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With the continuous advancement of software-defined networking (SDN) technology, the arrival of the Internet of Things (IoT) media era has brought unprecedented opportunities and challenges to the field of digital publishing and communication. This paper focuses on exploring how to optimize the digital publishing and dissemination strategy of IoT media using SDN control and management technology to adapt to this emerging information dissemination ecosystem. Firstly, we conducted an in-depth analysis of the application of SDN technology in IoT media digital publishing, covering multiple aspects from intelligent management of content creation and distribution, precise implementation of personalized content recommendations, to deep mining and real-time analysis of user behavior data. These applications not only improve the efficiency and quality of content production, but also significantly enhance the personalization and accuracy of information dissemination. Subsequently, we adopted a case study method to deeply analyze the innovative communication strategies implemented by media organizations using SDN control and management technology in the context of IoT media. These strategies include but are not limited to: utilizing SDN technology to achieve dynamic optimization and intelligent distribution of content to attract a wider audience, strengthening interaction and collaboration between IoT devices through SDN, promoting user participation through social media, online communities, and other platforms, and building an active community ecosystem and implementing cross-platform integration strategies, leveraging the flexibility and scalability of SDN, to build a complete media matrix and achieve multi-channel and all-round information dissemination. The research results indicate that the deep integration of SDN technology significantly enhances the personalization and interactivity of IoT media digital publishing and dissemination, bringing users a richer and more immersive reading experience. This not only improves communication efficiency, but also deepens the connection between media and audiences, injecting new vitality into the development of IoT media digital publishing.

The digital processing of content resources has subverted the traditional paper content processing model and has also spread widely. The digital resources processed by text structure need to be structured and processed by professional knowledge, which can be saved as a professional digital content resource of knowledge base and provide basic metadata for intelligent knowledge service platform. The professional domain-based knowledge system construction system platform explored in this study is designed based on natural language processing. Natural language processing is an important branch of artificial intelligence, which is the application of artificial intelligence technology in linguistics. The system first extracts the professional thesaurus and domain ontology in the digital resources and then uses the new word discovery algorithm based on the label weight designed by artificial intelligence technology to intelligently extract and clean the new words of the basic thesaurus. At the same time, the relationship system between knowledge points and elements is established to realize the association extraction of targeted knowledge points, and finally the output content is enriched from knowledge points into related knowledge systems. In order to improve the scalability and universality of the system, the extended architecture of the thesaurus, algorithms, computational capabilities, tags, and exception thesaurus was taken into account when designing. At the same time, the implementation of “artificial intelligence $+$ manual assistance” was adopted. On the basis of improving the system availability, the experimental basis of the optimization algorithm is provided. The results of this research will bring an artificial intelligence innovation after the digitization to the publishing industry and will transform the content service into an intelligent service based on the knowledge system.

Rimage was an on-demand digital publishing company based in Minnesota, USA. Since 1992, Rimage had been internationalizing its business in Europe, Scandinavia, Africa, Middle East, and Russia. By 2004, its products had penetrated Japanese market. Encouraged by its success in Japan, Rimage considered entry into China. The initial market assessment identified opportunities in China, but also risk. As a technology driven company, Rimage's main management dilemma was how to set up operations in China while keeping its intellectual property secure. Manny Almeida, Rimage's Chief Operating Officer, carefully pondered the company's entry into China. Did the opportunities outweigh the risks? This decisional case is based on field research. There is an epilogue detailing the steps Rimage took to protect its intellectual property in China. The case aims to provide insight for international business in safeguarding intellectual property rights.