Enriching scientific publications with semantically related data

Linked Open Data (LOD) and semantic technologies present an enormous potential for a variety of applications. LOD cloud is changing shape in a permanent way with the continuous addition of new datasets. This raises new possibilities for usage and affects the creation of applications on top of these data for various purposes. The purpose of this paper is to describe the use of LOD and semantic technologies to allow content and search results enrichment for digital libraries, with an emphasis to EconBiz case study. The main challenge for achieving this, present the process of contextualization of scientific publications with semantically related data. More specifically we describe the process of creating a profile of publication from the content that is available in a semantic web representation. This would allow detection and alignment of similar publications from different areas, author details, co-authors relativeness, events, organizations, etc. This is claimed to affect significantly the perspective of what should be of digital libraries in the future.