دانلود رایگان مقاله انگلیسی روش ائتلافی مدیریت دانش نوآورانه هوشمند مبتنی بر محتوای تولید شده توسط کاربر - اشپرینگر 2018

Abstract

The number of companies using social media to interact with users has been increasing. By analyzing the content generated by users online and mining the information contained therein, companies have applied them to product management and innovation, improving the competitiveness of enterprises. In the face of growing user-generated content, how to achieve effective information mining and transform into product knowledge has posed a challenge to the enterprise. In the background of smart phone products, this paper puts forward the integrated method and key technology of innovation knowledge management based on user-generated content, which should be able to provide a systematic solution for the interactive innovation knowledge management.

6 Conclusions

This paper explores the management integration model and method for interactive innovation knowledge, solving the problem of user knowledge mining and application in the social media environment. By abstracting the information in UGC, the knowledge of open source domain is adopted as a reference to identify the knowledge contained in it, and transformed into enterprise product knowledge ontology by semantic annotation (U-IMIIK), which provides a corresponding support for the dynamic process of knowledge transformation for the user-product-enterprise in the social media environment.

With the background of UGC theme mining and knowledge extraction of smart phone products, we have extracted the information about the relationship between the user’s focus and the parameters of the product, and cross-compared it with the open source domain knowledge, the existing product design and the BOM core elements. The OWL/RDF technology is applied to transform the result of the mining into product knowledge and further be integrated into the associated data. As a result, the knowledge mining result in UGC enriches the existing knowledge base of the enterprise and realizes the dynamic updating of enterprise knowledge management in the process of interactive innovation. In the mentioned process, there are two aspects needed for further discussion: (1) This article focuses on issues on UGC product knowledge mining and management. The data refer to the user behavior in the UGC was not discussed here, but this part of the content is closely related to the enterprise CRM management and may also affect the feedback of a niche market for product innovation in a given period of time in the future. (2) Each data source site and each user’s UGC are weighted by the same level in the paper, but in actual use, the credibility, attention, size of different sites vary, and there also exist a leading and following relations among the users, which will affect the subject -knowledge ranking, and further affect the enterprise product knowledge base updates.