|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
A Flexible Ontology Reasoning Architecture for the Semantic Web
February 2007 (vol. 19 no. 2)
pp. 246-260
| ASCII Text | x | ||
| Jeff Z. Pan, "A Flexible Ontology Reasoning Architecture for the Semantic Web," IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 2, pp. 246-260, February, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/TKDE.2007.17, author = {Jeff Z. Pan}, title = {A Flexible Ontology Reasoning Architecture for the Semantic Web}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {19}, number = {2}, issn = {1041-4347}, year = {2007}, pages = {246-260}, doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2007.17}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Knowledge and Data Engineering TI - A Flexible Ontology Reasoning Architecture for the Semantic Web IS - 2 SN - 1041-4347 SP246 EP260 EPD - 246-260 A1 - Jeff Z. Pan, PY - 2007 KW - Knowledge representation KW - ontology KW - user-defined data types and data type predicates KW - reasoning architecture. VL - 19 JA - IEEE Transactions on Knowledge and Data Engineering ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2007.17
Knowledge-based systems in the Semantic Web era can make use of the power of the Semantic Web languages and technologies, in particular those related to ontologies. Recent research has shown that user-defined data types are very useful for Semantic Web and ontology applications. The W3C Semantic Web Best Practices and Development Working Group has set up a task force to address this issue. Very recently, OWL-Eu and OWL-E, two decidable extensions of the W3C standard ontology language OWL DL, have been proposed to support customized data types and customized data type predicates, respectively. In this paper, we propose a flexible reasoning architecture for these two expressive Semantic Web ontology languages and describe our prototype implementation of the reasoning architecture, based on the well-known FaCT DL reasoner, which witnesses the two key flexibility features of our proposed architecture: 1) It allows users to define their own data types and data type predicates based on built-in ones and 2) new data type reasoners can be added into the architecture without having to change the concept reasoner.
[0]
[0]
[0]
[0]
[0]
[0]
[0]
Index Terms:
Knowledge representation, ontology, user-defined data types and data type predicates, reasoning architecture.
Citation:
Jeff Z. Pan, "A Flexible Ontology Reasoning Architecture for the Semantic Web," IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 2, pp. 246-260, Feb. 2007, doi:10.1109/TKDE.2007.17
Usage of this product signifies your acceptance of the Terms of Use.

