Method of Claim Based Technology Analysis for Strategic Innovation Management Using TPP Related Patents as Case Examples
Analysis of patents reveals trends in technology development in given domains, particularly for commercial adaptation concerning intellectual property (IP) protection. Such an approach allows enterprises to track IPs and evaluate their potential competitiveness vis a vis their competitors. Patent clustering is a core step of the entire patent analysis process for conducting technology analysis and can be utilized to group various patents into relatively consistent categories. Forecasting methods are used to develop optimal R&D strategies and anticipate potential outcomes. However, current clustering methods for such technology forecasting, based on general patent keywords or text mining have difficulty in carrying out categorization efficiently and precisely to provide decision makers with insights into technological trends. This research develops a new methodology of patent claim based technology clustering to predict IP protected technology frontiers as the critical references for the strategic innovation planning. An in depth patent analysis case study is conducted on two photon polymerization (TPP) technology to demonstrate the generalized methodology working in practice. With annotated elements in independent claims of patent documents, patentable features are identified for given patents. The patentable features to achieve the task of simplification have been highlighted. Afterward, patents are clustered in accordance to the identification of patentable features in the simplified sentences to provide the clusters with names and definitions. The proposed approach establishes a unique clustering principle so as to enhance the accuracy and credibility of patent analysis based on the legally protected patent claims. This approach provides insight into the landscape of future technological trends, particularly for TPP technologies.