Knowledge Management in SMEs: Applying Link Prediction for Assisted Decision Making
摘要
Knowledge Graph Completion via Link Prediction (LP) is an important topic for current studies. In this paper, we present a state-of-the-art method to support decision-making within the context of project planning in small and medium-sized enterprises. A particular focus is on creating a suitable ontology based on real company data, which serves as a basis for LP. This work introduces a novel approach to assist managers in decision making for better use of human resources. By accurately predicting which teams are suitable to work on a new project, we aim to significantly reduce the time needed for manual assignment.