Since the invention of printing, the problem of classifying knowledge has only increased. With digitization, the amount of data to be classified, produced by a larger and, above all, better-educated ...

Abstract: Knowledge classification is a critical problem that has to be solved in implementation of knowledge management. However, a highlight issue is that the existing knowledge classification ...

This is a simple Gradio app that accepts a single text input and predicts whether the input text is considered a skill/competence or knowledge. The app uses a machine learning model trained on the ...

Assessing Large Language Models' Knowledge of Occupational Taxonomy Evaluates LLMs’ internalized understanding of the O*NET-SOC 2019 taxonomy through recall and recognition tasks. Occupation and Skill ...

Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...