Moisés Lima Dutra
Universidade Federal de Santa Catarina
54 Papers
188 Citations
Moisés Lima Dutra is an academic researcher from Universidade Federal de Santa Catarina. The author has contributed to research in topics: Computer science & Ontology (information science). The author has an hindex of 7, co-authored 48 publications. Previous affiliations of Moisés Lima Dutra include University of Lyon.
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Papers
Value Creation in Big Data Scenarios: A Literature Survey
Leonel Furtado,Moisés Lima Dutra,Douglas Dyllon Jeronimo de Macedo +2 more
- 03 Apr 2017
TL;DR: A survey of the creation of value in Big Data environments, which relied in a qualitative method approach of bibliographical, exploratory and descriptive nature, and aims to compare the preliminary results to the typical perception of value creation, found in the literature.
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A roadmap toward the automatic composition of systematic literature reviews
Eugênio Monteiro da Silva Júnior,Moisés Lima Dutra +1 more
- 27 Jul 2021
TL;DR: An overview of existing artificial intelligence tools to produce systematic literature reviews and a general framework resulting from combining these techniques to highlight the challenges and possibilities currently existing in this research area are presented.
A Generic and Synchronous Ontology-based Architecture for Collaborative Design
TL;DR: An architecture where collaborative design is synchronously and generically achieved, where particular representation models are transformed into ontology instances and merged together in order to accomplish the final product design is presented.
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An Application Domain-Based Taxonomy for IoT Sensors.
Vitor Rozsa,Marta Denisczwicz,Moisés Lima Dutra,Parisa Ghodous,Catarina Ferreira da Silva,Nader Moayeri,Frédérique Biennier,Nicolas Figay +7 more
- 03 Oct 2016
TL;DR: This paper presents the identification and categorization of the main sensors used these days to build IoT applications, arranged in a taxonomy of application domains and sensor measurement types, in the hope it can provide IoT designers, developers, and researchers with a snapshot of how sensors are currently used in the IoT application domains.
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Toward an efficient healthcare CloudIoT architecture by using a game theory approach
Douglas Dyllon Jeronimo de Macedo,Gustavo Medeiros de Araújo,Moisés Lima Dutra,Silvana Toriani Dutra,Álvaro Guillermo Rojas Lezana +4 more
TL;DR: This article presents an efficient and effective CloudIoT-based healthcare architecture for ambient assisted living environments using a game theory approach (by means of a stochastic search algorithm) to improve efficiency and latency of the CloudIioT network.
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