A concept-based text classification system for manufacturing information retrieval
Intensive global competition is pushing manufacturing companies ever harder in their strife for constant profit. As Singapore evolves into a knowledge based economy, manufacturing companies here are increasingly concerned about the acquisition, management and utilization of advanced R&D informat...
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| Format: | Theses and Dissertations |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/60589 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-605892020-11-01T11:33:18Z A concept-based text classification system for manufacturing information retrieval Liu, Ying Tor Shu Beng School of Mechanical and Aerospace Engineering Singapore-MIT Alliance Programme DRNTU::Engineering::Manufacturing Intensive global competition is pushing manufacturing companies ever harder in their strife for constant profit. As Singapore evolves into a knowledge based economy, manufacturing companies here are increasingly concerned about the acquisition, management and utilization of advanced R&D information and knowledge from both internal organizations and external resources, like e-journals and digital libraries. Doctor of Philosophy (IMST) 2014-05-28T09:21:34Z 2014-05-28T09:21:34Z 2005 2005 Thesis http://hdl.handle.net/10356/60589 en 196 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Manufacturing |
| spellingShingle |
DRNTU::Engineering::Manufacturing Liu, Ying A concept-based text classification system for manufacturing information retrieval |
| description |
Intensive global competition is pushing manufacturing companies ever harder in their strife for constant profit. As Singapore evolves into a knowledge based economy, manufacturing companies here are increasingly concerned about the acquisition, management and utilization of advanced R&D information and knowledge from both internal organizations and external resources, like e-journals and digital libraries. |
| author2 |
Tor Shu Beng |
| author_facet |
Tor Shu Beng Liu, Ying |
| format |
Theses and Dissertations |
| author |
Liu, Ying |
| author_sort |
Liu, Ying |
| title |
A concept-based text classification system for manufacturing information retrieval |
| title_short |
A concept-based text classification system for manufacturing information retrieval |
| title_full |
A concept-based text classification system for manufacturing information retrieval |
| title_fullStr |
A concept-based text classification system for manufacturing information retrieval |
| title_full_unstemmed |
A concept-based text classification system for manufacturing information retrieval |
| title_sort |
concept-based text classification system for manufacturing information retrieval |
| publishDate |
2014 |
| url |
http://hdl.handle.net/10356/60589 |
| _version_ |
1688665528382521344 |