This contribution outlines the design of a Knowledge Hub of heterogeneous documents related to the Mediterranean Action Plan UNEP-MAP of the United Nations Environment Program [1]. The Knowledge Hub is intended to serve as a resource to assist public authorities and users with different backgrounds and needs in accessing information efficiently. Users can either formulate natural language queries or navigate a knowledge graph automatically generated to find relevant documents. The Knowledge Hub is designed based on state-of-the-art Large Language Models. (LLMs) A user-evaluation experiment was conducted, testing publicly available models on a subset of documents using distinct LLMs settings. This step was aimed to identify the best-performing model for further using it to classify the documents with respect to the topics of interest.

Design of a Knowledge Hub of Heterogeneous Multisource Documents to support Public Authorities

Paolo Tagliolato Acquaviva d'Aragona;Gloria Bordogna;Alessandro Oggioni
2024

Abstract

This contribution outlines the design of a Knowledge Hub of heterogeneous documents related to the Mediterranean Action Plan UNEP-MAP of the United Nations Environment Program [1]. The Knowledge Hub is intended to serve as a resource to assist public authorities and users with different backgrounds and needs in accessing information efficiently. Users can either formulate natural language queries or navigate a knowledge graph automatically generated to find relevant documents. The Knowledge Hub is designed based on state-of-the-art Large Language Models. (LLMs) A user-evaluation experiment was conducted, testing publicly available models on a subset of documents using distinct LLMs settings. This step was aimed to identify the best-performing model for further using it to classify the documents with respect to the topics of interest.
2024
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA - Sede Secondaria Milano
Knowledge Hub, Large Language Models, Natural Language Queries, Knowledge graph
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/512876
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