Construção do Estado da Arte em Estratégias Híbridas para Raciocínio de Contexto: uma Abordagem explorando Revisão Sistemática da Literatura
Resumo
As propostas híbridas para raciocínio de contexto vêm ganhando destaque na literatura, as mesmas permitem a utilização de duas ou mais estratégias de raciocínio. Motivado por este cenário, esse artigo tem o objetivo de construir o estado da arte, sistematizando tendências de pesquisa em Ciência de Contexto. É explorada uma Revisão Sistemática da Literatura, contribuindo tanto pela identificação de trabalhos relevantes na área, bem como, pela especificação de critérios para sua seleção. Nessa revisão são analisados trabalhos publicados entre 2012 e 2017. Durante o processo de revisão foram identificados 2952 trabalhos, sendo selecionados ao final sete trabalhos que propõem estratégias híbridas. Os trabalhos selecionados são apresentados, discutidos, e uma comparação entre eles é realizada.
Referências
Baz, I., Yoruk, E., and Cetin, M. (2016). Context-aware hybrid classification system for fine-grained retail product recognition. In IEEE 12th IVMSP, France.
Bellavista, P., Corradi, A., Fanelli, M., and Foschini, L. (2012). A survey of context data distribution for mobile ubiquitous systems. ACM Comput. Surv., 44(4):24:1–24:45.
Bibri, S. E. (2015). Context modeling, representation, and reasoning: An ontological and hybrid approach. In The Human Face of Ambient Intelligence, volume 9 of Atlantis Ambient and Pervasive Intelligence, pages 197–257. Atlantis Press, Paris.
Can, O., Sezer, E., Bursa, O., and Unalir, M. O. (2017). Comparing relational and ontological triple stores in healthcare domain. Entropy, 19(1):30.
Khattak, A. M., Akbar, N., Aazam, M., Ali, T., Khan, A. M., Jeon, S., Hwang, M., and Lee, S. (2014). Context representation and fusion: Advancements and opportunities. Sensors, 14(6):9628–9668.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Joint report, Keele University and Durham University.
Li, X., Eckert, M., Martinez, J.-F., and Rubio, G. (2015). Context aware middleware architectures: Survey and challenges. Sensors, 15(8):20570.
Li, X., Martínez, J.-F., and Rubio, G. (2017). Towards a hybrid approach to context reasoning for underwater robots. Applied Sciences, 7(2).
Lopes, J., Souza, R., Gadotti, G., Gusmão, M., Costa, C., Barbosa, J., Yamin, A., and Geyer, C. (2012). A distributed architecture for dynamic contexts composition in ubicomp. In 38th CLEI 2012 - Conference Proceedings, Colombia.
Petersen, K., Vakkalanka, S., and Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Information and Software Technology, 64(Supplement C):1 – 18.
Razzaq, M. A., Amin, M. B., and Lee, S. (2017). An ontology-based hybrid approach for accurate context reasoning. In 19th APNOMS, pages 403–406, South Korea.
Razzaque, M., Milojevic-Jevric, M., Palade, A., and Clarke, S. (2016). Middleware for internet of things: A survey. Internet of Things Journal, IEEE, 3(1):70–95.
Smaaberg, S., Shabib, N., and Krogstie, J. (2014). A user-study on context-aware group recommendation for concerts. In CEUR Workshop Proceedings - SP 2014, Chile.
Strobbe, M., Van Laere, O., Dhoedt, B., De Turck, F., and Demeester, P. (2012). Hybrid reasoning technique for improving context-aware applications. Knowledge and Information Systems, 31(3):581–616.
Subbaraj, R. and Venkataraman, N. (2016). Reasoning in context aware computing – a review. International Journal of Pharmacy and Technology, 8:5021–5032.
Yuan, B. and Herbert, J. (2014). Context-aware hybrid reasoning framework for pervasive healthcare. Personal and Ubiquitous Computing, 18(4):865–881.
Bellavista, P., Corradi, A., Fanelli, M., and Foschini, L. (2012). A survey of context data distribution for mobile ubiquitous systems. ACM Comput. Surv., 44(4):24:1–24:45.
Bibri, S. E. (2015). Context modeling, representation, and reasoning: An ontological and hybrid approach. In The Human Face of Ambient Intelligence, volume 9 of Atlantis Ambient and Pervasive Intelligence, pages 197–257. Atlantis Press, Paris.
Can, O., Sezer, E., Bursa, O., and Unalir, M. O. (2017). Comparing relational and ontological triple stores in healthcare domain. Entropy, 19(1):30.
Khattak, A. M., Akbar, N., Aazam, M., Ali, T., Khan, A. M., Jeon, S., Hwang, M., and Lee, S. (2014). Context representation and fusion: Advancements and opportunities. Sensors, 14(6):9628–9668.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Joint report, Keele University and Durham University.
Li, X., Eckert, M., Martinez, J.-F., and Rubio, G. (2015). Context aware middleware architectures: Survey and challenges. Sensors, 15(8):20570.
Li, X., Martínez, J.-F., and Rubio, G. (2017). Towards a hybrid approach to context reasoning for underwater robots. Applied Sciences, 7(2).
Lopes, J., Souza, R., Gadotti, G., Gusmão, M., Costa, C., Barbosa, J., Yamin, A., and Geyer, C. (2012). A distributed architecture for dynamic contexts composition in ubicomp. In 38th CLEI 2012 - Conference Proceedings, Colombia.
Petersen, K., Vakkalanka, S., and Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Information and Software Technology, 64(Supplement C):1 – 18.
Razzaq, M. A., Amin, M. B., and Lee, S. (2017). An ontology-based hybrid approach for accurate context reasoning. In 19th APNOMS, pages 403–406, South Korea.
Razzaque, M., Milojevic-Jevric, M., Palade, A., and Clarke, S. (2016). Middleware for internet of things: A survey. Internet of Things Journal, IEEE, 3(1):70–95.
Smaaberg, S., Shabib, N., and Krogstie, J. (2014). A user-study on context-aware group recommendation for concerts. In CEUR Workshop Proceedings - SP 2014, Chile.
Strobbe, M., Van Laere, O., Dhoedt, B., De Turck, F., and Demeester, P. (2012). Hybrid reasoning technique for improving context-aware applications. Knowledge and Information Systems, 31(3):581–616.
Subbaraj, R. and Venkataraman, N. (2016). Reasoning in context aware computing – a review. International Journal of Pharmacy and Technology, 8:5021–5032.
Yuan, B. and Herbert, J. (2014). Context-aware hybrid reasoning framework for pervasive healthcare. Personal and Ubiquitous Computing, 18(4):865–881.
Publicado
22/07/2018
Como Citar
MACHADO, Roger S.; ALMEIDA, Ricardo B.; LOPES, João Ladislau; PERNAS, Ana Marilza; YAMIN, Adenauer C..
Construção do Estado da Arte em Estratégias Híbridas para Raciocínio de Contexto: uma Abordagem explorando Revisão Sistemática da Literatura. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 10. , 2018, Natal.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 91-100.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2018.3291.
