Association for Computing Machinery
Patenting is one of the most important ways to protect company's core business concepts and proprietary technologies. Analyzing large volume of patent data can uncover the potential competitive or collaborative relations among companies in certain areas, which can provide valuable information to develop strategies for Intellectual Property (IP), R&D, and marketing. In this paper, the authors present a novel topic-driven patent analysis and mining system. Instead of merely searching over patent content, they focus on studying the heterogeneous patent network derived from the patent database, which is represented by several types of objects (companies, inventors and technical content) jointly evolving over time.