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

Seminar | 020 | 14:00

Cláudio Duque,

Universidade de Brasília

Abstract:

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.

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