TY - GEN
T1 - Design knowledge representation with technology semantic network
AU - Sarica, Serhad
AU - Luo, Jianxi
PY - 2021/8
Y1 - 2021/8
N2 - Engineers often need to discover and learn designs from unfamiliar domains for inspiration or other particular uses. However, the complexity of the technical design descriptions and the unfamiliarity to the domain make it hard for engineers to comprehend the function, behavior, and structure of a design. To help engineers quickly understand a complex technical design description new to them, one approach is to represent it as a network graph of the design-related entities and their relations as an abstract summary of the design. While graph or network visualizations are widely adopted in the engineering design literature, the challenge remains in retrieving the design entities and deriving their relations. In this paper, we propose a network mapping method that is powered by Technology Semantic Network (TechNet). Through a case study, we showcase how TechNet's unique characteristic of being trained on a large technology-related data source advantages itself over common-sense knowledge bases, such as WordNet and ConceptNet, for design knowledge representation. © ICED 2021. All right reserved.
AB - Engineers often need to discover and learn designs from unfamiliar domains for inspiration or other particular uses. However, the complexity of the technical design descriptions and the unfamiliarity to the domain make it hard for engineers to comprehend the function, behavior, and structure of a design. To help engineers quickly understand a complex technical design description new to them, one approach is to represent it as a network graph of the design-related entities and their relations as an abstract summary of the design. While graph or network visualizations are widely adopted in the engineering design literature, the challenge remains in retrieving the design entities and deriving their relations. In this paper, we propose a network mapping method that is powered by Technology Semantic Network (TechNet). Through a case study, we showcase how TechNet's unique characteristic of being trained on a large technology-related data source advantages itself over common-sense knowledge bases, such as WordNet and ConceptNet, for design knowledge representation. © ICED 2021. All right reserved.
KW - Design informatics
KW - Knowledge Representation
KW - Semantic data processing
KW - Technology Semantic Network
KW - Visualisation
UR - https://www.scopus.com/pages/publications/85117789537
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85117789537&origin=recordpage
U2 - 10.1017/pds.2021.104
DO - 10.1017/pds.2021.104
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - Proceedings of the Design Society
SP - 1043
EP - 1052
BT - INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN, ICED21
A2 - Ion, Bill
PB - Cambridge University Press
T2 - 23rd International Conference on Engineering Design (ICED 2021)
Y2 - 16 August 2021 through 20 August 2021
ER -