Publication | Closed Access
Discovering domain-specific public SPARQL endpoints
14
Citations
8
References
2014
Year
Unknown Venue
EngineeringSemantic WebInformation RetrievalData ScienceData MiningClinical FactsGraph Query LanguageData IntegrationBiostatisticsPublic HealthLinked DataBiomedical Text MiningData ManagementBiomedical OntologyLocal DatasetHealth InformaticsKnowledge DiscoveryPrivate Information RetrievalComputer ScienceBiomedical Data IntegrationLod CloudClinical Database
A significant portion of the LOD cloud consists of Life Sciences data sets, which together contain billions of clinical facts that interlink to form a "Web of Clinical Data". However, tools for new publishers to find relevant datasets that could potentially be linked to are missing, particularly in specialist domain-specific settings. Based on a set of domain-specific keywords extracted from a local dataset, this paper proposes methods to automatically identify relevant public SPARQL endpoints from a list of candidates.
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