A gyroidal pyramid searching model in digital ecosystems
When ambiguous search terms are submitted to search engines, search results are usually literally but not always semantically relevant to the search terms. Users need to manually pickup relevant results from among thousands of the hit-list items. A gyroidal pyramid information retrieval model is p...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society
2009
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/36667 |
| _version_ | 1848754833670012928 |
|---|---|
| author | Zhu, Dengya Dreher, Heinz |
| author2 | Chang, E. |
| author_facet | Chang, E. Zhu, Dengya Dreher, Heinz |
| author_sort | Zhu, Dengya |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | When ambiguous search terms are submitted to search engines, search results are usually literally but not always semantically relevant to the search terms. Users need to manually pickup relevant results from among thousands of the hit-list items. A gyroidal pyramid information retrieval model is proposed which intends to refine the results by grouping them into a predefined Web ontology, lets users choose which category is of interest, and thus presents the users with refined results. Users are allowed to choose subcategory to further re-fine the results, or choose another interesting category. Pre-liminary experimental results are positive and encouraging. |
| first_indexed | 2025-11-14T08:46:42Z |
| format | Conference Paper |
| id | curtin-20.500.11937-36667 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:46:42Z |
| publishDate | 2009 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-366672022-12-09T06:09:43Z A gyroidal pyramid searching model in digital ecosystems Zhu, Dengya Dreher, Heinz Chang, E. Damiani, E. Hussain, F.K. information retrieval interactive information retrieval interactive models When ambiguous search terms are submitted to search engines, search results are usually literally but not always semantically relevant to the search terms. Users need to manually pickup relevant results from among thousands of the hit-list items. A gyroidal pyramid information retrieval model is proposed which intends to refine the results by grouping them into a predefined Web ontology, lets users choose which category is of interest, and thus presents the users with refined results. Users are allowed to choose subcategory to further re-fine the results, or choose another interesting category. Pre-liminary experimental results are positive and encouraging. 2009 Conference Paper http://hdl.handle.net/20.500.11937/36667 Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society restricted |
| spellingShingle | information retrieval interactive information retrieval interactive models Zhu, Dengya Dreher, Heinz A gyroidal pyramid searching model in digital ecosystems |
| title | A gyroidal pyramid searching model in digital ecosystems |
| title_full | A gyroidal pyramid searching model in digital ecosystems |
| title_fullStr | A gyroidal pyramid searching model in digital ecosystems |
| title_full_unstemmed | A gyroidal pyramid searching model in digital ecosystems |
| title_short | A gyroidal pyramid searching model in digital ecosystems |
| title_sort | gyroidal pyramid searching model in digital ecosystems |
| topic | information retrieval interactive information retrieval interactive models |
| url | http://hdl.handle.net/20.500.11937/36667 |