ForestQB: An Adaptive Query Builder to Support Wildlife Research
Information Retrieval
2022-10-07 v1
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
Cite
@article{arxiv.2210.02640,
title = {ForestQB: An Adaptive Query Builder to Support Wildlife Research},
author = {Omar Mussa and Omer Rana and Benoît Goossens and Pablo Orozco-terWengel and Charith Perera},
journal= {arXiv preprint arXiv:2210.02640},
year = {2022}
}
Comments
In Proceedings of the 12th International Semantic Web Conference (Posters & Demonstrations Track), 2022