Ruben Verborgh’s data

Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/denies_lile_2015/#publication> ?p ?o }

• publication author tom_de_nies.
• publication author rik_van_de_walle.
• publication author frank_salliau.
• publication author erik_mannens.
• publication author me.
• publication creator tom_de_nies.
• publication creator rik_van_de_walle.
• publication creator frank_salliau.
• publication creator erik_mannens.
• publication creator me.
• publication about interoperability.
• publication about Provenance.
• publication about JSON.
• publication author tom_de_nies.
• publication author rik_van_de_walle.
• publication author frank_salliau.
• publication author erik_mannens.
• publication author me.
• publication coparticipatesWith tom_de_nies.
• publication coparticipatesWith rik_van_de_walle.
• publication coparticipatesWith frank_salliau.
• publication coparticipatesWith erik_mannens.
• publication coparticipatesWith me.
• publication type ScholarlyArticle.
• publication type Article.
• publication type Document.
• publication type Document.
• publication type Document.
• publication type Q386724.
• publication type CreativeWork.
• publication type Work.
• publication P50 tom_de_nies.
• publication P50 rik_van_de_walle.
• publication P50 frank_salliau.
• publication P50 erik_mannens.
• publication P50 me.
• publication maker tom_de_nies.
• publication maker rik_van_de_walle.
• publication maker frank_salliau.
• publication maker erik_mannens.
• publication maker me.
• publication title "TinCan2PROV: Exposing Interoperable Provenance of Learning Processes through Experience API Logs".
• publication isPartOf proceedings_of_the_linked_learning_workshop.
• publication name "TinCan2PROV: Exposing Interoperable Provenance of Learning Processes through Experience API Logs".
• publication label "TinCan2PROV: Exposing Interoperable Provenance of Learning Processes through Experience API Logs".
• publication name "TinCan2PROV: Exposing Interoperable Provenance of Learning Processes through Experience API Logs".
• publication topic interoperability.
• publication topic Provenance.
• publication topic JSON.
• publication subject interoperability.
• publication subject Provenance.
• publication subject JSON.
• publication authorList b0_b2906.
• publication topic interoperability.
• publication topic Provenance.
• publication topic JSON.
• publication abstract "A popular way to log learning processes is by using the Experience API (abbreviated as xAPI), also referred to as Tin Can. While Tin Can is great for developers who need to log learning experiences in their applications, it is more challenging for data processors to interconnect and analyze the resulting data. An interoperable data model is missing to raise Tin Can to its full potential. We argue that in essence, these learning process logs are provenance. Therefore, the W3C PROV model can provide the much-needed interoperability. In this paper, we introduce a method to expose PROV using Tin Can statements. To achieve this, we made the following contributions: (1) a formal ontology of the xAPI vocabulary, (2) a context document to interpret xAPI statements as JSON-LD, (3) a mapping to convert xAPI JSON-LD statements into PROV, and (4) a tool implementing this mapping. We preliminarily evaluate the approach by converting 10 xAPI statements taken from the public Tin Can Learning Record Store to valid PROV without loss of information, therefore ensuring that the conversion process is reversible.".
• publication datePublished "2015".
• publication mainEntityOfPage denies_lile_2015.
• publication sameAs publication.
• publication isPrimaryTopicOf denies_lile_2015.
• publication page denies_lile_2015.
• publication number "689".
• publication number "694".
• publication locator "689".
• publication locator "694".
• publication endingPage "694".
• publication startingPage "689".
• publication pageEnd "694".
• publication pageStart "689".
• publication pageEnd "694".
• publication pageStart "689".