Alcides Lopes

Orcid: 0000-0003-0622-6847

Affiliations:
  • Federal University of Rio Grande do Sul, Institute of Informatics, Porto Alegre, Brazil


According to our database1, Alcides Lopes authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

2023
Using terms and informal definitions to classify domain entities into top-level ontology concepts: An approach based on language models.
Knowl. Based Syst., April, 2023

Disjointness axioms between top-level ontology concepts as a heuristic for word similarity evaluation.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

On the Use of ChatGPT for Classifying Domain Terms According to Upper Ontologies.
Proceedings of the Advances in Conceptual Modeling, 2023

2022
Predicting the top-level ontological concepts of domain entities using word embeddings, informal definitions, and deep learning.
Expert Syst. Appl., 2022

Learning Domain Ontologies Based on Deep Learning e Top-Level Ontologies.
Proceedings of the XV Seminar on Ontology Research in Brazil (ONTOBRAS 2022) and VI Doctoral and Masters Consortium on Ontologies (WTDO 2022), 2022

2021
Semantic Similarity and Relatedness Evaluation Based on Ontological Meta-Properties.
Proceedings of the Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge co-located with the 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), 2021

2020
What Geologists Talk About: Towards a Frequency-Based Ontological Analysis of Petroleum Domain Terms.
Proceedings of the XIII Seminar on Ontology Research in Brazil and IV Doctoral and Masters Consortium on Ontologies (ONTOBRAS 2020), 2020

2019
An Efficient Approach for Semantic Relatedness Evaluation Based on Semantic Neighborhood.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
A Case-Based Reasoning and Clustering Framework for the Development of Intelligent Agents in Simulation Systems.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018


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