Abstract
Coal-seam gas (CSG), as an alternative energy, has the characteristics of resource scarcity and technological exploitation complexity. The generation of ideas is vital to develop more efficient exploitation technologies for CSG. Innovative ideas originate from the recombination of existing knowledge elements according to recombinative innovation. The previous literature has focused on exploring an abundance of combinations, which leads to blindness towards idea generation. For this reason, it is critical to search for more valuable matching patterns among the redundant combinations of elements. In line with this concept, this paper proposes a method that consists of three phases: the collection of knowledge elements, the analysis of knowledge element depth and diversity, and the analysis of knowledge element relationships. In this process, we take the patent document as the carrier of knowledge recombination and identify the optimization method in the reorganization process by means of latent Dirichlet allocation (LDA) and association rules. This method is expected to assist in sparking better ideas for CSG exploitation technologies.