Ruben’s data

Matches in Ruben’s data for { <https://dx.doi.org/10.4018/IJSWIS.2017100108> ?p ?o }

Showing triples 1 to 100 of ±102 with 100 triples per page.

IJSWIS.2017100108 author selver_softic.
IJSWIS.2017100108 author rik_van_de_walle.
IJSWIS.2017100108 author martin_ebner.
IJSWIS.2017100108 author laurens_de_vocht.
IJSWIS.2017100108 author erik_mannens.
IJSWIS.2017100108 author me.
IJSWIS.2017100108 creator selver_softic.
IJSWIS.2017100108 creator rik_van_de_walle.
IJSWIS.2017100108 creator martin_ebner.
IJSWIS.2017100108 creator laurens_de_vocht.
IJSWIS.2017100108 creator erik_mannens.
IJSWIS.2017100108 creator me.
IJSWIS.2017100108 about Social_media.
IJSWIS.2017100108 about Research.
IJSWIS.2017100108 about Metadata.
IJSWIS.2017100108 about Linked_Data.
IJSWIS.2017100108 about World_Wide_Web.
IJSWIS.2017100108 author selver_softic.
IJSWIS.2017100108 author rik_van_de_walle.
IJSWIS.2017100108 author martin_ebner.
IJSWIS.2017100108 author laurens_de_vocht.
IJSWIS.2017100108 author erik_mannens.
IJSWIS.2017100108 author me.
IJSWIS.2017100108 coparticipatesWith selver_softic.
IJSWIS.2017100108 coparticipatesWith rik_van_de_walle.
IJSWIS.2017100108 coparticipatesWith martin_ebner.
IJSWIS.2017100108 coparticipatesWith laurens_de_vocht.
IJSWIS.2017100108 coparticipatesWith erik_mannens.
IJSWIS.2017100108 coparticipatesWith me.
IJSWIS.2017100108 type PublicationIssue.
IJSWIS.2017100108 type Issue.
IJSWIS.2017100108 type CollectedDocument.
IJSWIS.2017100108 type PublicationVolume.
IJSWIS.2017100108 type ScholarlyArticle.
IJSWIS.2017100108 type Article.
IJSWIS.2017100108 type Document.
IJSWIS.2017100108 type Document.
IJSWIS.2017100108 type Document.
IJSWIS.2017100108 type Q386724.
IJSWIS.2017100108 type CreativeWork.
IJSWIS.2017100108 type Work.
IJSWIS.2017100108 P50 selver_softic.
IJSWIS.2017100108 P50 rik_van_de_walle.
IJSWIS.2017100108 P50 martin_ebner.
IJSWIS.2017100108 P50 laurens_de_vocht.
IJSWIS.2017100108 P50 erik_mannens.
IJSWIS.2017100108 P50 me.
IJSWIS.2017100108 maker selver_softic.
IJSWIS.2017100108 maker rik_van_de_walle.
IJSWIS.2017100108 maker martin_ebner.
IJSWIS.2017100108 maker laurens_de_vocht.
IJSWIS.2017100108 maker erik_mannens.
IJSWIS.2017100108 maker me.
IJSWIS.2017100108 title "Social Semantic Search: A Case Study on Web 2.0 for Science".
IJSWIS.2017100108 isPartOf international_journal_on_semantic_web_and_information_systems.
IJSWIS.2017100108 name "Social Semantic Search: A Case Study on Web 2.0 for Science".
IJSWIS.2017100108 label "Social Semantic Search: A Case Study on Web 2.0 for Science".
IJSWIS.2017100108 name "Social Semantic Search: A Case Study on Web 2.0 for Science".
IJSWIS.2017100108 topic Social_media.
IJSWIS.2017100108 topic Research.
IJSWIS.2017100108 topic Metadata.
IJSWIS.2017100108 topic Linked_Data.
IJSWIS.2017100108 topic World_Wide_Web.
IJSWIS.2017100108 subject Social_media.
IJSWIS.2017100108 subject Research.
IJSWIS.2017100108 subject Metadata.
IJSWIS.2017100108 subject Linked_Data.
IJSWIS.2017100108 subject World_Wide_Web.
IJSWIS.2017100108 authorList b0_b2201.
IJSWIS.2017100108 topic Social_media.
IJSWIS.2017100108 topic Research.
IJSWIS.2017100108 topic Metadata.
IJSWIS.2017100108 topic Linked_Data.
IJSWIS.2017100108 topic World_Wide_Web.
IJSWIS.2017100108 abstract "When researchers formulate search queries to find relevant content on the Web, those queries typically consist of keywords that can only be matched in the content or its metadata. The Web of Data extends this functionality by bringing structure and giving well-defined meaning to the content and it enables humans and machines to work together using controlled vocabularies. Due the high degree of mismatches between the structure of the content and the vocabularies in different sources, searching over multiple heterogeneous repositories of structured data is considered challenging. Therefore, we present a semantic search engine for researchers facilitating search in research related Linked Data. To facilitate high-precision interactive search, we configured the engine to annotate and interlink structured research data with ontologies from various repositories in an effective semantic model. Furthermore, our system is adaptive as researchers can choose to add their social media accounts for synchronization and efficiently explore new datasets.".
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