ABSTAT: Linked data summaries with ABstraction and STAtistics

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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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APA

Palmonari, M., Rula, A., Porrini, R., Maurino, A., Spahiu, B., & Ferme, V. (2015). ABSTAT: Linked data summaries with ABstraction and STAtistics. In Lecture Notes in Computer Science (Vol. 9341, pp. 128–132). Springer Verlag. https://doi.org/10.1007/978-3-319-25639-9_25

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