WildInsight: a Chatbot for Wildlife Conservation Research

2026
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Authors: Anna Sokol; Xiangliang Zhang; Nitesh V.Chawla
Published in: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track
Publisher: Springer Nature Switzerland

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Abstract

WildInsight is a chatbot designed to assist wildlife conservation research by leveraging advanced machine learning techniques. It addresses the challenges of complex data analysis and information overload in the field. The system is built upon a rigorously curated corpus of peer-reviewed articles that apply machine learning and AI techniques in wildlife conservation research. WildInsight employs a retrieval-augmented generation (RAG) framework to provide accurate, contextually grounded responses. It features an intuitive chat interface with structured answers and mandatory inline citations, promoting efficient navigation and deeper research exploration. The system's knowledge base is constructed by embedding concatenated title, abstract, and keyword texts from each publication, ensuring high-quality retrieval. WildInsight's primary users are wildlife researchers and conservation practitioners, providing rapid, evidence-based insights essential for informed ecological decision-making.

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Title: WildInsight: a Chatbot for Wildlife Conservation Research
Authors: Anna Sokol
Xiangliang Zhang
Nitesh V.Chawla
Publisher: Springer Nature Switzerland
Book: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track
Print ISBN: 978-3-032-06128-7

Electronic ISBN: 978-3-032-06129-4

Copyright Year: 2026
DOI: https://doi.org/10.1007/978-3-032-06129-4_41

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