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At the very beginning of compiling a bibliography, usually only basicinformation, such as title, authors and publication date of an item are known.In order to gather additional information about a specific item, one typicallyhas to search the library catalog or use a web search engine. This look-upprocedure implies a manual effort for every single item of a bibliography. Inthis technical report we present a proof of concept which utilizes Linked Datatechnology for the simple enrichment of sparse metadata sets. This is done bydiscovering owl:sameAs links be- tween an initial set of computer sciencepapers and resources from external data sources like DBLP, ACM and the SemanticWeb Conference Corpus. In this report, we demonstrate how the link discoverytool Silk is used to detect additional information and to enrich an initial setof records in the computer science domain. The pros and cons of silk as linkdiscovery tool are summarized in the end.

Discovering Links for Metadata Enrichment on Computer Science Papers