The linked open data project provides a new publishing paradigm for creating machine readable and structured data on the Web. Currently, the significant presence of data sets describing scholarly publications in the linked data cloud underpins the importance of linked data for the scientific community and for the open access movement. However, these semantically rich datasets need to be exploited and linked with real time applications. In the paper the authors report on this. They have exploited numerous scholarly datasets and have created semantic links to papers in an online journal, particularly Journal of Universal Computer Science (JUCS).