ForestQB - Omar ISWC 2022 Demo

International Semantic Web Conference (ISWC)
2022

ForestQB is an adaptive query builder that supports wildlife research by enabling researchers to construct complex SPARQL queries through an intuitive visual interface.

Authors

Omar Mussa
Omer Rana
Benoît Goossens
Pablo Orozco-terWengel
Charith Perera

ForestQB: An Adaptive Query Builder to Support Wildlife Research

ForestQB provides an intuitive interface for wildlife researchers to query complex semantic datasets without requiring SPARQL expertise. The demo showcases how researchers can build sophisticated queries through a visual interface that adapts to their domain knowledge and data exploration needs.

Key Features

  • Visual Query Construction: Build SPARQL queries through drag-and-drop interface
  • Domain-Aware: Understands wildlife research terminology and data structures
  • Adaptive Interface: Learns from user patterns to suggest relevant query components
  • Real-time Results: Execute queries and visualize results immediately

Demo Video

The demonstration walks through various use cases of ForestQB in the context of wildlife conservation research at Danau Girang Field Centre.

  • Omar Mussa, Omer Rana, Benoît Goossens, Pablo Orozco-terWengel, and Charith Perera, ForestQB: An Adaptive Query Builder to Support Wildlife Research, 21st International Semantic Web Conference (Posters & Demonstrations Track), Hangzhou, China, 2022.

Project Context

This demo is part of the broader End-User Development for Linked-Data Observatories project, which aims to make complex semantic technologies accessible to domain experts.

Tags

semantic web wildlife research query builder SPARQL