Matches in Ruben’s data for { ?s ?p ?o }
- publication maker dieter_de_witte.
- publication maker me.
- publication title "Scaling out federated queries for life science data in production".
- publication isPartOf proceedings_of_the_9th_international_conference_on_semantic_web_applications_and_tools_for_life_sciences.
- publication name "Scaling out federated queries for life science data in production".
- publication label "Scaling out federated queries for life science data in production".
- publication name "Scaling out federated queries for life science data in production".
- publication topic SPARQL.
- publication topic Linked_Data.
- publication subject SPARQL.
- publication subject Linked_Data.
- publication authorList b0_b2550.
- publication topic SPARQL.
- publication topic Linked_Data.
- publication abstract "There exists an abundance of Linked Data storage solutions, but only few meet the requirements of a production environment with interlinked life sciences data. In such environments, a triple store has to support complex SPARQL queries and handle large datasets with hundreds of millions of triples. The Ontoforce platform DisQover offers federated search for life sciences, relying on complex federated queries over open life science data, run in an ETL-pipeline to anticipate user actions in its exploratory search interface. Different state-of-the-art approaches for scaling out are compared, both in terms of their ability to execute the queries as in terms of ETL pipeline performance. This paper analyzes and discusses the features of the datasets and query mixes. An in-depth analysis is provided on an individual query basis revealing the strengths and weaknesses with respect to certain query types.".
- publication datePublished "2016".
- publication mainEntityOfPage dewitte_swat4ls_2016.
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- publication author me.
- publication author tom_de_nies.
- publication author rik_van_de_walle.
- publication author erik_mannens.
- publication author me.
- publication creator me.
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- publication creator rik_van_de_walle.
- publication creator erik_mannens.
- publication creator me.
- publication about Big_Data.
- publication about Semantic_Web.
- publication about RDF.
- publication about World_Wide_Web.
- publication author me.
- publication author tom_de_nies.
- publication author rik_van_de_walle.
- publication author erik_mannens.
- publication author me.
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- publication coparticipatesWith rik_van_de_walle.
- publication coparticipatesWith erik_mannens.
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- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Q386724.
- publication type CreativeWork.
- publication type Document.
- publication type Work.
- publication type Document.
- publication P50 me.
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- publication P50 rik_van_de_walle.
- publication P50 erik_mannens.
- publication P50 me.
- publication maker me.
- publication maker tom_de_nies.
- publication maker rik_van_de_walle.
- publication maker erik_mannens.
- publication maker me.
- publication title "Data Integration based on Uniform Mapping Definitions to RDF".
- publication isPartOf proceedings_of_the_european_data_forum.
- publication name "Data Integration based on Uniform Mapping Definitions to RDF".
- publication label "Data Integration based on Uniform Mapping Definitions to RDF".
- publication name "Data Integration based on Uniform Mapping Definitions to RDF".
- publication topic Big_Data.
- publication topic Semantic_Web.
- publication topic RDF.
- publication topic World_Wide_Web.
- publication subject Big_Data.
- publication subject Semantic_Web.
- publication subject RDF.
- publication subject World_Wide_Web.
- publication authorList b0_b2832.
- publication topic Big_Data.
- publication topic Semantic_Web.
- publication topic RDF.
- publication topic World_Wide_Web.
- publication abstract "Handling Big Data is often hampered by integration challenges, especially when speed, efficiency and accuracy are critical. In Semantic Web, integration is achieved by aligning multiple representations of the same entities, appearing within distributed heterogeneous sources and by annotating data using same vocabularies. However, mapping different sources to RDF separately, generating multiple URIs for distinct instances of same entities, hampers advanced and automated data fusion and prevents benefiting from data semantic representation. We introduce a unified knowledge framework, created already at mapping level, to enable a successful business ecosystem built on top of enriched and combined datasets, proving that the integration of data from multiple heterogeneous sources, produces added value.".
- publication datePublished "2015".
- publication mainEntityOfPage dimou_edf_2015.
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- publication author me.
- publication author me.
- publication author rik_van_de_walle.
- publication author laurens_de_vocht.
- publication author erik_mannens.
- publication author miel_vander_sande.
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- publication creator rik_van_de_walle.
- publication creator laurens_de_vocht.
- publication creator erik_mannens.
- publication creator miel_vander_sande.
- publication creator me.