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Authors: Sérgio Antonio Andrade Freitas ; Edna Dias Canedo ; Edgard Costa Oliveira and Dionlan Alves de Jesus

Affiliation: University of Brasília (UnB), Brazil

Keyword(s): Semantic Web, Curriculum Lattes, Algorithm, Similarity.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Software Engineering ; Symbolic Systems

Abstract: Using inference machines is one resource used to assist the decision-making process in data processing and interpretation, which allows attributing knowledge to a set of information items. In this sense this work implements a similarity algorithm that calculates the percentage of adherence found amongst academic profiles at the University of Bras´ılia (UnB). The domain base use to provide the data for the work is that of the Lattes platform. This platform holds data on the scientific production of registered university scholars. The calculation provides a rating of the individuals and the approximations between their academic production. This is achieved by taking into account a base profile which is compared to one or more destination profiles. To run this procedure, the data held in each Curriculum Lattes is extracted, and an ontology of concepts is created that holds the data on the production to supply the information needed by the comparison task. These comparisons are made in each term of the name, for all the bibliographical production for both profiles compared. Each term can have a set of synonyms that are also taken into consideration in the comparison. And at the end the results are compiled and presented in a spreadsheet that holds the summaries for all adherence percentages that were compared. Applying the algorithm determines which people in a set have more or less proximity and a semantic link with the academic output when compared to other individuals. And that produces a similarity percentage. (More)

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Paper citation in several formats:
Freitas, S.; Dias Canedo, E.; Costa Oliveira, E. and Alves de Jesus, D. (2018). Similarities Building a Network between Researchers based on the Curriculum Lattes Platform. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 203-214. DOI: 10.5220/0006664102030214

@conference{iceis18,
author={Sérgio Antonio Andrade Freitas. and Edna {Dias Canedo}. and Edgard {Costa Oliveira}. and Dionlan {Alves de Jesus}.},
title={Similarities Building a Network between Researchers based on the Curriculum Lattes Platform},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2018},
pages={203-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006664102030214},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Similarities Building a Network between Researchers based on the Curriculum Lattes Platform
SN - 978-989-758-298-1
IS - 2184-4992
AU - Freitas, S.
AU - Dias Canedo, E.
AU - Costa Oliveira, E.
AU - Alves de Jesus, D.
PY - 2018
SP - 203
EP - 214
DO - 10.5220/0006664102030214
PB - SciTePress