Estruturando o Conhecimento sobre TEA: Uma Ontologia para Apoiar a Rede de Cuidados de Crianças Autistas com Base nos MSD Manuals e DSM-5
Resumo
O Transtorno do Espectro Autista (TEA) é caracterizado por déficits persistentes na comunicação e interação social, e presença de comportamentos restritivos e repetitivos segundo o DSM-5. Os manuais diagnósticos possuem linguagem técnica pouco acessível. Esta pesquisa propõe uma ontologia para representar os conceitos do TEA e promover maior compreensão.Foi desenvolvido um Documento de Especificação de Requisitos da Ontologia, com modelagem em OntoUML, e operacionalização em OWL. A avaliação ocorreu por meio de perguntas de competencia e inferências automáticas. O objetivo é apoiar familiares, professores e cuidadores no entendimento do TEA e no processo diagnóstico.
Palavras-chave:
OntoUML, Ontologia, OWL, Diagnóstico, DSM-5, MSD, Autismo, TEA
Referências
Almeida, J. P. A., Falbo, R. A., and Guizzardi, G. (2019). Events as entities in ontologydriven conceptual modeling. In International Conference on Conceptual Modeling, pages 469–483. Springer.
APA, A. P. A. (2013). Diagnostic and Statistical Manual of Mental Disorders: DSM-5. American Psychiatric Association, Arlington, VA, 5th edition.
DeBellis, M., Dutta, N., Gino, J., and Balaji, A. (2024). Integrating ontologies and large language models to implement retrieval augmented generation. Applied Ontology, 19(4):389–407.
Falbo, R. d. A., Menezes, C. S. d., and Rocha, A. R. (1998). A systematic approach for building ontologies. In IBERAMIA, volume 1484, pages 349–360. Springer.
Grandin, T. (2015). O cérebro autista: pensando através do espectro. Editora Record.
Guarino, N. (1998). Formal ontology in information systems: Proceedings of the first international conference (FOIS’98), June 6-8, Trento, Italy, volume 46. IOS press.
Guizzardi, G. (2005). Ontological foundations for structural conceptual models. Phd thesis - research ut, graduation ut, University of Twente.
Guizzardi, G., Fonseca, C. M., Almeida, J. P. A., Sales, T. P., Benevides, A. B., and Porello, D. (2021). Types and taxonomic structures in conceptual modeling: a novel ontological theory and engineering support. Data & Knowledge Engineering, 134:101891.
Hassan, M. M. and Mokhtar, H. M. (2022). Autismont: an ontology-driven decision support for autism diagnosis and treatment. Egyptian informatics journal, 23(1):95–103.
Lima, J., Oliveira, V., Silva, P., and Alves, S. (2024). Understanding asd: Design and development of a domain ontology to assist professionals in understanding autistic children based on dsm-5. In Proceedings of the Joint Ontology Workshops (JOWO) - Episode X: The Tukker Zomer of Ontology, and satellite events co-located with the 14th International Conference on Formal Ontology in Information Systems (FOIS 2024).
Merck & Co. (2022). Manual msd – versão para profissionais de saúde. Acesso em: 20 jun. 2025.
Shaw, K. A. (2025). Prevalence and early identification of autism spectrum disorder among children aged 4 and 8 years—autism and developmental disabilities monitoring network, 16 sites, united states, 2022. MMWR. Surveillance Summaries, 74.
Silva, A. B. B., Gaiato, M. B., and Reveles, L. T. (2012). Mundo singular. Rio de janeiro: Objetiva.
Silva, S. D., Neto, F. M. M., de Lima, R. M., de Macêdo, F. T., Santo, J. R. S., and Silva, W. L. N. (2017). Knowledgemon hunter: a serious game with geolocation to support learning of children with autism and learning difficulties. In 2017 19th symposium on virtual and augmented reality (SVR), pages 293–296. IEEE.
Siqueira, B. (2025). Censo 2022 identifica 2,4 milhões de pessoas diagnosticadas com autismo no Brasil. [link]. Acesso em: 22 jun. 2025.
Sowa, J. F. (1984). Conceptual structures: information processing in mind and machine. Addison-Wesley Longman Publishing Co., Inc.
Venkatesan, K., Nelaturu, S., Vullamparthi, A. J., and Rao, S. (2013). Hybrid ontology based e-learning expert system for children with autism. In 2013 International Conference of Information and Communication Technology (ICoICT), pages 93–98. IEEE.
Waltz, D. L. (2014). The state of the art in natural-language understanding. Strategies for natural language processing, pages 3–32.
APA, A. P. A. (2013). Diagnostic and Statistical Manual of Mental Disorders: DSM-5. American Psychiatric Association, Arlington, VA, 5th edition.
DeBellis, M., Dutta, N., Gino, J., and Balaji, A. (2024). Integrating ontologies and large language models to implement retrieval augmented generation. Applied Ontology, 19(4):389–407.
Falbo, R. d. A., Menezes, C. S. d., and Rocha, A. R. (1998). A systematic approach for building ontologies. In IBERAMIA, volume 1484, pages 349–360. Springer.
Grandin, T. (2015). O cérebro autista: pensando através do espectro. Editora Record.
Guarino, N. (1998). Formal ontology in information systems: Proceedings of the first international conference (FOIS’98), June 6-8, Trento, Italy, volume 46. IOS press.
Guizzardi, G. (2005). Ontological foundations for structural conceptual models. Phd thesis - research ut, graduation ut, University of Twente.
Guizzardi, G., Fonseca, C. M., Almeida, J. P. A., Sales, T. P., Benevides, A. B., and Porello, D. (2021). Types and taxonomic structures in conceptual modeling: a novel ontological theory and engineering support. Data & Knowledge Engineering, 134:101891.
Hassan, M. M. and Mokhtar, H. M. (2022). Autismont: an ontology-driven decision support for autism diagnosis and treatment. Egyptian informatics journal, 23(1):95–103.
Lima, J., Oliveira, V., Silva, P., and Alves, S. (2024). Understanding asd: Design and development of a domain ontology to assist professionals in understanding autistic children based on dsm-5. In Proceedings of the Joint Ontology Workshops (JOWO) - Episode X: The Tukker Zomer of Ontology, and satellite events co-located with the 14th International Conference on Formal Ontology in Information Systems (FOIS 2024).
Merck & Co. (2022). Manual msd – versão para profissionais de saúde. Acesso em: 20 jun. 2025.
Shaw, K. A. (2025). Prevalence and early identification of autism spectrum disorder among children aged 4 and 8 years—autism and developmental disabilities monitoring network, 16 sites, united states, 2022. MMWR. Surveillance Summaries, 74.
Silva, A. B. B., Gaiato, M. B., and Reveles, L. T. (2012). Mundo singular. Rio de janeiro: Objetiva.
Silva, S. D., Neto, F. M. M., de Lima, R. M., de Macêdo, F. T., Santo, J. R. S., and Silva, W. L. N. (2017). Knowledgemon hunter: a serious game with geolocation to support learning of children with autism and learning difficulties. In 2017 19th symposium on virtual and augmented reality (SVR), pages 293–296. IEEE.
Siqueira, B. (2025). Censo 2022 identifica 2,4 milhões de pessoas diagnosticadas com autismo no Brasil. [link]. Acesso em: 22 jun. 2025.
Sowa, J. F. (1984). Conceptual structures: information processing in mind and machine. Addison-Wesley Longman Publishing Co., Inc.
Venkatesan, K., Nelaturu, S., Vullamparthi, A. J., and Rao, S. (2013). Hybrid ontology based e-learning expert system for children with autism. In 2013 International Conference of Information and Communication Technology (ICoICT), pages 93–98. IEEE.
Waltz, D. L. (2014). The state of the art in natural-language understanding. Strategies for natural language processing, pages 3–32.
Publicado
29/09/2025
Como Citar
LIMA, Jéssica Ruana Costa; OLIVEIRA, Victor Benoiston Jales de; ALVES FILHO, Sebastião Emidio; SILVA, Patrício de Alencar.
Estruturando o Conhecimento sobre TEA: Uma Ontologia para Apoiar a Rede de Cuidados de Crianças Autistas com Base nos MSD Manuals e DSM-5. In: LLMS, ANÁLISE DE GRAFOS E ONTOLOGIAS (LAGO) - SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 40. , 2025, Fortaleza/CE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 393-403.
DOI: https://doi.org/10.5753/sbbd_estendido.2025.247985.
