Huy Pham, Deborah Stacey, Rozita Dara


Existing planning-based approaches to ontology-driven workflow composition (ODWC) integrate planning into their frameworks and ontologies in ways that are either less reusable or ineffective. A more modular and reusable design is possible, but a successfull application of this design requires addressing some important practicality issues. In this paper, we provide a comprehensive survey of existing approaches to intelligent ontology-driven workflow composition, discuss the practicality challenges associated with building ontology driven and planning-based workflow composition systems, and present a reusable and practical ontology driven planning framework that could be used for such purposes.


  1. Bernstein, A., Provost, F., and Hill, S. (2005). Toward intelligent assistance for a data mining process: An ontology-based approach for cost-sensitive classification. IEEE Transactions on Knowledge and Data Engineering, 17:503-518.
  2. Brachman, R. and Levesque, H. (2004). Knowledge Representation and Reasoning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
  3. Diamantini, C., Potena, D., and Storti, E. (2009). Ontologydriven kdd process composition. In Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII, IDA 7809, pages 285-296, Berlin, Heidelberg. Springer-Verlag.
  4. Gibson, A. and Stevens, R. (2009). Introduction to ontologies. In Popescu, M. and Xu, D., editors, Data Mining Applications Using Ontologies in Biomedicine. Artech Hous.
  5. Gil, Y., Gil, A., and Blythe, J. (2000). PLANET: A Shareable and Reusable Ontology for Representing Plans. In Proceedings of the AAAI Workshop on Representational Issues.
  6. Grosof, B. N., Horrocks, I., Volz, R., and Decker, S. (2003). Description logic programs: combining logic programs with description logic. In WWW 7803: Proceedings of the 12th International Conference on World Wide Web, pages 48-57, New York, NY, USA. ACM.
  7. Hitzler, P. and Parsia, B. (2009). Ontologies and rules. In Bernus, P., Blazewics, J., Schmidt, G., Shaw, M., Staab, S., and Studer, R., editors, Handbook on Ontologies, International Handbooks on Information Systems, pages 111-132. Springer Berlin Heidelberg.
  8. Hlomani, H. and Stacey, D. (2009). An ontology-driven approach to software system composition. In Proceedings of KEOD 2009.
  9. Horrocks, I. (2008). Ontologies and the Semantic Web. Commun. ACM, 51(12):58-67.
  10. Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., and Dean, M. (2004). SWRL: A Semantic Web Rule Language Combining OWL and RuleML. Technical report, World Wide Web Consortium.
  11. Morik, K. and Scholz, M. (2003). The miningmart approach to knowledge discovery in databases. In In Ning Zhong and Jiming Liu, editors, Intelligent Technologies for Information Analysis, pages 47-65. Springer.
  12. Rajpathak, D. and Motta, E. (2004). An Ontological Formalization of the Planning Task. In Proceedings International Conference on Formal Ontologies in Information Systems (FOIS'04), Torino, Italy.
  13. Reiter, R. (2001). Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems. The MIT Press, Massachusetts, MA, illustrated edition edition.
  14. Russell, S. J. and Norvig, P. (2002). Artificial Intelligence: A Modern Approach (2nd Edition). Prentice Hall.
  15. Z?áková, M., Kr?emen, P., Z? eleznÉ , F., and Lavrac?, N. (2008). Using ontological reasoning and planning for data mining workflow composition. In SoKD: ECML/PKDD 2008 Workshop on Third Generation Data Mining: Towards Service-Oriented Knowledge Discovery.

Paper Citation

in Harvard Style

Pham H., Stacey D. and Dara R. (2011). A PRACTICAL ONTOLOGY-DRIVEN WORKFLOW COMPOSITION FRAMEWORK . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 242-248. DOI: 10.5220/0003659102420248

in Bibtex Style

author={Huy Pham and Deborah Stacey and Rozita Dara},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
SN - 978-989-8425-80-5
AU - Pham H.
AU - Stacey D.
AU - Dara R.
PY - 2011
SP - 242
EP - 248
DO - 10.5220/0003659102420248