WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity

被引:9
作者
Zuo, Haoyu [1 ]
Jing, Qianzhi [2 ]
Song, Tianqi [2 ]
Sun, Lingyun [2 ,3 ]
Childs, Peter [1 ]
Chen, Liuqing [2 ,3 ]
机构
[1] Imperial Coll London, Dyson Sch Design Engn, London SW7 2AZ, England
[2] Zhejiang Univ, Dept Comp Sci & Technol, Hangzhou 310030, Peoples R China
[3] Zhejiang Univ, Singapore Innovat & AI Joint Res Lab, Hangzhou 310030, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
creativity; design; concept generation; data-driven-design; knowledge discovery; semantic network; IDEA GENERATION; WEB; TECHNOLOGY; PRODUCT; TOOL;
D O I
10.3390/jintelligence10040103
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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.
引用
收藏
页数:24
相关论文
共 69 条
  • [1] Ackoff R.L., 1989, J. Appl. Syst. Anal., V16, P3
  • [2] [Anonymous], 2007, P 16 INT C WORLD WID, DOI [DOI 10.1145/1242572.1242667, 10.1145/1242572.1242667]
  • [3] DBpedia: A nucleus for a web of open data
    Auer, Soeren
    Bizer, Christian
    Kobilarov, Georgi
    Lehmann, Jens
    Cyganiak, Richard
    Ives, Zachary
    [J]. SEMANTIC WEB, PROCEEDINGS, 2007, 4825 : 722 - +
  • [4] Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations
    Bae, Suyun 'Sandra'
    Kwon, Oh-Hyun
    Chandrasegaran, Senthil
    Ma, Kwan-Liu
    [J]. PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), 2020,
  • [5] 3-D printing: The new industrial revolution
    Berman, Barry
    [J]. BUSINESS HORIZONS, 2012, 55 (02) : 155 - 162
  • [6] Creativity and artificial intelligence
    Boden, MA
    [J]. ARTIFICIAL INTELLIGENCE, 1998, 103 (1-2) : 347 - 356
  • [7] Bojanowski P., 2017, Trans. Assoc. Comput. Linguist., V5, P135, DOI [10.1162/tacl_a_00051, 10.1162/tacla00051, DOI 10.1162/TACLA00051]
  • [8] Design creativity and the semantic analysis of conversations in the design studio
    Casakin, Hernan
    Georgiev, Georgi V.
    [J]. INTERNATIONAL JOURNAL OF DESIGN CREATIVITY AND INNOVATION, 2021, 9 (01) : 61 - 77
  • [9] Investigating a Mixed-Initiative Workflow for Digital Mind-Mapping
    Chen, Ting-Ju
    Krishnamurthy, Vinayak R.
    [J]. JOURNAL OF MECHANICAL DESIGN, 2020, 142 (10)
  • [10] Automated Extraction of Function Knowledge From Text
    Cheong, Hyunmin
    Li, Wei
    Cheung, Adrian
    Nogueira, Andy
    Iorio, Francesco
    [J]. JOURNAL OF MECHANICAL DESIGN, 2017, 139 (11)