Signifying ontology complexity for knowledge sharing
Ontologies are used in widespread application areas particularly to provide a shared semantically domain knowledge in a declarative formalism for intelligent reasoning. Even ontology enables knowledge sharing however complexity of knowledge being conceptualized in the ontology is critical to the suc...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2009
|
| Online Access: | http://hdl.handle.net/20.500.11937/43123 |
| _version_ | 1848756604011282432 |
|---|---|
| author | Wongthongtham, Pornpit Zadjabbari, Behrang |
| author2 | Godfried Williams |
| author_facet | Godfried Williams Wongthongtham, Pornpit Zadjabbari, Behrang |
| author_sort | Wongthongtham, Pornpit |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Ontologies are used in widespread application areas particularly to provide a shared semantically domain knowledge in a declarative formalism for intelligent reasoning. Even ontology enables knowledge sharing however complexity of knowledge being conceptualized in the ontology is critical to the success of knowledge sharing efforts. Other factor like trust in the source of knowledge can also affect knowledge transfer. In this paper we propose metrics to measure the complexity of ontology for knowledge sharing. We have chosen Software Engineering Ontology as our case study. |
| first_indexed | 2025-11-14T09:14:50Z |
| format | Conference Paper |
| id | curtin-20.500.11937-43123 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:14:50Z |
| publishDate | 2009 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-431232022-12-09T07:12:34Z Signifying ontology complexity for knowledge sharing Wongthongtham, Pornpit Zadjabbari, Behrang Godfried Williams Ion Tutanescu Ontologies are used in widespread application areas particularly to provide a shared semantically domain knowledge in a declarative formalism for intelligent reasoning. Even ontology enables knowledge sharing however complexity of knowledge being conceptualized in the ontology is critical to the success of knowledge sharing efforts. Other factor like trust in the source of knowledge can also affect knowledge transfer. In this paper we propose metrics to measure the complexity of ontology for knowledge sharing. We have chosen Software Engineering Ontology as our case study. 2009 Conference Paper http://hdl.handle.net/20.500.11937/43123 IEEE fulltext |
| spellingShingle | Wongthongtham, Pornpit Zadjabbari, Behrang Signifying ontology complexity for knowledge sharing |
| title | Signifying ontology complexity for knowledge sharing |
| title_full | Signifying ontology complexity for knowledge sharing |
| title_fullStr | Signifying ontology complexity for knowledge sharing |
| title_full_unstemmed | Signifying ontology complexity for knowledge sharing |
| title_short | Signifying ontology complexity for knowledge sharing |
| title_sort | signifying ontology complexity for knowledge sharing |
| url | http://hdl.handle.net/20.500.11937/43123 |