Guided Composition of Tasks with Logical Information Systems - Application to Data Analysis Workflows in Bioinformatics

  • Mouhamadou Ba
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7882)


In a number of domains, particularly in bioinformatics, there is a need for complex data analysis. For that issue, elementary data analysis operations called tasks are composed as workflows. The composition of tasks is however difficult due to the distributed and heterogeneous resources of bioinformatics. This doctorial work will address the composition of tasks using Logical Information Systems (LIS). LIS let users build complex queries and updates over semantic web data through guided navigation, suggesting relevant pieces and updates at each step. The objective is to use semantics to describe bioinformatic tasks and to adapt the guided approach of Sewelis, a LIS semantic web tool, to the composition of tasks. We aim at providing a tool that supports guided composition of semantic web services in bioinformatics, and that will support biologists in designing workflows for complex data analysis.


Service Selection Simple Object Access Protocol Logical Information System Complex Data Analysis Bioinformatic Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Alonso, G., Casati, F., Kuno, H., Machiraju, V.: Web Services: Concepts, Architectures and Applications. Springer (2003)Google Scholar
  2. 2.
    Hitzler, P., Krötzsch, M., Rudolph, S.: Foundations of Semantic Web Technologies. CRC, Boca Raton (2009)Google Scholar
  3. 3.
    Missier, P., Wolstencroft, K., Tanoh, F., Li, P., Bechhofer, S., Belhajjame, K., Pettifer, S., Goble, C.A.: Functional units: Abstractions for web service annotations. In: SERVICES, pp. 306–313. IEEE Computer Society (2010)Google Scholar
  4. 4.
    Wolstencroft, K., Alper, P., Hull, D., Wroe, C., Lord, P.W., Stevens, R.D., Goble, C.A.: The myGrid ontology: bioinformatics service discovery. Int. Journal of Bioinformatics Research and Applications 3(3), 303–325 (2007)CrossRefGoogle Scholar
  5. 5.
    Wilkinson, M.D., Links, M.: Biomoby: An open source biological web services proposal. Briefings in Bioinformatics 3(4), 331–341 (2002)CrossRefGoogle Scholar
  6. 6.
    Romano, P.: Automation of in-silico data analysis processes through workflow management systems. Brief Bioinform. 9(1), 57–68 (2008)CrossRefGoogle Scholar
  7. 7.
    Wang, Z., Miller, J.A., Kissinger, J.C., Wang, R., Brewer, D., Aurrecoechea, C.: Ws-biozard: A wizard for composing bioinformatics web services. In: SERVICES I, pp. 437–444. IEEE Computer Society (2008)Google Scholar
  8. 8.
    Oinn, T., Greenwood, M., Addis, M., Ferris, J., Glover, K., Goble, C., Hull, D., Marvin, D., Li, P., Lord, P.: Taverna: Lessons in creating a workflow environment for the life sciences. Concurrency and Computation: Practice and Experience 18(10), 1067–1100 (2006)CrossRefGoogle Scholar
  9. 9.
    Ferré, S., Hermann, A.: Semantic search: Reconciling expressive querying and exploratory search. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 177–192. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Lebreton, N., Blanchet, C., Claro, D.B., Chabalier, J., Burgun, A., Dameron, O.: Verification of parameters semantic compatibility for semi-automatic web service composition: a generic case study. In: Taniar, D., Pardede, E., Nguyen, H.Q., Rahayu, J.W., Khalil, I. (eds.) Int. Conf. on Information Integration and Web Based Applications and Services, pp. 845–848. ACM (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mouhamadou Ba
    • 1
  1. 1.IRISA/INSA RennesRennesFrance

Personalised recommendations