Process-to-Text: A Framework for the Automatic Generation of Natural Language Descriptions of Processes
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http://hdl.handle.net/10347/33061
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Título: | Process-to-Text: A Framework for the Automatic Generation of Natural Language Descriptions of Processes |
Autor/a: | Fontenla Seco, Yago |
Dirección/Titoría: | Bugarín Diz, Alberto J. Lama Penín, Manuel |
Centro/Departamento: | Universidade de Santiago de Compostela. Escola de Doutoramento Internacional (EDIUS) Universidade de Santiago de Compostela. Programa de Doutoramento en Investigación en Tecnoloxías da Información |
Palabras chave: | Inteligencia Artificial | Generación de Lenguaje Natural | Minería de Procesos | Procesos de Negocio | Términos Lingüísticos Borrosos | |
Data: | 2024 |
Resumo: | Effectively presenting and comprehending processes is a challenging task. This thesis introduces different solutions for communicating process knowledge via natural language. We propose a taxonomy of relevant process descriptions based on a fuzzy protoform model, validated by medical experts. We introduce the Process-to-Text framework, building on the Data- To-Text architecture, leverages process mining techniques in an ontology-driven system using fuzzy logic, for the generation of accurate and contextually-aware process descriptions. Additionally, we introduce C-4PM, a conversational agent for declarative process mining, enhancing interaction and knowledge inference through natural language. This work signifies a stride towards making process mining accessible and understandable for a broader audience. |
URI: | http://hdl.handle.net/10347/33061 |
Dereitos: | Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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