## 1 Introduction  
In today's rapidly changing market landscape, regardless of any product industry, technological innovation has been regarded as an important factor for manufacturing enterprises to ensure future competitive advantage. As a basic form of technological innovation, manufacturing process innovation is the key guarantee for the R & D final realization of new products [1; 2; 3], especially in the field of complex equipment, such as aircraft, aerospace, automobile, construction machinery, and so on [4; 5; 6; 7]. Because the structure of the world economy has undergone significant changes, with demand for energy saving and environmental protection becoming increasingly urgent [8; 9; 10], developing countries need to transform and upgrade their manufacturing industries with process innovation to reduce energy consumption and achieve sustainable development; developed countries, accordingly, are trying to guide and accelerate the global return of manufacturing industries by means of process innovation [11; 12]. However, manufacturing enterprises have long encountered a variety of problems in the implementation of process innovation. These problems are mainly manifested in the difficulty of innovation, the poor effect, and the low success rate [13; 14]. Generally speaking, the new manufacturing process technologies--especially sustainable process technologies--often entail long-term, complex, experimental, and higher-risk development efforts [15; 16; 17]. Industrial innovation survey data shows that the lack of technical staff and relevant innovation knowledge is one of the prime reasons for the termination or failure of innovation activities [3; 13; 18]. In fact, manufacturing process innovation is a cross-industry and interdisciplinary type of complex system engineering, which requires not only domain experts with multidisciplinary knowledge, but also technical or management personnel of manufacturing sites with process know-how [14; 19]. Nevertheless, the empirical knowledge existing in these scattered owners has not yet been effectively organized according to innovation design procedure and cannot currently be applied to Computer-Aided Process Innovation (CAPI) [3; 20]. It is recognized that reasonable and efficient innovation knowledge capture is the foundation for the effective innovation knowledge application, and it is regarded as one of the core requirements for smart innovation engineering of the Future Industry 4.0 [21; 22; 23; 24]. Although several pre-research works exist in process innovation knowledge management and CAPI framework [2; 3; 25], there is still a lack of an integrated approach to effectively capturing systematic process innovation knowledge under the open innovation paradigm. The open process innovation knowledge capture is, essentially, a process of effective combination of knowledge owners' collective intelligence [20; 26]. It will be able to match the characteristics of process innovation knowledge and make full use of the wisdom of multidisciplinary and multi-sectoral personnel, so as to meet the needs of CAPI-oriented knowledge organization. Consequently, our goal in this research work is to construct an open knowledge capture approach, which can obtain structured, formalized, and systematic innovation knowledge from open environments and thus support manufacturing process problem-solving. By building an open knowledge-social community and considering multi-type knowledge organization and evolution in the process of knowledge-inspired innovation design, a novel holistic paradigm of process innovation knowledge capture based on collective intelligence (PIKC-CI) and the corresponding knowledge processing approach are explored. Accordingly, an open knowledge capture system for manufacturing process innovation (_MPI-OKCS_) is constructed in this paper, in order to implement the proposed method for practical application. The remainder of this paper is organized as follows. In Section 2, some related works about innovation-oriented knowledge capture and CAPI are reviewed.