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WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity
Data-driven design is a process to reuse data sources and provide valuable information to provoke creative ideas in the stages of design. However, existing semantic networks for design creativity are built on data sources restricted to technological and scientific information. Existing studies build...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680257/ https://www.ncbi.nlm.nih.gov/pubmed/36412783 http://dx.doi.org/10.3390/jintelligence10040103 |
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author | Zuo, Haoyu Jing, Qianzhi Song, Tianqi Sun, Lingyun Childs, Peter Chen, Liuqing |
author_facet | Zuo, Haoyu Jing, Qianzhi Song, Tianqi Sun, Lingyun Childs, Peter Chen, Liuqing |
author_sort | Zuo, Haoyu |
collection | PubMed |
description | Data-driven design is a process to reuse data sources and provide valuable information to provoke creative ideas in the stages of design. However, existing semantic networks for design creativity are built on data sources restricted to technological and scientific information. Existing studies build the edges of a semantic network on statistical or semantic relationships, which are less likely to make full use of the benefits from both types of relationships and discover implicit knowledge for design creativity. Therefore, to overcome the gaps, we constructed WikiLink, a semantic network based on Wikipedia, which is an integrated source of general knowledge and specific knowledge, with broad coverage of disciplines. The weight in WikiLink fuses both the statistic and semantic weights between concepts instead of simply one type of weight, and four algorithms are developed for inspiring new ideas. Evaluation experiments are undertaken, and the results show that the network is characterised by high coverage of terms, relationships and disciplines, which demonstrates and supports the network’s effectiveness and usefulness. A demonstration and case study results indicate that WikiLink can serve as an idea generation tool for creativity in conceptual design. The source code of WikiLink and the backend data are provided open-source for more users to explore and develop. |
format | Online Article Text |
id | pubmed-9680257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96802572022-11-23 WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity Zuo, Haoyu Jing, Qianzhi Song, Tianqi Sun, Lingyun Childs, Peter Chen, Liuqing J Intell Article Data-driven design is a process to reuse data sources and provide valuable information to provoke creative ideas in the stages of design. However, existing semantic networks for design creativity are built on data sources restricted to technological and scientific information. Existing studies build the edges of a semantic network on statistical or semantic relationships, which are less likely to make full use of the benefits from both types of relationships and discover implicit knowledge for design creativity. Therefore, to overcome the gaps, we constructed WikiLink, a semantic network based on Wikipedia, which is an integrated source of general knowledge and specific knowledge, with broad coverage of disciplines. The weight in WikiLink fuses both the statistic and semantic weights between concepts instead of simply one type of weight, and four algorithms are developed for inspiring new ideas. Evaluation experiments are undertaken, and the results show that the network is characterised by high coverage of terms, relationships and disciplines, which demonstrates and supports the network’s effectiveness and usefulness. A demonstration and case study results indicate that WikiLink can serve as an idea generation tool for creativity in conceptual design. The source code of WikiLink and the backend data are provided open-source for more users to explore and develop. MDPI 2022-11-14 /pmc/articles/PMC9680257/ /pubmed/36412783 http://dx.doi.org/10.3390/jintelligence10040103 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zuo, Haoyu Jing, Qianzhi Song, Tianqi Sun, Lingyun Childs, Peter Chen, Liuqing WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity |
title | WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity |
title_full | WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity |
title_fullStr | WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity |
title_full_unstemmed | WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity |
title_short | WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity |
title_sort | wikilink: an encyclopedia-based semantic network for design creativity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680257/ https://www.ncbi.nlm.nih.gov/pubmed/36412783 http://dx.doi.org/10.3390/jintelligence10040103 |
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