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Discovering Links for Metadata Enrichment on Computer Science Papers
[Arbeitspapier]
Körperschaftlicher Herausgeber
GESIS - Leibniz-Institut für Sozialwissenschaften
Abstract At the very beginning of compiling a bibliography, usually only basic information, such as title,
authors and publication date of an item are known. In order to gather additional information about a specific item, one typically has to search the library catalog or use a web search engine.
This loo... mehr
At the very beginning of compiling a bibliography, usually only basic information, such as title,
authors and publication date of an item are known. In order to gather additional information about a specific item, one typically has to search the library catalog or use a web search engine.
This look-up procedure implies a manual effort for every single item of a bibliography. In this
technical report we present a proof of concept which utilizes Linked Data technology for the
simple enrichment of sparse metadata sets. This is done by discovering owl:sameAs links between
an initial set of computer science papers and resources from external data sources like DBLP, ACM and the Semantic Web Conference Corpus. In this report, we demonstrate how the link discovery tool Silk is used to detect additional information and to enrich an initial set of records in the computer science domain. The pros and cons of silk as link discovery tool are summarized in the end.... weniger
Thesaurusschlagwörter
Automatisierung; neue Technologie; Bibliographie; Informationswissenschaft; Informatik; Software
Klassifikation
Information und Dokumentation, Bibliotheken, Archive
Naturwissenschaften, Technik(wissenschaften), angewandte Wissenschaften
Freie Schlagwörter
bibliographische Daten; Linked Data
Sprache Dokument
Englisch
Publikationsjahr
2012
Erscheinungsort
Mannheim
Seitenangabe
22 S.
Schriftenreihe
GESIS-Technical Reports, 2012/10
Status
Veröffentlichungsversion; begutachtet
Lizenz
Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung