Semantic Web Mining - Math Forum

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21 Οκτ 2013 (πριν από 3 χρόνια και 11 μήνες)

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VMT Workshop, Philadelphia,
June, 9
-
11, 2004

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 Intelligence

ROMANIA



VMT Workshop, Philadelphia,
June, 9
-
11, 2004

2

R
esearch & 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


L
og
(web browsing behavior)
analysis



VMT Workshop, Philadelphia,
June, 9
-
11, 2004

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)

VMT Workshop, Philadelphia,
June, 9
-
11, 2004

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
t
exts

and

XML mark
-
up

Personalized usage of the metaphors

Metaphors


imagery


discourse


dialog

Speech acts identification

Rhetorical schemas identification



VMT Workshop, Philadelphia,
June, 9
-
11, 2004

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