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Extended Description of the Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling

  • Modeling and publishing Linked Open Data (LOD) involves the choice of which vocabulary to use. This choice is far from trivial and poses a challenge to a Linked Data engineer. It covers the search for appropriate vocabulary terms, making decisions regarding the number of vocabularies to consider in the design process, as well as the way of selecting and combining vocabularies. Until today, there is no study that investigates the different strategies of reusing vocabularies for LOD modeling and publishing. In this paper, we present the results of a survey with 79 participants that examines the most preferred vocabulary reuse strategies of LOD modeling. Participants of our survey are LOD publishers and practitioners. Their task was to assess different vocabulary reuse strategies and explain their ranking decision. We found significant differences between the modeling strategies that range from reusing popular vocabularies, minimizing the number of vocabularies, and staying within one domain vocabulary. A very interesting insight is that the popularity in the meaning of how frequent a vocabulary is used in a data source is more important than how often individual classes and properties arernused in the LOD cloud. Overall, the results of this survey help in understanding the strategies how data engineers reuse vocabularies, and theyrnmay also be used to develop future vocabulary engineering tools.

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Metadaten
Verfasserangaben:Johann Schaible, Thomas Gottron, Ansgar Scherp
URN:urn:nbn:de:kola-8205
Schriftenreihe (Bandnummer):Arbeitsberichte, FB Informatik (2014,1)
Dokumentart:Ausgabe (Heft) zu einer Zeitschrift
Sprache:Englisch
Datum der Fertigstellung:02.04.2014
Datum der Veröffentlichung:02.04.2014
Veröffentlichende Institution:Universität Koblenz-Landau, Campus Koblenz, Universitätsbibliothek
Datum der Freischaltung:02.04.2014
Freies Schlagwort / Tag:Linked Open Data; Vocabulary Reuse
Seitenzahl:25 Seiten
Institute:Fachbereich 4 / Fachbereich 4
Fachbereich 4 / Institute for Web Science and Technologies
DDC-Klassifikation:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Lizenz (Deutsch):License LogoEs gilt das deutsche Urheberrecht: § 53 UrhG