Research on the Semantic Model of R&D and Design Resources of Group Enterprises
- DOI
- 10.2991/978-94-6463-058-9_35How to use a DOI?
- Keywords
- R & D and design resources; Resource classification; Semantics; Information model; Attribute extraction
- Abstract
In order to solve the problems of scattered and isolated R & D and design resources, low sharing degree and low collaboration efficiency among group manufacturing enterprises, affiliated enterprises and factories, based on the in-depth study of the connotation and characteristics of R & D and design resources, an R & D and design resource information model of group enterprises is established based on the concept of object-oriented and semantic knowledge, The software resources of a cloud manufacturing platform are described. Finally, the attribute extraction of an enterprise software resource list information text is carried out to realize the application and verification of the resource information model. The information model established in this paper classifies and defines the internal and external resources of the group enterprise uniformly and effectively, and realizes the dynamic scalability and automatic inheritance of resource dimensions, attributes and descriptions.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lei WANG AU - Zhengang ZHAO AU - Nan ZHAO AU - LI Li AU - Yimin HUANG AU - Jiangtao Huang AU - Qingpeng Wang PY - 2022 DA - 2022/12/27 TI - Research on the Semantic Model of R&D and Design Resources of Group Enterprises BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 196 EP - 205 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_35 DO - 10.2991/978-94-6463-058-9_35 ID - WANG2022 ER -