Application of inferences in ontological modeling

Marcello Peixoto Bax; Cristiano Geraldo Teixeira Silva

doi:10.1590/1808-5245.29.129483

Authors

Marcello Peixoto Bax Universidade Federal de Minas Gerais
Cristiano Geraldo Teixeira Silva Pontifícia Universidade Católica de Minas Gerais https://orcid.org/0000-0001-5010-3081

DOI:

https://doi.org/10.1590/1808-5245.29.129483

Keywords:

inference, domain analysis, semantic interoperability

Abstract

Data modeling supported by ontologies favors the organization of knowledge and the use of inference machines to obtain new knowledge about data and support expert decision-making. However, it is necessary to discuss the techniques to promote inferences and explore the semantics between the data. The research problem is to verify how the use of semantic technologies would represent an advantageous alternative, in relation to the state of the art, to analyze, systematize and organize the information of a domain, accelerating a decision-making process. It presents the concepts behind the development of an artifact that employs semantic technologies and a domain ontology to integrate data from Building Information Modeling projects and other tabular data external to the project to automate Leadership in Energy certification tasks and Environmental Design. To demonstrate the artifact, data is semantically annotated and a knowledge graph is generated in Resource Description Framework format. Once integrated into the graph, inferences are applied to evaluate the certification criteria through queries. The results suggest that the application of these technologies promotes semantic extension, facilitates integration with other knowledge bases, and conceptually organizes data to better retrieve information and generate new knowledge.

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Author Biographies

Marcello Peixoto Bax, Universidade Federal de Minas Gerais

Professor titular do Programa de Pós-Graduação em Gestão e Organização do Conhecimento (PPG-GOC, Nível 5 CAPES) da Escola de Ciência da Informação - ECI, Universidade Federal de Minas Gerais (UFMG). Foi pesquisador visitante (bolsa CAPES) no Tetherless World Constellation Lab, no Rensselaer Polytechnic Institute (RPI) (2018) e no Grupo de Informatica Biomédica (Ibime) do Instituto ITACA da Universidad Politécnica de Valencia (2015). Doutor em Ciência da Computação pela Universidade de Montpellier II, França. Possui DEA (Diploma de Estudos Aprofundados) em Matemática e Computação e DESS (Diploma de Estudos Superiores Especializados) em Informática pela Université d'Aix Marseille II, França. Bacharel em Ciência da Computação pela Pontifícia Universidade Católica de Minas Gerais (PUC-MG).

Cristiano Geraldo Teixeira Silva, Pontifícia Universidade Católica de Minas Gerais

Possui Graduação em Ciência da Computação pela Universidade Federal de Ouro Preto (1999), Mestrado em Tecnologia pelo Centro Federal de Educação Tecnológica de Minas Gerais (2003) e Doutorando em Gestão e Organização do Conhecimento na UFMG. Professor da PUC Minas e Conselheiro do Grupo Linkcom.

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