Conceptual modeling of knowledge based systems for digital ecosystems
The agents or entities frequently require intelligence in the form of knowledge based systems(KBS) to support many of their functions. In this Paper we discuss how these KBSs are conceptual are conceptually modeled as a first step towards their development. In particular, we show to effectively mode...
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers (IEEE)
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/11243 |
| _version_ | 1848747753206710272 |
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| author | Dillon, Darshan Dillon, Tharam S. |
| author2 | E. Chang |
| author_facet | E. Chang Dillon, Darshan Dillon, Tharam S. |
| author_sort | Dillon, Darshan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The agents or entities frequently require intelligence in the form of knowledge based systems(KBS) to support many of their functions. In this Paper we discuss how these KBSs are conceptual are conceptually modeled as a first step towards their development. In particular, we show to effectively model all the different knowledge constructs using an extended definition of an object. The notation used to express this is UML [Booch 2005]. |
| first_indexed | 2025-11-14T06:54:09Z |
| format | Conference Paper |
| id | curtin-20.500.11937-11243 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:54:09Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-112432022-11-21T06:47:07Z Conceptual modeling of knowledge based systems for digital ecosystems Dillon, Darshan Dillon, Tharam S. E. Chang F. Hussain The agents or entities frequently require intelligence in the form of knowledge based systems(KBS) to support many of their functions. In this Paper we discuss how these KBSs are conceptual are conceptually modeled as a first step towards their development. In particular, we show to effectively model all the different knowledge constructs using an extended definition of an object. The notation used to express this is UML [Booch 2005]. 2008 Conference Paper http://hdl.handle.net/20.500.11937/11243 10.1109/DEST.2008.4635224 Institute of Electrical and Electronics Engineers (IEEE) fulltext |
| spellingShingle | Dillon, Darshan Dillon, Tharam S. Conceptual modeling of knowledge based systems for digital ecosystems |
| title | Conceptual modeling of knowledge based systems for digital ecosystems |
| title_full | Conceptual modeling of knowledge based systems for digital ecosystems |
| title_fullStr | Conceptual modeling of knowledge based systems for digital ecosystems |
| title_full_unstemmed | Conceptual modeling of knowledge based systems for digital ecosystems |
| title_short | Conceptual modeling of knowledge based systems for digital ecosystems |
| title_sort | conceptual modeling of knowledge based systems for digital ecosystems |
| url | http://hdl.handle.net/20.500.11937/11243 |