Process-to-Text: A Framework for the Automatic Generation of Natural Language Descriptions of Processes
- Autores: Yago Fontenla Seco
- Directores de la Tesis: Alberto José Bugarín Diz (dir. tes.), Manuel Lama Penín (dir. tes.)
- Lectura: En la Universidade de Santiago de Compostela ( España ) en 2024
- Idioma: inglés
- Tribunal Calificador de la Tesis: Adela del Río Ortega (presid.), Manuel Mucientes Molina (secret.), Robert Confalonieri (voc.)
- Programa de doctorado: Programa de Doctorado en Investigación en Tecnologías de la Información por la Universidad de A Coruña y la Universidad de Santiago de Compostela
- Materias:
- Enlaces
- Tesis en acceso abierto en: MINERVA
- Resumen
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.
