Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-98192-5_32 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Bottleneck,Knowledge graph,Information retrieval,Reuse,Profiling (computer programming),Computer science,Linked data,RDF | Conference | 11155 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Renzo Arturo Alva Principe | 1 | 0 | 0.34 |
| Blerina Spahiu | 2 | 25 | 6.28 |
| Matteo Palmonari | 3 | 450 | 44.73 |
| Anisa Rula | 4 | 214 | 15.67 |
| Flavio Paoli | 5 | 48 | 3.98 |
| Andrea Maurino | 6 | 736 | 53.87 |