Giseli Rabello Lopes
Federal University of Rio de Janeiro
55 Papers
270 Citations
Giseli Rabello Lopes is an academic researcher from Federal University of Rio de Janeiro. The author has contributed to research in topics: Linked data & Computer science. The author has an hindex of 10, co-authored 49 publications. Previous affiliations of Giseli Rabello Lopes include Pontifical Catholic University of Rio de Janeiro & Universidade Federal do Rio Grande do Sul.
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Papers
Collaboration recommendation on academic social networks
Giseli Rabello Lopes,Mirella M. Moro,Leandro Krug Wives,José Palazzo Moreira de Oliveira +3 more
- 01 Nov 2010
TL;DR: The architecture for such approach and the metrics involved in recommending collaborations on the context of academic Social Networks are introduced and an initial case study is presented to validate the approach.
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Using link semantics to recommend collaborations in academic social networks
Michele A. Brandão,Mirella M. Moro,Giseli Rabello Lopes,José Palazzo Moreira de Oliveira +3 more
- 13 May 2013
TL;DR: This work proposes two new metrics for recommending new collaborations or intensification of existing ones, each of which considers a social principle (homophily and proximity) that is relevant within the academic context.
57
Identifying candidate datasets for data interlinking
Luiz André P. Paes Leme,Giseli Rabello Lopes,Bernardo Pereira Nunes,Marco A. Casanova,Stefan Dietze +4 more
- 08 Jul 2013
TL;DR: This paper proposes a technique based on probabilistic classifiers that, given a datasets S to be published and a set T of known published datasets, ranks each Ti ∈ T according to the probability that links between S and Ti can be found by inspecting the most relevant datasets.
Two Approaches to the Dataset Interlinking Recommendation Problem
Giseli Rabello Lopes,Luiz André P. Paes Leme,Bernardo Pereira Nunes,Marco A. Casanova,Stefan Dietze +4 more
- 12 Oct 2014
TL;DR: Two approaches to address the dataset interlinking recommendation problem, respectively based on Bayesian classifiers and on Social Network Analysis techniques are compared, which define rank score functions that explore the vocabularies, classes and properties that the datasets use, in addition to the known dataset links.
A personalized recommender system for digital libraries
Giseli Rabello Lopes,Maria Aparecida M. Souto,Leandro Krug Wives,José Palazzo Moreira de Oliveira +3 more
- 26 Oct 2008
TL;DR: The presentation and discussion of the extended experimental evaluation results obtained with a Web prototype of a Recommender System for scientific articles in digital libraries are presented.
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