Name
Abstract | ||
|---|---|---|
This paper presents ForestQB, a SPARQL query builder, to assist Bioscience and Wildlife Researchers in accessing Linked-Data. As they are unfamiliar with the Semantic Web and the data ontologies, ForestQB aims to empower them to benefit from using Linked-Data to extract valuable information without having to grasp the nature of the data and its underlying technologies. ForestQB is integrating Form-Based Query builders with Natural Language to simplify query construction to match the user requirements. Demo available at https://iotgarage.net/demo/forestQB |
Year | Venue | DocType |
|---|---|---|
2022 | International Semantic Web Conference (ISWC) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Mussa | 1 | 0 | 0.34 |
| Omer Rana | 2 | 0 | 2.03 |
| Benoît Goossens | 3 | 0 | 0.34 |
| Pablo Orozco-terWengel | 4 | 0 | 0.34 |
| Charith Perera | 5 | 827 | 50.52 |