Connecting Repositories in the Open Access Domain Using Text Mining and Semantic Data

Abstract

This paper presents CORE (COnnecting REpositories), a system that aims to facilitate the access and navigation across scientific papers stored in Open Access repositories. This is being achieved by harvesting metadata and full-text content from Open Access repositories, by applying text mining techniques to discover semanticly related articles and by representing and exposing these relations as Linked Data. The information about associations between articles expressed in an interoperable format will enable the emergence of a wide range of applications. The potential of CORE can be demonstrated on two use-cases: (1) Improving the the navigation capabilities of digital libraries by the means of a CORE pluging, (2) Providing access to digital content from smart phones and tablet devices by the means of the CORE Mobile application.