Banca de DEFESA: ROGERS RICARDO DE AVELAR CARVALHO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : ROGERS RICARDO DE AVELAR CARVALHO
DATE: 17/12/2021
TIME: 15:00
LOCAL: Vídeo conferência
TITLE:

Bayesian Networks applied to Knowledge Base of a Never-Ending Learning System

KEY WORDS:

Machine Learning, Never-Ending Learning, Bayesian Networks

PAGES: 57
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUMMARY:

The first never-ending learning system described in the literature is called NELL (Never-Ending Language Learning). The main objective of the NELL system is to learn to read the web, getting better each day, in order to store the acquired knowledge in a growing and never-ending knowledge base. To help the NELL system in this learning task, this project proposes the application of Bayesian networks to make inferences in the NELL knowledge base, as well as to identify new semantic relations that can be inserted in the knowledge base. A dataset was built from information on the semantic relations existing in the knowledge base of the NELL system. The results found show that Bayesian networks induced by the DMBC and K2 learning algorithms can represent existing relationships and suggest new relationships to extend the initial ontology of NELL. The inferences made also indicate that the Bayesian networks induced by both algorithms are capable of discovering new information to be inserted in the NELL knowledge base.

BANKING MEMBERS:
Interno - 1985872 - EDIMILSON BATISTA DOS SANTOS
Interno - 2325597 - DIEGO ROBERTO COLOMBO DIAS
Externa à Instituição - LÚCIA HELENA DE MAGALHÃES