Name
Abstract | ||
|---|---|---|
Triple Pattern Fragments (TPF) interface allows to query Linked Data datasets with high data availability. But, data providers do not integrate large amounts of datasets as Linked Data due to expensive investments in terms of storage and maintenance. The problem we focus on is how to integrate non-RDF datasets on-demand as Linked Data simply and efficiently. In this demo, we present ODMTP, an On-Demand Mapping using Triple Patterns over non-RDF datasets. ODMTP is implemented over a TPF server. We showcase it with SPARQL queries over Twitter. |
Year | Venue | Field |
|---|---|---|
2017 | International Semantic Web Conference (Posters, Demos & Industry Tracks) | Data integration,Data mining,Monad (category theory),Data availability,Computer science,Data mapping,Linked data,SPARQL,Database,RDF |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Moreau | 1 | 0 | 1.35 |
| Patricia Serrano-alvarado | 2 | 142 | 17.21 |
| Emmanuel Desmontils | 3 | 47 | 11.19 |
| David Thoumas | 4 | 0 | 0.34 |