Open Innovation and Semantic Web: Problem Solver Search on Linked Data
The novel practice of Open Innovation on the Web has imposed new challenges to known expert search approaches. At the same time, many potential sources of evidence about users' interest and expertise (e.g., research papers, blogs, activities) are becoming ubiquitously present as Linked Data. In this paper we present a research effort for suggesting the right way to search for potential Open Innovation problem solvers in Linked Data sources, by looking at the structure of available data sources. In addition, we seek to develop ways of suggesting domains of expertise that are in some way relevant to the domain of the Open Innovation problem, in order to enable a cross-domain solution transfer.