| Title: |
Towards an Object-Oriented Reasoning System for OWL |
| Author(s): |
G. Meditskos, N. Bassiliades.
|
| Availability: |
Click here to download the PDF (Acrobat Reader) file (11 pages).
|
| Keywords: |
Ontologies, OWL, Object Model, CLIPS, Descriptive Semantics, Production Rules, Deductive Rules.
|
| Appeared in: |
Int. Workshop on OWL Experiences and Directions, B. Cuenca Grau, I. Horrocks, B. Parsia, P. Patel-Schneider (Ed.), 11-12 Nov. 2005, Galway, Ireland, 2005.
|
| Abstract: |
In this paper we present O-DEVICE, a deductive object-oriented knowledge base system for reasoning over OWL documents. O-DEVICE imports OWL documents into the CLIPS production rule system by transforming OWL ontologies into an object-oriented schema of the CLIPS Object-Oriented Language (COOL) and instances of OWL classes into COOL objects. The pur-pose of this transformation is to be able to use a deductive object-oriented rule language for reasoning about OWL data. The O-DEVICE data model for OWL ontologies maps classes to classes, resources to objects, property types to class slot (or attribute) definitions and encapsulates resource properties inside re-source objects, as traditional OO attributes (or slots). In this way, when access-ing properties of a single resource, few joins are required. O-DEVICE is an ex-tension of a previous system, called R-DEVICE, which effectively maps RDF Schema and data into COOL objects and then reasons over RDF data using a deductive object-oriented rule language. |
| See also : |
O-DEVICE
|
This paper has been cited by the following:
| 1 |
Smart, Paul R (2007) Rule-Based Intelligence on the Semantic Web: Implications for Military Capabilities, Technical Report, University of Southampton, Faculty of Physical and Applied Science, Electronics and Computer Science, Web & Internet Science, http://eprints.soton.ac.uk/id/eprint/264912. |
| 2 |
D. Sathan, A. Meetoo, R. K. Subramaniam, “Context Aware Lightweight Energy Efficient Framework”, Proceedings of World Academy of Science, Engineering and Technology, Vol. 40, April 2009, pp. 64-70. |
| 3 |
Seiji Koide, “Theory and Implementation of Object Oriented Semantic Web Language”, PhD Thesis, Department of Informatics, Graduate University for Advanced Studies (SOKENDAI), Japan, 2010. |
| 4 |
Anuja Meetoo-Appavoo, “SmartSense: A Novel Smart and Intelligent Context-Aware Framework”, IJCSNS International Journal of Computer Science and Network Security, VOL.11 No.8, August 2011, pp. 214-221. |
| 5 |
Meetoo, A., Khedo, K.K., “SAIsense: A novel Scalable, Adaptive and Intelligent context-aware architecture”, (2011) International Journal of Computers and Applications, 33 (3), pp. 189-201. |
| 6 |
Safoura Shamsolketabi, “Interpreting chain of events for safety analysis”, MSc Thesis, Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway, June 2013. |
|
