Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development
This paper presents a novel approach for extracting knowledge from web-based application source code in supplementing and assisting ontology development from database schemas. The structure of web-based application source code is defined in order to distinguish different kinds of knowledge within th...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/27750 |
| _version_ | 1848752349506437120 |
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| author | Zhao, Shuxin Chang, Elizabeth Dillon, Tharam S. |
| author2 | R. Alhajj |
| author_facet | R. Alhajj Zhao, Shuxin Chang, Elizabeth Dillon, Tharam S. |
| author_sort | Zhao, Shuxin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a novel approach for extracting knowledge from web-based application source code in supplementing and assisting ontology development from database schemas. The structure of web-based application source code is defined in order to distinguish different kinds of knowledge within the source code for ontology development. The connections between the relevant parts of web application source code and the backend database schema with their various forms are explicitly specified in detail. A knowledge processing and integration model for extracting and integrating the knowledge embedded in the source code for ontology development is then proposed. |
| first_indexed | 2025-11-14T08:07:13Z |
| format | Conference Paper |
| id | curtin-20.500.11937-27750 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:07:13Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-277502022-11-21T06:47:08Z Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development Zhao, Shuxin Chang, Elizabeth Dillon, Tharam S. R. Alhajj K. Zhang This paper presents a novel approach for extracting knowledge from web-based application source code in supplementing and assisting ontology development from database schemas. The structure of web-based application source code is defined in order to distinguish different kinds of knowledge within the source code for ontology development. The connections between the relevant parts of web application source code and the backend database schema with their various forms are explicitly specified in detail. A knowledge processing and integration model for extracting and integrating the knowledge embedded in the source code for ontology development is then proposed. 2008 Conference Paper http://hdl.handle.net/20.500.11937/27750 Institute of Electrical and Electronics Engineers (IEEE) fulltext |
| spellingShingle | Zhao, Shuxin Chang, Elizabeth Dillon, Tharam S. Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development |
| title | Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development |
| title_full | Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development |
| title_fullStr | Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development |
| title_full_unstemmed | Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development |
| title_short | Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development |
| title_sort | knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development |
| url | http://hdl.handle.net/20.500.11937/27750 |