Research

Brief description of the research I have done

2014-2018

I’m focused on assisting lecturers and student to find relevant courseware for learning goals. To meet this challenge, I’m investigating techniques to extract information of courseware and how to use graphs algorithms to analyze and highlight relationships among theses contents.

2012-2014

Database systems are becoming increasingly popular in the scientific community to support data exploration. In this scenario, users may not have the necessary knowledge about the domain of the database or how to formulate SQL queries to analyze the data. To solve this problem, we developed a study on the most recent techniques for query recommendation to improve them in such a manner that the user can receive better recommendations. In this proposal we discuss the main challenges of query recommendation systems and how clustering users can improve recommendations. Preliminary experimental results using real user query logs show that our study can generate effective query recommendations.

2010-2011

To simulate query answering in Peer Data Management System (PDMSs), simulators need to associate a database schema to each peer in the overlay network. Finding or creating a high number of database schemas can be a time consuming and tendentious task. This work proposes an automatic process to generate multiple synthetic database schemas with semantically coherent variations of a given base schema. The schemas are obtained through applying different types of modifications to subsets of the base schema. Our experimental validation has shown that the proposed method is able to produce random schemas that can be used in realistic simulations. Keywords: Synthetic Database schema; Ontology; PDMS Simulation; Random