A Semantic Information Management Approach for Improving Bridge Maintenance based on Advanced Constraint Management
Bridge rehabilitation projects are important for transportation infrastructures. This research proposes a novel information management approach based on state-of-the-art deep learning models and ontologies. The approach can automatically extract, integrate, complete, and search for project knowledge...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/86728 |
| _version_ | 1848764860193570816 |
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| author | Wu, Chengke |
| author_facet | Wu, Chengke |
| author_sort | Wu, Chengke |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Bridge rehabilitation projects are important for transportation infrastructures. This research proposes a novel information management approach based on state-of-the-art deep learning models and ontologies. The approach can automatically extract, integrate, complete, and search for project knowledge buried in unstructured text documents. The approach on the one hand facilitates implementation of modern management approaches, i.e., advanced working packaging to delivery success bridge rehabilitation projects, on the other hand improves information management practices in the construction industry. |
| first_indexed | 2025-11-14T11:26:04Z |
| format | Thesis |
| id | curtin-20.500.11937-86728 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:26:04Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-867282021-12-02T02:49:03Z A Semantic Information Management Approach for Improving Bridge Maintenance based on Advanced Constraint Management Wu, Chengke Bridge rehabilitation projects are important for transportation infrastructures. This research proposes a novel information management approach based on state-of-the-art deep learning models and ontologies. The approach can automatically extract, integrate, complete, and search for project knowledge buried in unstructured text documents. The approach on the one hand facilitates implementation of modern management approaches, i.e., advanced working packaging to delivery success bridge rehabilitation projects, on the other hand improves information management practices in the construction industry. 2021 Thesis http://hdl.handle.net/20.500.11937/86728 Curtin University fulltext |
| spellingShingle | Wu, Chengke A Semantic Information Management Approach for Improving Bridge Maintenance based on Advanced Constraint Management |
| title | A Semantic Information Management Approach for Improving
Bridge Maintenance based on Advanced Constraint Management |
| title_full | A Semantic Information Management Approach for Improving
Bridge Maintenance based on Advanced Constraint Management |
| title_fullStr | A Semantic Information Management Approach for Improving
Bridge Maintenance based on Advanced Constraint Management |
| title_full_unstemmed | A Semantic Information Management Approach for Improving
Bridge Maintenance based on Advanced Constraint Management |
| title_short | A Semantic Information Management Approach for Improving
Bridge Maintenance based on Advanced Constraint Management |
| title_sort | semantic information management approach for improving
bridge maintenance based on advanced constraint management |
| url | http://hdl.handle.net/20.500.11937/86728 |