Marcelo Tibau

Abstract: This paper presents an exploratory search model capable of assisting the visualization of search patterns and clarifying best practices associated to users’ decision-making process, with implications in areas related to information retrieval, humancomputer interaction, Web searching and educational technology. The Exploratory Search Knowledge-Intensive Process model considers tasks and search activities as part of a chain of actions that help clarify the reasons why a subject is searched. It also supports the visualization on how the information retrieved is used to define decision criteria about which data is worth extracting, to draw inferences, and to create a shortcut to understanding.

Marcelo Tibau, Sean W. M. Siqueira, Fernanda Baião and Bernardo Pereira Nunes. 2018. Exploratory Search as a Knowledge-intensive Process. Euro American Conference on Telematics and Information Systems (EATIS ’18), November 12–15, 2018, Fortaleza, Brazil, 8 pages. https://doi.org/10.1145/3293614.3293618

Abstract: Classifying content on the Web has been a common subject of research, since the amount of available data on the Web, especially in text format, grows every day. In this paper it is proposed a correlation index to measure how close a classification system based on Wikipedia categorization is of a service provided by Watson IBM that has the same purpose: text and resourceclassification on the Web.

Almeida, Rubia; Siqueira, Sean W.M.; Tibau, Marcelo; Queiroz, Jackson. A Correlation Index Between Two Different Text and Web Resource Classification Systems. EATIS ’18 Proceedings of the Euro American Conference on Telematics and Information Systems. Article No. 43. Fortaleza, Brazil — November 12 – 15, 2018. ACM New York, NY, USA ©2018 https://www.doi.org/10.1145/3293614.3293652