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Stefan Trausan-Matu

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Learner modeling cognitive and emotional profiles ... Content creation according to metadata standards for e-Learning like IMS, ARIADNE, SCORM, AICC ... – PowerPoint PPT presentation

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Title: Stefan Trausan-Matu


1
Stefan Trausan-Matu
  • Computer Science Department,Bucharest
    "Politehnica" University,
  • Human-Computer Interaction, Natural Language
    Processing, Introduction to Cognitive Science,
    Algorithm analysis
  • Romanian Academy Institute for Artificial
    IntelligenceROMANIA

2
Research software development
  • Computational Geometry for CAD of IC Layouts
  • Knowledge-Based Systems
  • Expert Systems 1985-1990, Intelligent Reverse
    Engineering 1992-1994, Intelligent Tutoring
    Systems 1994-2003, Ontologies and Semantic Web
    1998-2004
  • Computational (Statistical) Linguistics
  • Metaphor Understanding 2000-2004
  • Text mining 2002-2003
  • Discourse processing 2003-2004
  • HCI and e-Learning
  • Learner modeling cognitive and emotional
    profiles
  • Experiments with students at CS Dept. at
    Algorithms Course
  • Log (web browsing behavior) analysis

3
Current Research
  • Developing SINTEC, an intelligent and
    collaborative e-Learning environment
  • Language Understanding
  • Metaphors
  • Discourse Analysis
  • Philosophy and CS (Cognitive Science, Hermeneutic
    Computer Science)

4
Metaphor and discourse processing
  • Metaphors are beyond ontologies (stocks are very
    sensitive creatures)
  • The role of metaphors in understanding
  • Identification (acquisition) of metaphors and
    metonymies in texts and XML mark-up
  • Personalized usage of the metaphors
  • Metaphors imagery discourse dialog
  • Speech acts identification
  • Rhetorical schemas identification

5
SINTEC (2001-2004)
  • INFOSOC National Program Project
  • Collaborative tools for distance and distributed
    e-Learning at Bucharest Politehnica University
  • Web services technology
  • Content creation according to metadata standards
    for e-Learning like IMS, ARIADNE, SCORM, AICC
  • ITS technology (ontologies, rules, student
    modeling and inference)
  • Psychological (cognitive and emotional) and
    social aspects
  • Natural language processing
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