Research on Method for Collaborative Acquisition of Expertise Domain Knowledge by Multiple People
Rattachement africain : ru, cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Addressing the problems of complex forms, low structurization and insufficient reliability of automatic acquisition of professional knowledge sources in the manufacturing industry, this paper proposes an improved multi-person collaborative knowledge acquisition method for professional fields. Drawing on the quality control concept of “three reviews and three proofs” in the publishing industry and combining the characteristics of professional knowledge acquisition tasks, this method constructs a knowledge acquisition process with the collaborative participation of editors and professionals. This paper designs a quality assurance mechanism from three dimensions, namely personnel quality, process quality and result quality; introduces triangular fuzzy numbers to evaluate personnel quality; and establishes a process quality control model under multi-level inspection. Taking the knowledge acquisition project of CNC Machining Manual as an example, 39 professionals completed large-scale professional knowledge processing tasks within 60 working days. Compared with the traditional manual knowledge acquisition method, under similar workload conditions, the proposed method reduces the task completion time by approximately 40% and improves knowledge quality by approximately 10%. The research results show that this method can enhance the organization, inspectability and result stability of the complex professional knowledge acquisition process, and is suitable for constructing vertical domain knowledge bases with high quality requirements.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Research on Method for Collaborative Acquisition of Expertise Domain Knowledge by Multiple People
- Date Crossref
- 25/06/2026
- Éditeur
- MDPI AG
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Peter the Great St. Petersburg Polytechnic University pays non établi dans la noticeUniversité ou école supérieure
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Xi'an Polytechnic University pays non établi dans la noticeUniversité ou école supérieure
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Xi'an Technological University pays non établi dans la noticeUniversité ou école supérieure
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School of Mechatronic Engineering pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Computer Science and Engineering pays non établi dans la noticeUniversité ou école supérieure
Peter the Great St. Petersburg Polytechnic University, Xi'an Polytechnic University et Xi'an Technological University, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.