Ontologias para modelos de negócio na pecuária de corte: uma revisão da literatura
Resumo
Ontologias são representações formais de conceitos e de seus relacionamentos, com semântica expressa por Lógicas de Descrições. Modelos de negócio formam o arcabouço para teste de viabilidade e resultados econômicos de empreendimentos. A descrição de um modelo de negócio como uma ontologia permite tanto a inferência de conhecimento sobre o negócio quanto gerar e combinar modelos na forma de aplicações de software. Este trabalho apresenta uma revisão da literatura sobre ontologias de modelos de negócio e sobre pecuária de corte, como base para a identificação de oportunidades de pesquisa na área.
Palavras-chave:
Inferência lógica, semântica de descrições, model-driven engineering
Referências
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Afify, Y. M., Badr, N. L., Moawad, I. F., Tolba, M. F. (2017). A comprehensive business domain ontology for cloud services. 2017 IEEE 8th International Conference on Intelligent Computing and Information Systems, ICICIS 2017, 2018-Janua(Icicis):134–143. DOI: https://doi.org/10.1109/INTELCIS.2017.8260044
Baader, F., Calvanese, D., McGuinness, D. L., McGuinness, D. L., Nardi, D., Patel Schneider, P. F. (2007). The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge, UK., 2 edition.
Bi, L., Di, X. Q., Zhang, Y. (2016). Agricultural data modeling method based on semantics. Proceedings of 2016 IEEE International Conference on Big Data Analysis, ICBDA 2016. DOI: https://doi.org/10.1109/ICBDA.2016.7509798
Bizer, C., Heath, T., Berners-Lee, T. (2009). Linked data - the story so far. International Journal on Semantic Web and Information Systems, 5:1–22. DOI: https://doi.org/10.4018/978-1-60960-593-3.ch008
Bolfe, E. L., Junior, A. L., de Castro Victoria, D., Grego, C. R. (2020). Agricultura digital no Brasil - tendências, desafios e oportunidades (resultado de pesquisa online). Technical report, Campinas.
Borst, W. N. (1997). Construction of Engineering Ontologies for Knowledge Sharing and Reuse. PhD thesis, University of Twente, Enschede, The Netherlands.
Boshkoska, B. M., Liu, S., Zhao, G., Fernandez, A., Gamboa, S., del Pino, M., Zarate, P., Hernandez, J., Chen, H. (2019). A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains. Computers in Industry, 110:64–80. DOI: https://doi.org/10.1016/j.compind.2019.04.012
Chukkapalli, S. S. L., Mittal, S., Gupta, M., Abdelsalam, M., Joshi, A., Sandhu5, R., Joshi, K. (2020a). Ontologies and artificial intelligence systems for the cooperative smart farming ecosystem. IEEE Access, 8:164045–164064. DOI: https://doi.org/10.1109/ACCESS.2020.3022763
Chukkapalli, S. S. L., Piplai, A., Mittal, S., Gupta, M., Joshi, A. (2020b). A smart-farming ontology for attribute based access control. In IEEE 6th Intl Conference on Big Data Security on Cloud, pages 29–34. DOI: https://doi.org/10.1109/BigDataSecurity-HPSC-IDS49724.2020.00017
Da Silva, B. A., Da Ponte, M. J. M., Filho, J. R. B., Lima, C. P. (2019). Ontological model for classification of diseases in bovines and buffaloes. Iberian Conference on Information Systems and Technologies, CISTI, 2019(June):19–22. DOI: https://doi.org/10.23919/CISTI.2019.8760689
Dermeval, D. Bittencourt, J. A. P. M. C. I. I. (2020). Mapeamento Sistemático e Revisão Sistemática da Literatura em Informática na Educação, volume 2, chapter 3, pages 1–26. CEIE/SBC.
Gasevic, D., Djuric, D., Devedzic, V. (2006). Model Driven Architecture and Ontology Development. Springer, Berlin Heidelberg.
Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5:199–220. DOI: https://doi.org/10.1006/knac.1993.1008
Horrocks, I., Patel-Schneider, P. F., Van Harmelen, F. (2003). From SHIQ and RDF to OWL: The making of a Web Ontology Language. Web Semantics, 1(1):7–26. DOI: https://doi.org/10.1016/j.websem.2003.07.001
Kitchenham, B. (2004). Procedures for performing systematic reviews. Joint Technical Report TR/SE-0401, Keele University, Keele.
Liang, Y., Wen, Z., Liu, L., Li, G., Guo, B. (2019). Towards a goal-driven dynamic business process ontology. In ACM International Conference Proceeding Series, pages 295–299. DOI: https://doi.org/10.1145/3358528.3358550
Massruha, S. M. F. S. Leite, M. A. d. A. (2017). Agro 4.0 – rumo à Agricultura Digital. Centro Paula Souza, São Paulo, 2ª ed.
Musen, M. A. (2015). The Protég project: A look back and a look forward, volume 1. Association of Computing Machinery Specific Interest Group in Artificial Intelligence. DOI: https://doi.org/10.1145/2757001.2757003
Pani, S. Mishra, J. (2016). Building semantics of E-agriculture in India: Semantics in e-agriculture. Proceedings - 2015 International Conference on Man and Machine Interfacing, MAMI 2015, pages 15–18. DOI: https://doi.org/10.1109/MAMI.2015.7456602
Pease, S. G., Sharpe, R., van Lopik, K., Goodall, P., Young, B., Conway, P., West, A. (2020). Na interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain. Future Generation Computer Systems, 112:848–858. DOI: https://doi.org/10.1016/j.future.2020.06.008
Ren, Y., Parvizi, A., Mellish, C., Pan, J. Z., Van Deemter, K., Stevens, R. (2014). Towards competency question-driven ontology authoring. Lecture Notes in Computer Science, 8465:752–767. DOI: https://doi.org/10.1007/978-3-319-07443-6_50
Staab, S. Studer, R., editors (2009). Handbook on Ontologies. International Handbooks on Information Systems. Springer, 2 edition. DOI: https://doi.org/10.1007/978-3-540-92673-3
Walisadeera, A. I., Ginige, A., Wikramanayake, G. N. (2015). User centered ontology for Sri Lankan farmers. Ecological Informatics, 26(P2):140–150. DOI: https://doi.org/10.1016/j.ecoinf.2014.07.008
Yingbo, D. Xia, H. (2019). Business modeling and reasoning based on process ontology. In ACM International Conference Proceeding Series, pages 143–147. DOI: https://doi.org/10.1145/3338188.3338215
Zeleti, F. A. Ojo, A. (2017). An ontology for open government data business model. In ACM International Conference Proceeding Series, volume Part F1280, pages 195–203. DOI: https://doi.org/10.1145/3047273.3047327
Zou, M., Basirati, M. R., Bauer, H., Kattner, N., Reinhart, G., Lindemann, U., Böhm, M., Krcmar, H., Vogel-Heuser, B. (2019). Facilitating consistency of business model and technical models in product-service-systems development: An ontology approach. IFAC-PapersOnLine, 52(13):1229–1235. DOI: https://doi.org/10.1016/j.ifacol.2019.11.366
Afify, Y. M., Badr, N. L., Moawad, I. F., Tolba, M. F. (2017). A comprehensive business domain ontology for cloud services. 2017 IEEE 8th International Conference on Intelligent Computing and Information Systems, ICICIS 2017, 2018-Janua(Icicis):134–143. DOI: https://doi.org/10.1109/INTELCIS.2017.8260044
Baader, F., Calvanese, D., McGuinness, D. L., McGuinness, D. L., Nardi, D., Patel Schneider, P. F. (2007). The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge, UK., 2 edition.
Bi, L., Di, X. Q., Zhang, Y. (2016). Agricultural data modeling method based on semantics. Proceedings of 2016 IEEE International Conference on Big Data Analysis, ICBDA 2016. DOI: https://doi.org/10.1109/ICBDA.2016.7509798
Bizer, C., Heath, T., Berners-Lee, T. (2009). Linked data - the story so far. International Journal on Semantic Web and Information Systems, 5:1–22. DOI: https://doi.org/10.4018/978-1-60960-593-3.ch008
Bolfe, E. L., Junior, A. L., de Castro Victoria, D., Grego, C. R. (2020). Agricultura digital no Brasil - tendências, desafios e oportunidades (resultado de pesquisa online). Technical report, Campinas.
Borst, W. N. (1997). Construction of Engineering Ontologies for Knowledge Sharing and Reuse. PhD thesis, University of Twente, Enschede, The Netherlands.
Boshkoska, B. M., Liu, S., Zhao, G., Fernandez, A., Gamboa, S., del Pino, M., Zarate, P., Hernandez, J., Chen, H. (2019). A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains. Computers in Industry, 110:64–80. DOI: https://doi.org/10.1016/j.compind.2019.04.012
Chukkapalli, S. S. L., Mittal, S., Gupta, M., Abdelsalam, M., Joshi, A., Sandhu5, R., Joshi, K. (2020a). Ontologies and artificial intelligence systems for the cooperative smart farming ecosystem. IEEE Access, 8:164045–164064. DOI: https://doi.org/10.1109/ACCESS.2020.3022763
Chukkapalli, S. S. L., Piplai, A., Mittal, S., Gupta, M., Joshi, A. (2020b). A smart-farming ontology for attribute based access control. In IEEE 6th Intl Conference on Big Data Security on Cloud, pages 29–34. DOI: https://doi.org/10.1109/BigDataSecurity-HPSC-IDS49724.2020.00017
Da Silva, B. A., Da Ponte, M. J. M., Filho, J. R. B., Lima, C. P. (2019). Ontological model for classification of diseases in bovines and buffaloes. Iberian Conference on Information Systems and Technologies, CISTI, 2019(June):19–22. DOI: https://doi.org/10.23919/CISTI.2019.8760689
Dermeval, D. Bittencourt, J. A. P. M. C. I. I. (2020). Mapeamento Sistemático e Revisão Sistemática da Literatura em Informática na Educação, volume 2, chapter 3, pages 1–26. CEIE/SBC.
Gasevic, D., Djuric, D., Devedzic, V. (2006). Model Driven Architecture and Ontology Development. Springer, Berlin Heidelberg.
Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5:199–220. DOI: https://doi.org/10.1006/knac.1993.1008
Horrocks, I., Patel-Schneider, P. F., Van Harmelen, F. (2003). From SHIQ and RDF to OWL: The making of a Web Ontology Language. Web Semantics, 1(1):7–26. DOI: https://doi.org/10.1016/j.websem.2003.07.001
Kitchenham, B. (2004). Procedures for performing systematic reviews. Joint Technical Report TR/SE-0401, Keele University, Keele.
Liang, Y., Wen, Z., Liu, L., Li, G., Guo, B. (2019). Towards a goal-driven dynamic business process ontology. In ACM International Conference Proceeding Series, pages 295–299. DOI: https://doi.org/10.1145/3358528.3358550
Massruha, S. M. F. S. Leite, M. A. d. A. (2017). Agro 4.0 – rumo à Agricultura Digital. Centro Paula Souza, São Paulo, 2ª ed.
Musen, M. A. (2015). The Protég project: A look back and a look forward, volume 1. Association of Computing Machinery Specific Interest Group in Artificial Intelligence. DOI: https://doi.org/10.1145/2757001.2757003
Pani, S. Mishra, J. (2016). Building semantics of E-agriculture in India: Semantics in e-agriculture. Proceedings - 2015 International Conference on Man and Machine Interfacing, MAMI 2015, pages 15–18. DOI: https://doi.org/10.1109/MAMI.2015.7456602
Pease, S. G., Sharpe, R., van Lopik, K., Goodall, P., Young, B., Conway, P., West, A. (2020). Na interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain. Future Generation Computer Systems, 112:848–858. DOI: https://doi.org/10.1016/j.future.2020.06.008
Ren, Y., Parvizi, A., Mellish, C., Pan, J. Z., Van Deemter, K., Stevens, R. (2014). Towards competency question-driven ontology authoring. Lecture Notes in Computer Science, 8465:752–767. DOI: https://doi.org/10.1007/978-3-319-07443-6_50
Staab, S. Studer, R., editors (2009). Handbook on Ontologies. International Handbooks on Information Systems. Springer, 2 edition. DOI: https://doi.org/10.1007/978-3-540-92673-3
Walisadeera, A. I., Ginige, A., Wikramanayake, G. N. (2015). User centered ontology for Sri Lankan farmers. Ecological Informatics, 26(P2):140–150. DOI: https://doi.org/10.1016/j.ecoinf.2014.07.008
Yingbo, D. Xia, H. (2019). Business modeling and reasoning based on process ontology. In ACM International Conference Proceeding Series, pages 143–147. DOI: https://doi.org/10.1145/3338188.3338215
Zeleti, F. A. Ojo, A. (2017). An ontology for open government data business model. In ACM International Conference Proceeding Series, volume Part F1280, pages 195–203. DOI: https://doi.org/10.1145/3047273.3047327
Zou, M., Basirati, M. R., Bauer, H., Kattner, N., Reinhart, G., Lindemann, U., Böhm, M., Krcmar, H., Vogel-Heuser, B. (2019). Facilitating consistency of business model and technical models in product-service-systems development: An ontology approach. IFAC-PapersOnLine, 52(13):1229–1235. DOI: https://doi.org/10.1016/j.ifacol.2019.11.366
Publicado
10/11/2021
Como Citar
MACHADO, Matheus Collares; FERREIRA, Ana Paula Lüdtke.
Ontologias para modelos de negócio na pecuária de corte: uma revisão da literatura. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA (SBIAGRO), 13. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 234-244.
ISSN 2177-9724.
DOI: https://doi.org/10.5753/sbiagro.2021.18395.
