Abstract
In recent years, importance of patents/advanced technologies has been realized and thus applications of patent licensing knowledge have been stressed. As a result, all typical knowledge management activities (e.g., knowledge extraction, storage, and reuse) for have become the key issues for management of patent licensing knowledge. Traditionally, the contents of patent licensing documents have to be recognized by domain experts. Concerning complexity of different types of patent licensing documents, this paper develops an approach for structure extraction and knowledge representation of the patent licensing documents. The algorithms for knowledge extraction, fragmentation, natural language processing (NLP), knowledge representation and resource description framework (RDF) are applied for automatic and structured representation of patent licensing documents. In addition, a Web-based knowledge management system for patent licensing documents is also developed in order to facilitate exchange of patent licensing knowledge. The aim of this research is to establish an applicable environment for sharing of patent licensing knowledge and enhance the efficiency for patent licensing knowledge management.