Cláudio Duque
Universidade de Brasília

Towards Knowledge-Based Decision Support System using Propositional Analysis
and Rhetorical Structure Theory

Dia 18 de Maio, 14h, INESC-ID sala 020

# Summary

The project’s leading objective is to develop a natural language interface for
knowledge-based decision support system (KBDSS) using rhetorical structure
theory (RST) and propositional analysis. KBDSS is a system that provides
specialized expertise (problem-solving) stored as facts, rules, procedures, or
in similar structures that can be directly accessed by the user. The idea is
to develop an independent module that, based in IRS collections’ texts,
generates questions in natural language to help users to find the relevant
information in the system. It is a research project basically, but not only,
in fields of linguistics, computational linguistics, artificial intelligence,
information retrieval, and information science.

# Bio

Cláudio Duque holds a bachelor’s degree in Modern Languages in Portuguese and
German (Federal University of Minas Gerais, 1994), a Masters degree in
Linguistic Studies, Psycholinguistics (Federal University of Minas Gerais,
1998), sandwich doctorate at the Angewandte Sprachwissenschaft und
Computerlinguist – Justus-Liebig-Universität Giessen (2004) and doctor degree
in Information Production and Management (Federal University of Minas Gerais,
2005). He is currently coordinator of the research group “Research Expert
Group for Intelligent Information in Multimodal Environment using Natural
Language Technologies and Ontologies” (REGIIMENTO), academic coordinator of
the course of Archivology (2016/18), Adjunct professor of the Faculty of
Information Science of the University of Brasilia (FCI-UnB) and permanent
member of the Graduate Program in Information Science (PPGCINF-UNB). He has
been a Visiting Professor at the University of Mannheim in the Data and Web
Science Group in the winter semester 2013/2014. He has experience in
Linguistics, with emphasis on Reading and Writing, works basically with the
following subjects: Information architecture, information retrieval systems,
ontology, computational linguistics, intelligent systems and semantic web.