Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/eswc2015/paper/demo/44> ?p ?o. }
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- 44 creator andrea-maurino.
- 44 creator anisa-rula.
- 44 creator blerina-spahiu.
- 44 creator matteo-palmonari.
- 44 creator riccardo-porrini.
- 44 creator vincenzo-ferme.
- 44 type InProceedings.
- 44 label "44".
- 44 sameAs 44.
- 44 abstract "While much work has focused on continuously publishing Linked Open Data, little work considers how to help consumers to better understand existing datasets. ABSTAT framework aims at providing a better understanding of big and complex datasets by extracting summaries of linked data sets based on an ontology-driven data abstraction model. Our ABSTAT framework takes as input a data set and an ontology and returns an ontology-driven data summary as output. The summary is exported into RDF and then made accessible through a SPARQL endpoint and a web interface to support the navigation.".
- 44 hasAuthorList authorList.
- 44 title "ASBTAT: Linked Data Summaries with ABstraction and STATistics".