Semantics-based social media for collaborative open innovation

This paper describes the work performed in the framework of the BIVEE project aimed to provide a semantic support to a more effective management of Social Media Contents in innovation-related activities in an enterprise context. Social interactions are more and more established through electronic media, due to the advent of new technologies, Internet penetration, and diffusion of social networks. All these means are technological enablers of open approaches (e.g., Open Innovation and Crowd-sourcing) for creating knowledge and exploiting the so-called wisdom of the crowds. They can convey a significant amount of potentially relevant knowledge, but, very often, strongly unstructured, fragmented, and without an explicit semantic correlation. Based on these motivations, a set of methodological solutions, for a smarter acquisition, organization, retrieval, and correlation of Social Media Contents, and their implementation as services, is proposed in this paper. © 2014 IEEE.