Information for "Discovering and Maintaining Links on the Web of Data"

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Display titleDiscovering and Maintaining Links on the Web of Data
Default sort keyDiscovering and Maintaining Links on the Web of Data
Page length (in bytes)3,770
Page ID36168
Page content languageen - English
Page content modelwikitext
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Page creatorSaid (talk | contribs)
Date of page creation14:19, 27 June 2018
Latest editorSaid (talk | contribs)
Date of latest edit13:45, 12 July 2018
Total number of edits12
Total number of distinct authors1
Recent number of edits (within past 90 days)0
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Access APINo data available now. +
Event in seriesISWC +
Has BenchmarkNo data available now. +
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Has DataCatalouge{{{Catalogue}}} +
Has DescriptionNo data available now. +
Has Dimensions{{{Dimensions}}} +
Has DocumentationURLhttp://www4.wiwiss.fu-berlin.de/bizer/silk/. +
Has Downloadpagehttp://No data available now. +
Has EvaluationNo data available now. +
Has EvaluationMethodNo data available now. +
Has ExperimentSetupNo data available now. +
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Has InfoRepresentationNo data available now. +
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Has SubproblemNo data available now. +
Has VersionNo data available now. +
Has abstractT +
Has approachNo data available now. +
Has authorsJulius Volz +, Christian Bizer +, Martin Gaedke + and Georgi Kobilarov +
Has conclusionWe presented the Silk framework, a flexibl
We presented the Silk framework, a flexible tool for discovering links between entities within different web data sources. The Silk-LSL link specification language was introduced and its applicability was demonstrated within a life science use case. We then proposed the WOD-LMP protocol for synchronizing and maintaining links between continuously changing Linked Data sources.
continuously changing Linked Data sources. +
Has future workFuture work on Silk will focus on the foll
Future work on Silk will focus on the following areas: We will implement further similarity metrics to support a broader range of linking use cases. To assist users in writing Silk-LSL specifications, machine learning techniques could be employed to adjust weightings or optimize the structure of the matching specification. Finally, we will evaluate the suitability of Silk for detecting duplicate entities within local datasets instead of using it to discover links between disparate RDF data sources. The value of the Web of Data rises and falls with the amount and the quality of links between data sources. We hope that Silk and other similar tools will help to strengthen the linkage between data sources and therefore contribute to the overall utility of the network.
ute to the overall utility of the network. +
Has keywordsLinked data, web of data, link discovery, link maintenance, record linkage, duplicate detection +
Has motivationNo data available now. +
Has platformNo data available now. +
Has problemNo data available now. +
Has relatedProblemNo data available now. +
Has subjectLink Discovery +
Has vendorNo data available now. +
Has year2009 +
ImplementedIn ProgLangNo data available now. +
Proposes AlgorithmNo data available now. +
RunsOn OSNo data available now. +
TitleDiscovering and Maintaining Links on the Web of Data +
Uses FrameworkNo data available now. +
Uses MethodologyNo data available now. +
Uses ToolboxNo data available now. +