Paper Info
Title
ABSTAT: Linked Data Summaries with ABstraction and STATistics.
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.
Year
DOI
Venue
2015
10.1007/978-3-319-25639-9_25
ESWC (Satellite Events)
Field
DocType
Volume
Data mining,Ontology,Abstraction,Information retrieval,Computer science,Linked data,SPARQL,User interface,RDF
Conference
9341
ISSN
Citations 
PageRank 
0302-9743
12
0.94
References 
Authors
5
6
Name
Order
Citations
PageRank
Matteo Palmonari145044.73
Anisa Rula221415.67
Riccardo Porrini3242.88
Andrea Maurino473653.87
Blerina Spahiu5256.28
Vincenzo Ferme615115.14