Retrieving and ranking scientific publications from linked open data repositories

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