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.
Palmonari, M., Rula, A., Porrini, R., Maurino, A., Spahiu, B., Ferme, V. (2015). ABSTAT: Linked data summaries with ABstraction and STAtistics. In The Semantic Web: ESWC 2015 Satellite Events ESWC 2015 Satellite Events Portorož, Slovenia, May 31 – June 4, 2015, Revised Selected Papers (pp.128-132). Springer Verlag [10.1007/978-3-319-25639-9_25].
ABSTAT: Linked data summaries with ABstraction and STAtistics
Palmonari, M
;Rula, A
;Porrini, R
;Maurino, A
;Spahiu, B
;
2015
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.
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