Chengpu Li
Achieve semantic-based precise component selection via an ontology model interlinking application domain and MVICS.
Li, Chengpu; Liu, Xiaodong; Kennedy, Jessie
Authors
Prof Xiaodong Liu X.Liu@napier.ac.uk
Professor
Prof Jessie Kennedy J.Kennedy@napier.ac.uk
Emeritus Professor
Citation
Li, C., Liu, X., & Kennedy, J. (2010, July). Achieve semantic-based precise component selection via an ontology model interlinking application domain and MVICS. Presented at The 22nd International Conference on Software Engineering and Knowledge Engineering (SEKE'10)
| Conference Name | The 22nd International Conference on Software Engineering and Knowledge Engineering (SEKE'10) |
|---|---|
| Start Date | Jul 1, 2010 |
| End Date | Jul 3, 2010 |
| Publication Date | 2010 |
| Deposit Date | Aug 30, 2010 |
| Publicly Available Date | May 16, 2017 |
| Peer Reviewed | Peer Reviewed |
| Book Title | Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering (SEKE'10) |
| ISBN | 10-1-891706-26-8 |
| Keywords | precise component selection; ontology model; MVICS; |
| Public URL | http://researchrepository.napier.ac.uk/id/eprint/3827 |
| Contract Date | May 16, 2017 |
Files
Achieve semantic-based precise component selection via an ontology model interlinking application domain and MVICS.pdf
(683 Kb)
PDF
You might also like
Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments
(2024)
Presentation / Conference Contribution
Developing Visualisations to Enhance an Insider Threat Product: A Case Study
(2021)
Presentation / Conference Contribution
Embodied online dance learning objectives of CAROUSEL +
(2021)
Presentation / Conference Contribution
Constructing and Evaluating Visualisation Task Classifications: Process and Considerations
(2019)
Presentation / Conference Contribution
BayesPiles: Visualisation Support for Bayesian Network Structure Learning
(2018)
Journal Article