WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights
Wildlife management is increasingly reliant on data-driven insights to address the impacts of climate change on species and ecosystems. However, the complexity of accessing and querying large, multimodal datasets often limits the ability of non-technical users, such as wildlife managers and conservationists, to make informed decisions. To address this challenge, we present WildlifeLookup, a public accessible, intelligent chatbot designed to facilitate natural language interaction with a novel knowledge graph (KN-Wildlife) that houses critical wildlife and environmental data. WildlifeLookup simplifies access to species distributions, habitat interactions, and climate-related events by converting user queries into precise graph queries, reducing the technical barriers for end users. The chatbot WildlifeLookup is available at https://oknbot.ngrok.dev/
Authors
- Xiangliang Zhang (ORCID: https://orcid.org/0000-0002-3574-5665)
- Jason R. Rohr (ORCID: https://orcid.org/0000-0001-8285-4912)
- Tianyu Yang (ORCID: https://orcid.org/0000-0002-1964-0441)
- X. Wang (ORCID: https://orcid.org/0000-0002-2291-9443)
- Nitesh V. Chawla (ORCID: https://orcid.org/0000-0003-3932-5956)
- Brett R. Scheffers (ORCID: https://orcid.org/0000-0003-2423-3821)
Institutions
- University of Notre Dame (US)
- University of Florida (US)
Publication Details
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1145/3701551.3704121
- Citations
- 1
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 2.28