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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chih-Jian Hu Chung-Chih Cheng Hsiao-Yuan Wu Nien-Tzu Chao |
| Copyright Year | 2014 |
| Description | Author affiliation: Green Energy & Environ. Res. Labs., ITRI, Hsinchu, Taiwan (Chih-Jian Hu; Chung-Chih Cheng; Hsiao-Yuan Wu; Nien-Tzu Chao) |
| Abstract | Lighting system designers increasingly rely on information from building environment and lighting elements, such as the requirements from occupants or documents on lighting elements, to facilitate their development processes. However, most of current systems are unable to assist designer to integrate components into a schematic design for deploying a suitable light system for particular building environment. To address this problem, an ontology based recommendation mechanism is developed for designing lighting system projects. The proposed method was constructed with reusable project analysis and term-based ontology analysis. By examining an ontology-based design for lighting control system, designer can observe ranks of and similarities among alternatives by system requirements or system schemas, iteratively select historical project, and adjust system schemas for developing new projects. |
| Sponsorship | IEEE Circuits Syst. Soc. |
| Starting Page | 239 |
| Ending Page | 243 |
| File Size | 319735 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479952779 |
| DOI | 10.1109/IS3C.2014.71 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-10 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Context Reasoning Knowledge Sharing Ontology Lighting System Buildings Ontologies Information retrieval Smart Recommendation Formal concept analysis Term Frequency (TF) Daylight Lighting Feature extraction Inverse Document Frequency (IDF) |
| Content Type | Text |
| Resource Type | Article |
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