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Adoption of the Linked Data Best Practices in Different Topical Domains
Schmachtenberg, Max
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Bizer, Christian
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Paulheim, Heiko
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DOI:
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https://doi.org/10.1007/978-3-319-11964-9_16
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URL:
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http://www.planet-data.eu/sites/default/files/publ...
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Additional URL:
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http://de.slideshare.net/bizer/schmachtenberg-bize...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2014
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Book title:
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The Semantic Web – ISWC 2014 : 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I
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The title of a journal, publication series:
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Lecture Notes in Computer Science
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Volume:
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8796
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Page range:
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245-260
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Conference title:
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ISWC 2014
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Location of the conference venue:
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Riva del Garda, Italy
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Date of the conference:
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October 19-23, 2014
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Publisher:
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Mika, Peter
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Place of publication:
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Berlin [u.a.]
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Publishing house:
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Springer
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ISBN:
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978-3-319-11963-2 , 978-3-319-11964-9
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ISSN:
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0302-9743 , 1611-3349
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Related URLs:
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Wirtschaftsinformatik V (Bizer)
School of Business Informatics and Mathematics > Web Data Mining (Juniorprofessur) (Paulheim 2013-2017)
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Subject:
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004 Computer science, internet
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Keywords (English):
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Linked Open Data , Web of Linked Data , RDF
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Abstract:
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The central idea of Linked Data is that data publishers support applications in discovering and integrating data by complying to a set of best practices in the areas of linking, vocabulary usage, and metadata provision. In 2011, the State of the LOD Cloud report analyzed the adoption of these best practices by linked datasets within different topical domains. The report was based on information that was provided by the dataset publishers themselves via the \emph{datahub.io} Linked Data catalog. In this paper, we revisit and update the findings of the 2011 State of the LOD Cloud report based on a crawl of the Web of Linked Data conducted in April 2014. We analyze how the adoption of the different best practices has changed and present an overview of the linkage relationships between datasets in the form of an updated LOD cloud diagram, this time not based on information from dataset providers, but on data that can actually be retrieved by a Linked Data crawler. Among others, we find that the number of linked datasets has approximately doubled between 2011 and 2014, that there is increased agreement on common vocabularies for describing certain types of entities, and that provenance and license metadata is still rarely provided by the data sources.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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