ForestQB: An Adaptive Query Builder to Support Wildlife Research

10/06/2022
by   Omar Mussa, et al.
0

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

READ FULL TEXT
research
04/11/2019

Ontologies-based Architecture for Sociocultural Knowledge Co-Construction Systems

Considering the evolution of the semantic wiki engine based platforms, t...
research
03/11/2021

Interface to Query and Visualise Definitions from a Knowledge Base

The semantic linked data model is at the core of the Web due to its abil...
research
07/13/2021

Querying Linked Data: how to ensure user's quality requirements

In the distributed and dynamic framework of the Web, data quality is a b...
research
01/11/2023

Semantic Web Enabled Geographic Question Answering Framework: GeoTR

With the considerable growth of linked data, researchers have focused on...
research
03/09/2018

Improving lifecycle query in integrated toolchains using linked data and MQTT-based data warehousing

The development of increasingly complex IoT systems requires large engin...
research
07/10/2023

The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space

Graph data management is instrumental for several use cases such as reco...
research
03/16/2015

GeomRDF: A Geodata Converter with a Fine-Grained Structured Representation of Geometry in the Web

In recent years, with the advent of the web of data, a growing number of...

Please sign up or login with your details

Forgot password? Click here to reset