| Title: |
A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition |
| Author(s): |
O. Hatzi, G. Meditskos, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas.
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| Availability: |
Click here to download the PDF (Acrobat Reader) file.
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| Keywords: |
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| Appeared in: |
11th Ibero-American Conference on Artificial Intelligence, H. Geffner et al. (Ed.), Springer-Verlag, LNAI 5290, pp. 42-51, Lisbon, Portugal, 2008.
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| Abstract: |
This paper presents a prototype system that exploits planning and an
ontology concept ranking algorithm for composing semantic Web services
(PORSCE). The system exploits the inferencing capabilities of a Description
Logics Reasoner in order to compute the subsumption hierarchy of the ontologies
whose concepts are used in the OWL-S Profile descriptions as input and
output concepts. The concept ranking algorithm is applied over this hierarchy in
order to determine similar concepts based on different degrees of semantic
matching relaxation, such as subclass or sibling hierarchical relationships. The
domain independent planning system’s role is to semantically search the space
of possible compositions of Web services, generating plans according to the desirable
level of relaxation. |
| See also : |
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This paper has been cited by the following:
| 1 |
X. Li, C. Wu, "Research on OWL-S service automatic composition based on planning", 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009. |
| 2 |
G. D. Giacomo, R. D. Masellis, F. Patrizi, "Composition of Partially Observable Services Exporting their Behaviour", 19th Int. Conference on Automated Planning and Scheduling (ICAPS'09), 2009. |
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