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arXiv · 2210.02640

ForestQB: An Adaptive Query Builder to Support Wildlife Research

Omar Mussa·Omer Rana·Benoît Goossens·Pablo Orozco-terWengel·Charith Perera
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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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Omar Mussa, Omer Rana, Benoît Goossens, Pablo Orozco-terWengel, Charith Perera. 2022-10-06. ForestQB: An Adaptive Query Builder to Support Wildlife Research. https://arxiv.org/abs/2210.02640

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