This research focuses on using natural language processing text mining approaches to make knowledge induction from the patent corpus within 6G satellite communication technologies. The domain ontology, that describes the transdisciplinary features of the knowledge taxonomy, is derived and organized in a hierarchical schema. The trends of innovation distributions within the ontology are further analyzed to discover the transdisciplinary R&D requirements. The technology mining process discovers that the advanced satellite infrastructure and its hardware/software integration are the enabler for seamless and high-speed communication network connectivity on land, sea, and sky. Seven main parts of “6G satellite communication” ontology schema and the taxonomy are text-mined from relevant patents and literature. 2357 domain patents (all with highly transdisciplinary nature) are collected and analyzed. During macro-analyses, trend of inventions, the leading assignees, and the distribution of technology categories are depicted. The micro-analyses discover the innovations of technological themes, technology function matrix showing R&D hot-spots and cold-spots, and the most critical sub-technologys’ lifecycle maturities. The ultra-goal of this research is to discover the main trends and the potentials of satellite communication-related technologies through smart technology mining techniques, especially those requiring transdisciplinary R&D. Finally, the strategic research plan for technical-savvy countries (e.g., Taiwan focusing on semiconductor and IT design and manufacturing sectors) is presented, highlighting the necessary transdisciplinary R&D efforts for mobile telecommunication industry.

In the era of Industry 4.0 and digital transformation (DT), the way the manufacturing industry provides value has shifted from selling products to directly creating value for customers. The synergy between business and information technology is the most important criterium for DT. This study proposed an object-oriented ontology-based enterprise architecture (OOOEA) framework, based on the unified modeling language (UML), to connect and integrate all databases and modules of the enterprise’s existing information system (or ERP). The enterprise domain knowledge must be depicted to achieve business-IT alignment. This research starts from the physical and philosophical views of object-oriented ontology (OOO), pays attention to the essence of all things observed or understood in business operations, and constructs the core ideas of the OOOEA framework. The contribution comes from three aspects. One is to provide guidance for the first step of DT, the other is to propose a concise and applicable methodology as the basis for communication between employees at all levels, and the third is to verify the feasibility and effectiveness of the framework proposed in this research through a practical case study.

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