An integrating text retrieval framework for Digital Ecosystems Paradigm
The purpose of the research is to provide effective information retrieval services for digital ?organisms? in a digital ecosystem by leveraging the power of Web searching technology. A novel integrating digital ecosystem search framework (a new digital organism) is proposed which employs the Web sea...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
IEEE
2007
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/43559 |
| _version_ | 1848756731475132416 |
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| author | Zhu, Dengya Dreher, Heinz |
| author_facet | Zhu, Dengya Dreher, Heinz |
| author_sort | Zhu, Dengya |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The purpose of the research is to provide effective information retrieval services for digital ?organisms? in a digital ecosystem by leveraging the power of Web searching technology. A novel integrating digital ecosystem search framework (a new digital organism) is proposed which employs the Web search technology and traditional database searching techniques to provide economic organisms with comprehensive, dynamic, and organization-oriented information retrieval ranging from the Internet to personal (semantic) desktop. |
| first_indexed | 2025-11-14T09:16:51Z |
| format | Conference Paper |
| id | curtin-20.500.11937-43559 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:16:51Z |
| publishDate | 2007 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-435592017-09-13T16:03:15Z An integrating text retrieval framework for Digital Ecosystems Paradigm Zhu, Dengya Dreher, Heinz Information retrieval crawler categorization self-organizing search The purpose of the research is to provide effective information retrieval services for digital ?organisms? in a digital ecosystem by leveraging the power of Web searching technology. A novel integrating digital ecosystem search framework (a new digital organism) is proposed which employs the Web search technology and traditional database searching techniques to provide economic organisms with comprehensive, dynamic, and organization-oriented information retrieval ranging from the Internet to personal (semantic) desktop. 2007 Conference Paper http://hdl.handle.net/20.500.11937/43559 10.1109/DEST.2007.372000 IEEE fulltext |
| spellingShingle | Information retrieval crawler categorization self-organizing search Zhu, Dengya Dreher, Heinz An integrating text retrieval framework for Digital Ecosystems Paradigm |
| title | An integrating text retrieval framework for Digital Ecosystems Paradigm |
| title_full | An integrating text retrieval framework for Digital Ecosystems Paradigm |
| title_fullStr | An integrating text retrieval framework for Digital Ecosystems Paradigm |
| title_full_unstemmed | An integrating text retrieval framework for Digital Ecosystems Paradigm |
| title_short | An integrating text retrieval framework for Digital Ecosystems Paradigm |
| title_sort | integrating text retrieval framework for digital ecosystems paradigm |
| topic | Information retrieval crawler categorization self-organizing search |
| url | http://hdl.handle.net/20.500.11937/43559 |