<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Facing the complex knowledge of power grid enterprises, this paper builds and designs a system for sharing project knowledge. The design pattern of MVC is adopted as the business logic architecture of the system, and a large-scale distributed application based on JavaEE architecture is used. In the knowledge recommendation method, a recommendation algorithm based on knowledge context is proposed, and the similarity between different entities is calculated by matching the knowledge ontology, thus realizing the recommendation of enterprise knowledge based on entity similarity. Meanwhile, the recommendation effect is analyzed by stress testing the recommendation service interface as a performance test characterization of the system and combined with the hit rate. The hit rate of recommendation based on knowledge context is 0.124 higher than that of BPRMF, 0.104 higher than that of NeuMF, and 0.083 higher than that of CKE. This system is able to effectively improve the knowledge-sharing efficiency of power grid enterprises.</p>
</abstract>

Facing the complex knowledge of power grid enterprises, this paper builds and designs a system for sharing project knowledge. The design pattern of MVC is adopted as the business logic architecture of the system, and a large-scale distributed application based on JavaEE architecture is used. In the knowledge recommendation method, a recommendation algorithm based on knowledge context is proposed, and the similarity between different entities is calculated by matching the knowledge ontology, thus realizing the recommendation of enterprise knowledge based on entity similarity. Meanwhile, the recommendation effect is analyzed by stress testing the recommendation service interface as a performance test characterization of the system and combined with the hit rate. The hit rate of recommendation based on knowledge context is 0.124 higher than that of BPRMF, 0.104 higher than that of NeuMF, and 0.083 higher than that of CKE. This system is able to effectively improve the knowledge-sharing efficiency of power grid enterprises.

Realization and Application of Knowledge Sharing Recommendation System for Power Grid Enterprises

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Facing the complex knowledge of power grid enterprises, this paper builds and designs a system for sharing project knowledge. The design pattern of MVC is...

Realization and Application of Knowledge Sharing Recommendation System for Power Grid Enterprises

Published Online: Nov 08, 2023

Page range: -

Received: Jan 01, 2023

Accepted: May 19, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01063

Keywords
Knowledge sharing recommendation, Knowledge context, Entity similarity, Ontology matching, Grid enterprise

© 2023 Zhengping Lin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Realization and Application of Knowledge Sharing Recommendation System for Power Grid Enterprises

Published Online: Nov 08, 2023

Page range: -

Received: Jan 01, 2023

Accepted: May 19, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01063

KeywordsKnowledge sharing recommendation, Knowledge context, Entity similarity, Ontology matching, Grid enterprise

© 2023 Zhengping Lin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Knowledge sharing recommendation, Knowledge context, Entity similarity, Ontology matching, Grid enterprise