5 Conclusion
In the era of big data, it becomes a hotspot of the academia and industry to achieve product/service innovation using users-generated content in the social media. Research on how to mine the UGC has been paid increasing attention. While less is still on the research on the way to realize the knowledge management system which embodies the dynamic extension of interactive innovation knowledge, which may make it difficult to support the mining and intelligent processing of innovative knowledge contained in a large number of UGCs for the enterprise. Current research emphasizes more on mining customers’ needs, while less on dynamic information exchange between users and enterprises in the process of interactive innovation. Also, the research on the specific method that dynamically integrates the customer knowledge and domain knowledge derived from the enterprise is rare. Accordingly in this paper, we proposed an integrated management framework for interactive innovation knowledge based on UGC, which should be able to provide the systematic approach for the enterprise to systematically process the UGC and transform it into innovative knowledge. And this is also an extension of Multi-S-BOX model proposed in literature [23–25], in big data context. Use the technology of text extraction, we discussed the novel approach using the open source linked data in identifying the product/service innovation knowledge, which contained in the hot issues customers concerned. This would be a specific approach in enhancing the efficiency and accuracy of marketing and customer knowledge management, as the usage of linked data in enterprises and complex tasks that proposed in literature [27, 28]. We also discussed an intelligent method of innovative knowledge expansion, which allows the dynamic updating of enterprise domain knowledge based on UGC and linked data, and turns the UGC into RDF triples as the instance and resource of innovation knowledge. The model and method we proposed in paper provides efficient and systematic approach for enterprises in knowledge discovery, extraction, transformation, and integration from massive structured and unstructured data of UGC, it also provides an effective solution for the enterprise to update the knowledge integration system in the dynamic environment.
