Retrieving and ranking scientific publications from linked open data repositories
Arben Hajra, Atif Latif, Klaus Tochtermann · 2014
Content enrichment of publications stored in different cross domain Digital Libraries can facilitate the scholarly communication in big way. However, current DL still entails limitation of interoperability between cross domain repositories. This paper emphasizes on this limitation and proposes an innovative approach for finding and recommending scientific publications which are stored in disparate repositories. At first Linked Open Data is considered by exploring existing alignments between Econstor and other datasets within the current LOD cloud through the STW Thesaurus. Moreover, incorporation of other relevant metadata is proposed by implementing a data mining approach which improves the semantic relativeness of the publications from the recommended list.