论文标题
ForestQB：一个自适应查询构建器支持野生动植物研究
ForestQB: An Adaptive Query Builder to Support Wildlife Research
论文作者
论文摘要
本文介绍了SPARQL查询构建器ForestQB，以帮助生物科学和野生动植物研究人员访问链接数据。由于它们不熟悉语义网和数据本体，因此ForestQB旨在使他们能够从使用链接的数据中受益于提取有价值的信息，而无需掌握数据的性质及其基础技术。 ForestQB正在将基于表单的查询构建器与自然语言集成在一起，以简化查询构造以符合用户要求。 https://iotgarage.net/demo/forestqb可用演示
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
