelligence

    In line technologies Business Intelligence (Business Intelligence, English), theresearch group focused on the development and use of tools and methodologies forintelligent analysis of large amounts of data available from the organizations with theaim of improving efficiency, processing facilitandoel reporting, information sharingand decision making.

    Intelligent Systems Group is involved in several projects that apply businessintelligence techniques, especially analysis and visualization of data based onOLAP and data mining techniques for intelligent data analysis of students and tracktheir learning process.

     

  • Expert Systems and Knowledge-Based Systems

    Expert Systems and Knowledge-Based Systems

    GSI activity began in 1986 when the "paradigm of knowledge" was taking its firstpractical results for real problem solving in engineering. Implementation plans were developed technology based systems knowledge to develop expert systems inseveral domains:

     

  • Sociotcnicos Systems

    Sociotcnicos Systems

    It has always been a major concern in the research group for the systemic approach, the technical complexity and a socio-technical view of information technology and these principles have been applied by the teachers of the group to his teaching and research.

     

  • Semantic Technologies

    Semantic Technologies

    The "semantic web" is being developed with the aim to define and link Web resources so that programs (agents) can interpret not only for presentation purposes but for automation, integration and reuse. This makes it possible to offer on the new network infrastructure and more efficient services. This requires accurately describe the resources and the relationships between them, ie formally represent the knowledge inherent in the domain that are a part. Work on knowledge representation, classic artificial intelligence, have derived the "ontology engineering", which deals with methodologies for the development of 'ontology' formal representations of concepts and relationships in a domain.

     
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