Classification of Patents Into Knowledge Fields: Using a Proposed Knowledge Mapping Taxonomy (KnowMap)

Various platforms, including patent systems and repositories like GitHub and arXiv, support knowledge dissemination across domains. As knowledge increasingly spans multiple disciplines, there is a need to track innovations that intersect various fields. Despite available data, a comprehensive knowledge taxonomy for effectively tracking innovations across domains is lacking. Developing such a taxonomy and employing automated classification methods will enhance the ability to track shared knowledge. In this work, we first developed a knowledge taxonomy based on the CPC schema. We formulated the classification of textual data into defined knowledgefields as amulti-label problem. Then, we evaluated the effectiveness of the classification models by f ine-tuning pre-trained transformer language models. The multilabel framework enables the tracking of knowledge trends at the intersection of various disciplines.