TY - GEN
T1 - An automated method for generating crowdsourcing design tasks based on knowledge graphs
AU - Liu, Minxia
AU - Lan, Junde
AU - Gong, Lin
AU - Mo, Zhenchong
AU - Yuan, Xinyou
AU - Zhao, Xirui
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the rapid development of Internet technology and sharing economy model, especially the popularity of mobile Internet has led to the outbreak of massive user requirement and various modes of personalized product requirement, so new design models such as crowdsourcing design and group wisdom collaborative design have emerged for massive personalized requirement. In this crowdsourcing context, the automated task generation for the design process is an important part to distinguish the new design model from traditional design, and is expected to solve the problem of lack of means to automate the design task generation, which is the core driving force for the downstream design stage such as resource matching of design platform. This paper is oriented to the product design process and mainly includes the following contents: this paper addresses the problem of automated generation of crowdsourcing design tasks, and carries out research on the construction of the crowdsourcing design requirements graph and the mapping of crowdsourcing design requirements to crowdsourcing design tasks. Based on the knowledge graph approach, Neo4j software is used to construct a multi-domain user requirement graphs, extract crowdsourcing design requirement entities as well as obtain word vectors based on Word2Vec model and perform cosine similarity calculation between entities to support the accurate mapping of user requirements to crowdsourcing design tasks and generate crowdsourcing design task packages. In order to integrate a crowdsourcing design task automated generation tool for crowdsourcing designers, a crowdsourcing design task automated generation method is proposed. Based on the crowdsourcing design task automation generation method proposed in this paper, the crowdsourcing design task automation generation tool is developed and validated by application examples, and the shortcomings of the study are discussed, and the outlook on the subsequent research directions is proposed.
AB - With the rapid development of Internet technology and sharing economy model, especially the popularity of mobile Internet has led to the outbreak of massive user requirement and various modes of personalized product requirement, so new design models such as crowdsourcing design and group wisdom collaborative design have emerged for massive personalized requirement. In this crowdsourcing context, the automated task generation for the design process is an important part to distinguish the new design model from traditional design, and is expected to solve the problem of lack of means to automate the design task generation, which is the core driving force for the downstream design stage such as resource matching of design platform. This paper is oriented to the product design process and mainly includes the following contents: this paper addresses the problem of automated generation of crowdsourcing design tasks, and carries out research on the construction of the crowdsourcing design requirements graph and the mapping of crowdsourcing design requirements to crowdsourcing design tasks. Based on the knowledge graph approach, Neo4j software is used to construct a multi-domain user requirement graphs, extract crowdsourcing design requirement entities as well as obtain word vectors based on Word2Vec model and perform cosine similarity calculation between entities to support the accurate mapping of user requirements to crowdsourcing design tasks and generate crowdsourcing design task packages. In order to integrate a crowdsourcing design task automated generation tool for crowdsourcing designers, a crowdsourcing design task automated generation method is proposed. Based on the crowdsourcing design task automation generation method proposed in this paper, the crowdsourcing design task automation generation tool is developed and validated by application examples, and the shortcomings of the study are discussed, and the outlook on the subsequent research directions is proposed.
KW - Crowdsourcing Design
KW - Knowledge Graph
KW - Task Generation
UR - http://www.scopus.com/inward/record.url?scp=85173626177&partnerID=8YFLogxK
U2 - 10.1109/ICIEA58696.2023.10241610
DO - 10.1109/ICIEA58696.2023.10241610
M3 - Conference contribution
AN - SCOPUS:85173626177
T3 - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
SP - 1591
EP - 1596
BT - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
A2 - Cai, Wenjian
A2 - Yang, Guilin
A2 - Qiu, Jun
A2 - Gao, Tingting
A2 - Jiang, Lijun
A2 - Zheng, Tianjiang
A2 - Wang, Xinli
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
Y2 - 18 August 2023 through 22 August 2023
ER -