| Author: | Cheng, Kwok Kwun Raymond |
| Title: | Matching research output with everyday applications through web ontology language techniques |
| Advisors: | Ngai, Cindy (CBS) |
| Degree: | DALS |
| Year: | 2024 |
| Department: | Faculty of Humanities |
| Pages: | 1 volume (unpaged) : color illustrations |
| Language: | English |
| Abstract: | The commercialization of research began in the late 1970s and was originally designed as a political tool to help create employment opportunities and revive the failing U.S. economy (Garside, 2012, p.151; Takenaka, 2005, p.27). Yet, when universities were established for teaching and exploration of knowledge, and not as a booster for reviving the economy, the pressure on university researchers in getting their research work to be commercialized became higher than ever (Ismail, K., Wan Omar, W.Z., & Majid, I.A., 2011). With most technology transfer offices of universities lacking the proper skills to help researchers locate and map business opportunities by identifying what can be patented (Ismail, K., Mason, C., Cooper, S., Wan Omar, W.Z., & Majid, I.A., 2008, p.166), a new mix-matching scheme is in dire need to help researchers (especially those in non-technical fields of research) explore and see what they can patent and, hence, apply in real world scenarios and, eventually, commercialize. This study aims to solve this problem by exploring for, postulating, and testing on a new linguistic-based technique to bridge intended actions of research findings with everyday real-life application instances through OWL ontology, RDF schema construction, and corpora searching. Results show that through OWL modelling, semantic prosodies of the intended usage and actions of an OWL-modeled research can be used to identify real-life scenarios of everyday applications and the expected usage of the intended action of general public can hence be found, and hence, matched. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 7517.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.91 MB | Adobe PDF | View/Open |
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