An Ontological Characterization for SBSI Research Topics

• Saulo Bruno Calixto Santos UFJF
• Victor Ströele UFJF
• Regina Braga UFJF
• Célia Ghedini Ralha UnB / UFBA

DOI: https://doi.org/10.5753/sbsi.2025.246617

Resumo

Context: The Brazilian Information Systems (IS) community has grown in complexity involving different research topics. Characterizing the IS community research topics is vital to bringing knowledge to advance IS research maturity. Problem: The complexity, diversity, and plurality of research topics in IS present a challenging task involving collecting adequate data, analyzing, and exploring different techniques to understand the evolution in the area. Solution: Using research data published by the Brazilian Symposium on Information Systems (Simpósio Brasileiro de Sistemas de Informação - SBSI), we provide the NetO+ ontology to enable automated reasoning about SBSI research topics characterization. IS Theory: This study uses the language action perspective, highlighting what people do while communicating and how they create scientific reality using language. We focus on the SBSI research topics with automatic characterization using the Large Language Model (LLM) and ontology techniques. Method: We analyzed the technological research topics employing semantic analysis using an LLM to identify research topics with keywords related to articles’ titles. Also, the ACM taxonomy CCS Concepts in the IS branch were allied to ontological inferences. Summarization of Results: The findings with LLM to extract keywords from articles, and the ontology inference allows us to find research topics. This approach provides an overview of SBSI research, highlighting the topics’ evolution and their interconnections with ACM taxonomy. Contributions and Impacts on the IS area: This work provides IS research topics to bring knowledge enabling decision-making for sustainable community growth based on the socio-technical approach concerning excellence in IS conception, development, and maintainability.

Palavras-chave: Ontology, LLM, SBSI Research Topics

Referências

Renata Araujo, Célia Ralha, Alexandre Graeml, and Alexandre Cidral. 2015. A Comunidade de Pesquisa em Sistemas de Informação no Brasil na perspectiva do Simpósio Brasileiro de Sistemas de Informação. iSys - Brazilian Journal of Information Systems 8, 1 (Jul. 2015), 5–17. DOI: 10.5753/isys.2015.277

Luiz Paulo Carvalho, Silas P. Lima Filho, Michele A. Brandão, Élton Carneiro Marinho, Mônica Ferreira da Silva, Jonice Oliveira, and Flávia Maria Santoro. 2024. Celebrating two decades of SBSI (2004 to 2023): A Comprehensive Descriptive and Meta-Scientific Analysis. In Proceedings of the 20th Brazilian Symposium on Information Systems, SBSI 2024, Juiz de Fora, Brazil, May 20-23, 2024, Ronney Moreira de Castro, José Maria N. David, Johnny Cardoso Marques, Tadeu Moreira de Classe, Victor Ströele, and Williamson Alison Freitas Silva (Eds.). ACM, Juiz de Fora, MG, Brasil, 29:1–29:10. DOI: 10.1145/3658271.3658300

Devendra Singh Chaplot and Ruslan Salakhutdinov. 2018. Knowledge-basedWord Sense Disambiguation using Topic Models. Proceedings of the AAAI Conference on Artificial Intelligence 32, 1 (2018), 1–8. DOI: 10.1609/aaai.v32i1.12027

Huajun Chen. 2024. Large Knowledge Model: Perspectives and Challenges. Data Intelligence 6, 3 (aug 2024), 587–620. DOI: 10.3724/2096-7004.di.2024.0001

Gohar Rehman Chughtai, Jia Lee, Mahnoor Shahzadi, Asif Kabir, and Muhammad Arshad Shehzad Hassan. 2019. An efficient ontology-based topic-specific article recommendation model for best-fit reviewers. Scientometrics 122, 1 (2019), 249–265. DOI: 10.1007/s11192-019-03261-2

Valdemar Confort, Kate Revoredo, Fernanda Baião, and Flávia Santoro. 2015. Extração de Ontologias a partir de Histórias: um estudo exploratório em storytelling. In Anais do XI Simpósio Brasileiro de Sistemas de Informação (Goiânia). SBC, Porto Alegre, RS, Brasil, 243–250. DOI: 10.5753/sbsi.2015.5823

Edvaldo de Oliveira and Vania Dias. 2012. Redes sociais do SBSI e o corte de vertices como base para identificar atores importantes na coesão de grupos de pesquisa. In Anais do VIII Simpósio Brasileiro de Sistemas de Informação (São Paulo). SBC, Porto Alegre, RS, Brasil, 204–215. DOI: 10.5753/sbsi.2012.14406

Giancarlo Guizzardi, Alessander Bottes Benevides, Claudemir M. Fonseca, Jo ao Paulo A. Almeida, Tiago Prince Sales, and Daniele Porello. 2022. Ufo: Unified Foundational Ontology. Applied ontology 1, 17 (2022), 167–210. DOI: 10.3233/ao-210256

Gilson Helfer, Adilson Costa, Rodrigo Bavaresco, and Jorge Barbosa. 2021. Tellus-Onto: uma ontologia para classificação e inferência de solos na agricultura de precisão. In Anais do XVII Simpósio Brasileiro de Sistemas de Informação (SBSI) (Uberlândia). SBC, Porto Alegre, RS, Brasil, 1–7. [link]

Vitor A.C. Horta, Victor Ströele, Jonice Oliveira, Regina Braga, José Maria N. David, and Fernanda Campos. 2022. Detecting topic-based communities in social networks: A study in a real software development network. Journal of Web Semantics 74 (2022), 100739. DOI: 10.1016/j.websem.2022.100739

Zhongjian Hu, Peng Yang, Yuanshuang Jiang, and Zijian Bai. 2024. Prompting large language model with context and pre-answer for knowledge-based VQA. Pattern Recognition 151 (2024), 110399. DOI: 10.1016/j.patcog.2024.110399

İlknur Karadeniz and Arzucan Özgür. 2019. Linking entities through an ontology using word embeddings and syntactic re-ranking. BMC Bioinformatics 20, 1 (2019), 156. DOI: 10.1186/s12859-019-2678-8

Lucas Correa Lemos, Célia Ghedini Ralha, Daniela Barreiro Claro, Rita Suzana Pitangueira Maciel, Aline Argolo, and Claudio D. G. Linhares. 2024. A Temporal Network Visualization and Data Analysis on Two Decades of SBSI. In Proceedings of the 20th Brazilian Symposium on Information Systems, SBSI 2024, Juiz de Fora, Brazil, May 20-23, 2024, Ronney Moreira de Castro, José Maria N. David, Johnny Cardoso Marques, Tadeu Moreira de Classe, Victor Ströele, and Williamson Alison Freitas Silva (Eds.). ACM, Juiz de Fora, MG, Brasil, 4:1–4:11. DOI: 10.1145/3658271.3658275

Shangsong Liang. 2019. Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. In The World Wide Web Conference (WWW’19). ACM, San Francisco, CA, USA, 1039–1050. DOI: 10.1145/3308558.3313625

Aline Martins, Ricardo Falbo, Giancarlo Guizzardi, and João A. Almeida. 2011. Uso de uma Ontologia de Fundamentação para Dirimir Ambiguidades na Modelagem de Processos de Negócio. In Anais do VII Simpósio Brasileiro de Sistemas de Informação (Salvador). SBC, Porto Alegre, RS, Brasil, 129–140. DOI: 10.5753/sbsi.2011.14571

Vânia Neves, Silvana Melo, and Lina Garcés. 2023. 18+ Years of Brazilian Symposium on Information Systems: Results of a Scope Review. In Proceedings of the XIX Brazilian Symposium on Information Systems (Maceió, Brazil) (SBSI ’23). ACM, New York, NY, USA, 419–426. DOI: 10.1145/3592813.3592933

Jefferson Tales Oliva, Huei Diana Lee, Newton Spolaôr, Weber Shoity Resende Takaki, Claudio Saddy Rodrigues Coy, João José Fagundes, and Feng Chung Wu. 2019. A computational system based on ontologies to automate the mapping process of medical reports into structured databases. Expert Systems with Applications 115 (2019), 37–56. DOI: 10.1016/j.eswa.2018.08.004

Rafael Oliveira, Sérgio Lifschitz, Ana Almeida, and Edward Haeusler. 2015. Projeto e implementação do framework Outer-tuning: auto sintonia e ontologia para bancos de dados relacionais. In Anais do XI Simpósio Brasileiro de Sistemas de Informação (Goiânia). SBC, Porto Alegre, RS, Brasil, 171–178. DOI: 10.5753/sbsi.2015.5814

Maria Queiroz, Natasha Lino, and Gustavo Motta. 2016. Uma Ontologia de Domínio para Preservação de Privacidade em Dados Publicados pelo Governo Brasileiro. In Anais do XII Simpósio Brasileiro de Sistemas de Informação (Florianópolis). SBC, Porto Alegre, RS, Brasil, 009–016. DOI: 10.5753/sbsi.2016.5940

Natan Rodrigues and Célia Ralha. 2015. Conhecendo a Comunidade de Sistemas de Informação no Brasil: um Estudo Comparativo Utilizando Diferentes Abordagens de Banco de Dados. In Anais do XI Simpósio Brasileiro de Sistemas de Informação (Goiânia). SBC, Porto Alegre, RS, Brasil, 555–562. DOI: 10.5753/sbsi.2015.5861

Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, and Marcos André Gonçalves. 2018. Semantically-Enhanced Topic Modeling. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM’18). ACM, New York, NY, USA, 893–902. DOI: 10.1145/3269206.3271797

Binbin Yu. 2019. Research on information retrieval model based on ontology. EURASIP Journal on Wireless Communications and Networking 2019, 1 (2019), 1–8. DOI: 10.1186/s13638-019-1354-z

Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, and Ji-Rong Wen. 2020. Towards Topic-Guided Conversational Recommender System. In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, Barcelona, Spain (Online), 4128–4139. DOI: 10.18653/v1/2020.coling-main.365