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ForestQB: An Adaptive Query Builder to Support Wildlife Research
October 06, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Omar Mussa, Omer Rana, Benoรฎt Goossens, Pablo Orozco-terWengel, Charith Perera
arXiv ID
2210.02640
Category
cs.IR: Information Retrieval
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
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
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