A Framework for Automatic Composition of Scientific Experiments: Achievements, Lessons Learned and Challenges
Resumo
Scientific workflows management systems (SWMS) play a very important role in the e-Science. This paper presents the new functionalities of a SWMS that was originally developed fifteen years ago. These functionalities are focused on the automatic composition and execution of workflows, and the transparent use of local applications, Web Service and Java methods as the building blocks of the scientific experiments.
Referências
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Andrioli, L. P., Digiampietri, L. A., de Barros, L. P., and Machado-Lima, A. (2012).
Huckebein is part of a combinatorial repression code in the anterior blastoderm. Developmental Biology, 361(1):177 – 185.
Barga, R. S. and Digiampietri, L. A. (2008). Automatic capture and efficient storage of escience experiment provenance. CCPE, 20(5):419–429.
Callahan, S. P., Freire, J., Santos, E., Scheidegger, C. E., Silva, C. T., and Vo, H. T. (2006). Managing the evolution of dataflows with vistrails. In Proceedings of the 22nd International Conference on Data Engineering Workshops, ICDEW ’06, page 71.
Curcin, V. and Ghanem, M. (2008). Scientific workflow systems - can one size fit all? In Biomedical Engineering Conference, 2008 - CIBEC2008, pages 1–9.
Deelman, E., Gannon, D., Shields, M., and Taylor, I. (2009). Workflows and e-science: An overview of workflow system features and capabilities. Future Gener. Comput. Syst., 25(5):528–540.
Digiampietri, L., Teodoro, B., Santiago, C., Oliveira, G., and Ara´ujo, J. (2012). Um sistema de informação extensível para o reconhecimento automático de libras. In SBSI 2012 - Trilhas Técnicas (Technical Tracks).
Digiampietri, L. A., ARAUJO, J. C., OSTROSKI, E. H., Santiago, C. R. N., and Perez- Alcazar, J. J. (2013). Combinando workflows e semˆantica para facilitar o reuso de software. Revista de Informática Teórica e Aplicada: RITA, 20:73–89.
Digiampietri, L. A., de Jes´us Pérez Alcázar, J., and Medeiros, C. B. (2007). An ontologybased framework for bioinformatics workflows. IJBRA, 3(3):268–285.
Digiampietri, L. A., Pérez-Alcázar, J. J., e Freitas, R. S., Ara´ujo, J. C., ´ EricH. Ostroski, and Santiago, C. R. N. (2011). Uso de planejamento em inteligência artificial para o desenvolvimento automático de software. In AutoSoft 2011.
Lu, S. and Zhang, J. (2009). Collaborative scientific workflows. In Web Services, 2009. ICWS 2009. IEEE International Conference on, pages 527–534.
Medeiros, C., Perez-Alcazar, J., Digiampietri, L., Pastorello, G., Santanche, A., Torres, R., Madeira, E., and Bacarin, E. (2005). WOODSS and the Web: Annotating and Reusing Scientific Workflows. ACM SIGMOD Record, 34(3):18–23.
Nau, D., Au, T., Ilghami, O., Kuter, U., Murdock, W., Wu, D., and Yaman, F. (2003).
SHOP2: An HTN planning system. Journal of Artificial Intelligence Research, pages 379–404.
Oh, S.-C., Lee, D., and Kumara, S. R. T. (2007). Web service planner (wspr): An effective and scalable web service composition algorithm. IJWSR, 4(1):1–22.
Seffino, L., Medeiros, C., Rocha, J., and Yi, B. (1999). WOODSS - A Spatial Decision Support System based on Workflows. Decision Support Systems, 27(1-2):105–123.
Shin, D., Lee, K., and Suda, T. (2009). Automated generation of composite web services based on functional semantics. Web Semantics: Science, Services and Agents on the World Wide Web, 7(4):332–343.
Taylor, I., Shields, M., Wang, I., and Harrison, A. (2005). Visual grid workflow in triana. Journal of Grid Computing, 3(3-4):153–169.
Zu˜niga, J. C., Pérez-Alcázar, J. J., Digiampietri, L. A., and Barbin, S. E. (2014). A loosely coupled architecture for automatic composition of web services applications. International Journal of Metadata, Semantics and Ontologies, 9(3):241–251.
Andrioli, L. P., Digiampietri, L. A., de Barros, L. P., and Machado-Lima, A. (2012).
Huckebein is part of a combinatorial repression code in the anterior blastoderm. Developmental Biology, 361(1):177 – 185.
Barga, R. S. and Digiampietri, L. A. (2008). Automatic capture and efficient storage of escience experiment provenance. CCPE, 20(5):419–429.
Callahan, S. P., Freire, J., Santos, E., Scheidegger, C. E., Silva, C. T., and Vo, H. T. (2006). Managing the evolution of dataflows with vistrails. In Proceedings of the 22nd International Conference on Data Engineering Workshops, ICDEW ’06, page 71.
Curcin, V. and Ghanem, M. (2008). Scientific workflow systems - can one size fit all? In Biomedical Engineering Conference, 2008 - CIBEC2008, pages 1–9.
Deelman, E., Gannon, D., Shields, M., and Taylor, I. (2009). Workflows and e-science: An overview of workflow system features and capabilities. Future Gener. Comput. Syst., 25(5):528–540.
Digiampietri, L., Teodoro, B., Santiago, C., Oliveira, G., and Ara´ujo, J. (2012). Um sistema de informação extensível para o reconhecimento automático de libras. In SBSI 2012 - Trilhas Técnicas (Technical Tracks).
Digiampietri, L. A., ARAUJO, J. C., OSTROSKI, E. H., Santiago, C. R. N., and Perez- Alcazar, J. J. (2013). Combinando workflows e semˆantica para facilitar o reuso de software. Revista de Informática Teórica e Aplicada: RITA, 20:73–89.
Digiampietri, L. A., de Jes´us Pérez Alcázar, J., and Medeiros, C. B. (2007). An ontologybased framework for bioinformatics workflows. IJBRA, 3(3):268–285.
Digiampietri, L. A., Pérez-Alcázar, J. J., e Freitas, R. S., Ara´ujo, J. C., ´ EricH. Ostroski, and Santiago, C. R. N. (2011). Uso de planejamento em inteligência artificial para o desenvolvimento automático de software. In AutoSoft 2011.
Lu, S. and Zhang, J. (2009). Collaborative scientific workflows. In Web Services, 2009. ICWS 2009. IEEE International Conference on, pages 527–534.
Medeiros, C., Perez-Alcazar, J., Digiampietri, L., Pastorello, G., Santanche, A., Torres, R., Madeira, E., and Bacarin, E. (2005). WOODSS and the Web: Annotating and Reusing Scientific Workflows. ACM SIGMOD Record, 34(3):18–23.
Nau, D., Au, T., Ilghami, O., Kuter, U., Murdock, W., Wu, D., and Yaman, F. (2003).
SHOP2: An HTN planning system. Journal of Artificial Intelligence Research, pages 379–404.
Oh, S.-C., Lee, D., and Kumara, S. R. T. (2007). Web service planner (wspr): An effective and scalable web service composition algorithm. IJWSR, 4(1):1–22.
Seffino, L., Medeiros, C., Rocha, J., and Yi, B. (1999). WOODSS - A Spatial Decision Support System based on Workflows. Decision Support Systems, 27(1-2):105–123.
Shin, D., Lee, K., and Suda, T. (2009). Automated generation of composite web services based on functional semantics. Web Semantics: Science, Services and Agents on the World Wide Web, 7(4):332–343.
Taylor, I., Shields, M., Wang, I., and Harrison, A. (2005). Visual grid workflow in triana. Journal of Grid Computing, 3(3-4):153–169.
Zu˜niga, J. C., Pérez-Alcázar, J. J., Digiampietri, L. A., and Barbin, S. E. (2014). A loosely coupled architecture for automatic composition of web services applications. International Journal of Metadata, Semantics and Ontologies, 9(3):241–251.
Publicado
28/07/2014
Como Citar
DIGIAMPIETRI, Luciano; PÉREZ-ALCÁZAR, José; SANTIAGO, Caio; OLIVEIRA, Guilherme; KHOURI, Adilson; ARAUJO, Jonatas.
A Framework for Automatic Composition of Scientific Experiments: Achievements, Lessons Learned and Challenges. In: BRAZILIAN E-SCIENCE WORKSHOP (BRESCI), 8. , 2014, Brasília.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 13-20.
ISSN 2763-8774.
