Discovery and Construction of Authors' Profile from Linked Data (A case study for Open Digital Journal)

Abstract

The Open access digital journals, motivated from open access movement, now play a vital role in the dissemination of scientific literature and author’s information over the web. In digital journals’ environment, a well-linked collection of electronic resources is of great importance especially in creating opportunities for collaborations between organization, institutions, and persons. Finding information about authors (authors’ profiles) in a digital journal’s environment is crucial to increase the overall productivity and unprecedented success. Inspired from Linked Open Data (LOD) initiative, we have developed a tool which can establish links between authors of digital journals with relevant semantic resources available in LOD. The proposed system is able to disambiguate authors and can: 1) locate, 2) retrieve, and 3) structure the relevant semantic resources. Furthermore, the system constructs comprehensive aspect oriented authors’ profiles from heterogeneous datasets of LOD on the fly. This paper investigates the potentials of such an approach on a digital journal known as Journal of Universal Computer Science (J.UCS). It is our strong belief that this kind of applications can motivate researchers and developers to investigate different application areas where Linked Open Data can contribute, bring added value, and can take the idea of open access further.