Ruben Verborgh’s data

Matches in Ruben’s data for { <https://dx.doi.org/10.1109/MC.2014.296> ?p ?o }

• MC.2014.296 author me.
• MC.2014.296 author me.
• MC.2014.296 author peter_mechant.
• MC.2014.296 author mathias_van_compernolle.
• MC.2014.296 author laurens_de_vocht.
• MC.2014.296 author erik_mannens.
• MC.2014.296 author miel_vander_sande.
• MC.2014.296 author me.
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• MC.2014.296 creator mathias_van_compernolle.
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• MC.2014.296 creator erik_mannens.
• MC.2014.296 creator miel_vander_sande.
• MC.2014.296 creator me.
• MC.2014.296 about interoperability.
• MC.2014.296 about World_Wide_Web.
• MC.2014.296 author me.
• MC.2014.296 author me.
• MC.2014.296 author peter_mechant.
• MC.2014.296 author mathias_van_compernolle.
• MC.2014.296 author laurens_de_vocht.
• MC.2014.296 author erik_mannens.
• MC.2014.296 author miel_vander_sande.
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• MC.2014.296 type ScholarlyArticle.
• MC.2014.296 type Article.
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• MC.2014.296 maker peter_mechant.
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• MC.2014.296 maker laurens_de_vocht.
• MC.2014.296 maker erik_mannens.
• MC.2014.296 maker miel_vander_sande.
• MC.2014.296 maker me.
• MC.2014.296 title "Quantifying the Interoperability of Open Government Datasets".
• MC.2014.296 isPartOf computer.
• MC.2014.296 name "Quantifying the Interoperability of Open Government Datasets".
• MC.2014.296 label "Quantifying the Interoperability of Open Government Datasets".
• MC.2014.296 name "Quantifying the Interoperability of Open Government Datasets".
• MC.2014.296 topic interoperability.
• MC.2014.296 topic World_Wide_Web.
• MC.2014.296 subject interoperability.
• MC.2014.296 subject World_Wide_Web.
• MC.2014.296 authorList b0_b3020.
• MC.2014.296 topic interoperability.
• MC.2014.296 topic World_Wide_Web.
• MC.2014.296 abstract "Open Governments use the Web as a global dataspace for datasets. It is in the interest of these governments to be interoperable with other governments worldwide, yet there is currently no way to identify relevant datasets to be interoperable with and there is no way to measure the interoperability itself. In this article we discuss the possibility of comparing identifiers used within various datasets as a way to measure semantic interoperability. We introduce three metrics to express the interoperability between two datasets: the identifier interoperability, the relevance and the number of conflicts. The metrics are calculated from a list of statements which indicate for each pair of identifiers in the system whether they identify the same concept or not. While a lot of effort is needed to collect these statements, the return is high: not only relevant datasets are identified, also machine-readable feedback is provided to the data maintainer.".
• MC.2014.296 datePublished "2014".
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