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Outlier detection with ontology-driven fault contextualization in the Industry 4.0

Autor: Dionei Miodutzki, Cesar Tacla, Luiz Gomes-Jr

Publikováno v: Anais do XXXVII Simpósio Brasileiro de Banco de Dados (SBBD 2022).

In the industrial sector, outlier detection makes it possible to quickly identify equipment failures. The evolution of Industry 4.0 is bringing challenges previously uncommon in the area. The large number of data constantly generated represents a pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b53160fee4d9a30376dad5cf1f19ea7
https://doi.org/10.5753/sbbd.2022.224309

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A Method for Collaborative Argumentation in Merging Individual Ontologies

Autor: Hauagge Dall Agnol, Josiane Michalak, Cesar Tacla

Publikováno v: JUCS-Journal of Universal Computer Science 19(12): 1808-1833
ResearcherID

This paper proposes a framework of the negotiation process for solving divergences in the collaborative ontology development. Such framework is obtained through the use of philosophical principles deriving from the theories of essence, identity, unit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f650d5bda4ec97ce1e9b7a8fdf6c916
https://doi.org/10.3217/jucs-019-12-1808

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Using Embodied Conversational Assistants to Interface Users with Multi-Agent Based CSCW Applications: The WebAnima Agent

Autor: Paraiso, Ec, Cesar Tacla

Publikováno v: JUCS-Journal of Universal Computer Science 15(9): 1991-2010
Scopus-Elsevier
ResearcherID

We have been using personal assistants (PA) coupled with multi-agent systems (MASs) in several CSCW applications. Since we are considering professional environments, where users have many tasks to perform, and where users are using several different

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbc2ba11c8ff4d460a1989340c44dc38
https://doi.org/10.3217/jucs-015-09-1991

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