Modelo de inferência para a classificação dinâmica de monografias de ní- vel superior
DOI:
https://doi.org/10.18046/syt.v13i35.2150Palavras-chave:
Base de conhecimento, inferência, lógica de predicados, monografia, ontologia.Resumo
A inadequada visibilidade de trabalhos de grau na modalidade de monografia impede a consulta e acesso de novos membros da comunidade acadêmica, limitando significativamente a possibilidade de continuar e complementar as versões dos trabalhos já concluídos, bem como a aplicação dos resultados a nível social e industrial. Este artigo propõe um modelo de base de conhecimento suportado por uma ontologia para melhorar a relevância de trabalhos apresentados digitalmente, como resultado de uma pesquisa sobre aspectos de interesse específico. Para obter um novo conhecimento utiliza-se a lógica de predicados aplicada ao modelo ontológico de representação de monografias, a fim de estabelecer inferências de maneira dinâmica e fiável ou fazer alterações em situações em que sejam necessárias.Referências
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Gruber, T. (1995). Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human and Computer Studies. International journal of human-computer studies, 43(5), 907-928.
Hao, C. (2011). Research on knowledge model for ontology-based knowledge base. In 2011 International Conference on Business Computing and Global Informatization (BCGIN), (pp. 397-399). IEEE.
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Holmes, D. & Stocking, R. (2009). Augmenting agent knowledge bases with OWL ontologies. 2009 IEEE Aerospace Conference. doi:10.1109/AERO.2009.4839651
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Wang, Y. (2010). Research on the construction of ontology-based criminology knowledge base. 2nd IEEE International Conference on Network Infrastructure and Digital Content.
Wang, Y. (2010). Research on the construction of ontology-based criminology knowledge base. In 2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, (pp. 123-128). IEEE.
Yoo, S., & Park, C. H. (1993). An inference browser to verify knowledge bases. In Fifth International Conference on Tools with Artificial Intelligence, 1993. TAI'93. Proceedings., (pp. 466-467). IEEE.
Alonso, M. (1992). Conocimiento y bases de datos una propuesta de integración inteligente [thesis]. Universidad de Cantabria: Santander, España.
Beekman, G. (1999). Introducción a la computación. Madrid, España: Pearson.
Citycorp. (2015). Semantic solutions for your enterprise. Retrieved from: http://www.cyc.com/enterprise-solutions/solutions/
Cybertesis [web site] (2015). Retrieved from: http://cybertesis.unmsm.edu.pe/
Dentler, K., Cornet, R., Teije, A., & Keizer, N. (2011). Comparison of reasoners for large ontologies in the OWL 2 EL Profile. Semantic Web, 2(2), 71-87.
Díez, D. & Zúñiga, A. (2011). Implementación de un modelo de gestión del conocimiento para empresas de servicios [thesis]. Cali, Colombia: Universidad ICESI.
Flores, I. (2011). Introducción al razonamiento sobre ontologías. Retrieved from: file:///C:/Users/Jos%C3%A9%20Ignacio/Downloads/nota-docencia-9.pdf
Floridi, L. (2004). Open problems in the philosophy of information. Metaphilosophy, 35(4), 554-582.
Gangemi, A., Pisanelli, D., & Steve, G. (1998). Ontology integration: Experiences with medical terminologies. In Formal ontology in information systems [Vol. 46]. Amsterdam, The Netherlands: IOS.
Gruber, T. (1995). Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human and Computer Studies. International journal of human-computer studies, 43(5), 907-928.
Hao, C. (2011). Research on knowledge model for ontology-based knowledge base. In 2011 International Conference on Business Computing and Global Informatization (BCGIN), (pp. 397-399). IEEE.
Hendler, J. (2001). Agents and the semantic web. IEEE Intelligent Systems, 2, 30-37.
Holmes, D. & Stocking, R. (2009). Augmenting agent knowledge bases with OWL ontologies. 2009 IEEE Aerospace Conference. doi:10.1109/AERO.2009.4839651
Lahaba, N. & León, M. (2001). La gestión del conocimiento: una nueva perspectiva en la gerencia de las organizaciones. Acimed, 9(2), 121-126.
Lenat, D., & Guha, R. V. (1990). Cyc: A midterm report. AI magazine, 11(3), 32.
Márquez, S. (2007). La web semántica [thesis]. Universidad Politécnica de Madrid, España.
Moldovan, D. I., & Rus, V. (2001, May). Transformation of wordNet glosses into logic forms. In FLAIRS Conference Proceedings, (pp. 459-463).. Retrieved from: http://www.aaai.org/Papers/FLAIRS/2001/FLAIRS01-088.pdf
Mylopoulos, J., & Levesque, H. (1983). An overview of knowledge representation. In GWAI-83 (pp. 143-157). Berlin-Heidelberg, Germany: Springer.
Noy, N., & McGuinness, D. (2000). Ontology development 101: a guide to creating your first ontology. Retrieved from: http://liris.cnrs.fr/~amille/enseignements/Ecole_Centrale/What%20is%20an%20ontology%20and%20why%20we%20need%20it.htm
Ono, K., Kawano, S., Fukazawa, Y., & Kadokura, T. (1992). A resolution method from predicate logic specification into executable code. In Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences, 1992. (Vol. 2, pp. 480-487). IEEE.
Parnas, D. L. (1993). Predicate logic for software engineering. Software Engineering, IEEE Transactions on, 19(9), 856-862.
Ramírez, S., Alonso, Y., Hernández, V., Arias, A., & La Rosa, D. (2010). Comparando UML y OWL en la representación del conocimiento: correspondencia sintáctica. Revista Española de Innovación, Calidad e Ingeniería del Software, 6(3), 84-94
Repositorio Unilibre [web site] (2015). Retrieved from: http://repository.unilibre.edu.co/handle/10901/1
Ruckhaus, E. (2005). Lógicas descriptivas y ontologías. Retrieved from: http://ldc.usb.ve/~ruckhaus/materias/ci7453/clase51.pdf
Shi, Z., Liu, Z., & Chen, J. (2010). Using logic rules for concept refinement learning in first order logic. 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), (pp. 444-448). IEEE.
Sinab [web site] (2015). Retrieved from: http://www.sinab.unal.edu.co/
Tayal, M., Raghuwansh, M., & Latesh, M. (2013). Knowledge representation: predicate logic implementation using sentence-type for Natural Languages. Circuits, Power and Computing Technologies (ICCPCT), (pp. 1264-1269). IEEE.
Teseo [web site] (2015). Retrieved from: https://www.educacion.gob.es/teseo/irGestionarConsulta.do
Universidad del Rosario (2011). Reglamento de trabajos de grado de la facultad de jurisprudencia. Retrieved form: http://www.urosario.edu.co/jurisprudencia/pregrados/documentos/Reglamento_de_trabajos_de_grado_Jurisprudencia.pdf
Wang, Y. (2010). Research on the construction of ontology-based criminology knowledge base. 2nd IEEE International Conference on Network Infrastructure and Digital Content.
Wang, Y. (2010). Research on the construction of ontology-based criminology knowledge base. In 2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, (pp. 123-128). IEEE.
Yoo, S., & Park, C. H. (1993). An inference browser to verify knowledge bases. In Fifth International Conference on Tools with Artificial Intelligence, 1993. TAI'93. Proceedings., (pp. 466-467). IEEE.
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2015-12-03
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Esta publicação está licenciada sob os termos da licença CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/deed.pt_BR).
