Matches in Ruben’s data for { <https://dx.doi.org/10.4018/IJSWIS.2016070103> ?p ?o }
Showing triples 1 to 96 of
96
with 100 triples per page.
- IJSWIS.2016070103 author me.
- IJSWIS.2016070103 author me.
- IJSWIS.2016070103 author erik_mannens.
- IJSWIS.2016070103 author miel_vander_sande.
- IJSWIS.2016070103 author me.
- IJSWIS.2016070103 creator me.
- IJSWIS.2016070103 creator me.
- IJSWIS.2016070103 creator erik_mannens.
- IJSWIS.2016070103 creator miel_vander_sande.
- IJSWIS.2016070103 creator me.
- IJSWIS.2016070103 about Hypermedia.
- IJSWIS.2016070103 about Triple_Pattern_Fragments.
- IJSWIS.2016070103 about Research.
- IJSWIS.2016070103 about Linked_Data.
- IJSWIS.2016070103 about World_Wide_Web.
- IJSWIS.2016070103 author me.
- IJSWIS.2016070103 author me.
- IJSWIS.2016070103 author erik_mannens.
- IJSWIS.2016070103 author miel_vander_sande.
- IJSWIS.2016070103 author me.
- IJSWIS.2016070103 coparticipatesWith me.
- IJSWIS.2016070103 coparticipatesWith me.
- IJSWIS.2016070103 coparticipatesWith erik_mannens.
- IJSWIS.2016070103 coparticipatesWith miel_vander_sande.
- IJSWIS.2016070103 coparticipatesWith me.
- IJSWIS.2016070103 type PublicationIssue.
- IJSWIS.2016070103 type Issue.
- IJSWIS.2016070103 type CollectedDocument.
- IJSWIS.2016070103 type PublicationVolume.
- IJSWIS.2016070103 type ScholarlyArticle.
- IJSWIS.2016070103 type Article.
- IJSWIS.2016070103 type Document.
- IJSWIS.2016070103 type Document.
- IJSWIS.2016070103 type Document.
- IJSWIS.2016070103 type Q386724.
- IJSWIS.2016070103 type CreativeWork.
- IJSWIS.2016070103 type Work.
- IJSWIS.2016070103 P50 me.
- IJSWIS.2016070103 P50 me.
- IJSWIS.2016070103 P50 erik_mannens.
- IJSWIS.2016070103 P50 miel_vander_sande.
- IJSWIS.2016070103 P50 me.
- IJSWIS.2016070103 maker me.
- IJSWIS.2016070103 maker me.
- IJSWIS.2016070103 maker erik_mannens.
- IJSWIS.2016070103 maker miel_vander_sande.
- IJSWIS.2016070103 maker me.
- IJSWIS.2016070103 title "Hypermedia-based Discovery for Source Selection using Low-Cost Linked Data Interfaces".
- IJSWIS.2016070103 isPartOf international_journal_on_semantic_web_and_information_systems.
- IJSWIS.2016070103 name "Hypermedia-based Discovery for Source Selection using Low-Cost Linked Data Interfaces".
- IJSWIS.2016070103 label "Hypermedia-based Discovery for Source Selection using Low-Cost Linked Data Interfaces".
- IJSWIS.2016070103 name "Hypermedia-based Discovery for Source Selection using Low-Cost Linked Data Interfaces".
- IJSWIS.2016070103 topic Hypermedia.
- IJSWIS.2016070103 topic Triple_Pattern_Fragments.
- IJSWIS.2016070103 topic Research.
- IJSWIS.2016070103 topic Linked_Data.
- IJSWIS.2016070103 topic World_Wide_Web.
- IJSWIS.2016070103 subject Hypermedia.
- IJSWIS.2016070103 subject Triple_Pattern_Fragments.
- IJSWIS.2016070103 subject Research.
- IJSWIS.2016070103 subject Linked_Data.
- IJSWIS.2016070103 subject World_Wide_Web.
- IJSWIS.2016070103 authorList b0_b2487.
- IJSWIS.2016070103 topic Hypermedia.
- IJSWIS.2016070103 topic Triple_Pattern_Fragments.
- IJSWIS.2016070103 topic Research.
- IJSWIS.2016070103 topic Linked_Data.
- IJSWIS.2016070103 topic World_Wide_Web.
- IJSWIS.2016070103 abstract "Evaluating federated Linked Data queries requires consulting multiple sources on the Web. Before a client can execute queries, it must discover data sources, and determine which ones are relevant. Federated query execution research focuses on the actual execution, while data source discovery is often marginally discussed—even though it has a strong impact on selecting sources that contribute to the query results. Therefore, we introduce a discovery approach for Linked Data interfaces based on hypermedia links and controls, and apply it to federated query execution with Triple Pattern Fragments. In addition, we identify quantitative metrics to evaluate this discovery approach. This article describes generic evaluation measures and results for our concrete approach. With low-cost data summaries as seed, interfaces to eight large real-world datasets can discover each other within 7 minutes. Hypermedia-based client-side querying shows a promising gain of up to 50% in execution time, but demands algorithms that visit a higher number of interfaces to improve result completeness. With these findings, we conclude that using hypermedia for interface discovery brings us closer to a queryable global dataspace. However, clients require more intelligent methods to effectively consume such space.".
- IJSWIS.2016070103 datePublished "2016".
- IJSWIS.2016070103 mainEntityOfPage vandersande_ijswis_2016.
- IJSWIS.2016070103 sameAs IJSWIS.2016070103.
- IJSWIS.2016070103 isPrimaryTopicOf vandersande_ijswis_2016.
- IJSWIS.2016070103 page vandersande_ijswis_2016.
- IJSWIS.2016070103 number "12".
- IJSWIS.2016070103 number "110".
- IJSWIS.2016070103 number "79".
- IJSWIS.2016070103 number "3".
- IJSWIS.2016070103 volume "12".
- IJSWIS.2016070103 locator "12".
- IJSWIS.2016070103 locator "110".
- IJSWIS.2016070103 locator "79".
- IJSWIS.2016070103 locator "3".
- IJSWIS.2016070103 volume "12".
- IJSWIS.2016070103 position "12".
- IJSWIS.2016070103 position "3".
- IJSWIS.2016070103 volumeNumber "12".
- IJSWIS.2016070103 endingPage "110".
- IJSWIS.2016070103 issue "3".
- IJSWIS.2016070103 startingPage "79".
- IJSWIS.2016070103 issue "3".
- IJSWIS.2016070103 pageEnd "110".
- IJSWIS.2016070103 pageStart "79".
- IJSWIS.2016070103 issueNumber "3".
- IJSWIS.2016070103 pageEnd "110".
- IJSWIS.2016070103 pageStart "79".