As Linked Data available on the Web continue to grow, understanding their structure and content remains a challenging task making such the bottleneck for their reuse. ABSTAT is an online profiling tool which helps data consumers in better understanding the data by extracting ontology-driven patterns and statistics about the data. This demo paper presents the capabilities of the new added feature of ABSTAT.
Principe, R., Spahiu, B., Palmonari, M., Rula, A., De Paoli, F., Maurino, A. (2018). ABSTAT 1.0: Compute, manage and share semantic profiles of RDF knowledge graphs. In The Semantic Web: ESWC 2018 Satellite Events (pp.170-175). Springer Verlag [10.1007/978-3-319-98192-5_32].
ABSTAT 1.0: Compute, manage and share semantic profiles of RDF knowledge graphs
Spahiu, B
;Palmonari, M;Rula, A
;De Paoli, F;Maurino, A
2018
Abstract
As Linked Data available on the Web continue to grow, understanding their structure and content remains a challenging task making such the bottleneck for their reuse. ABSTAT is an online profiling tool which helps data consumers in better understanding the data by extracting ontology-driven patterns and statistics about the data. This demo paper presents the capabilities of the new added feature of ABSTAT.
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ABSTAT_1_0__Compute__Manage_and_Share_Semantic_Profiles_of_RDF_Knowledge_Graphs (7).pdf
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Principe2018_Chapter_ABSTAT10ComputeManageAndShareS.pdf
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