Process-to-TextA Framework for the Automatic Generation of Natural Language Descriptions of Processes

  1. Fontenla Seco, Yago
Dirixida por:
  1. Alberto José Bugarín Diz Director
  2. Manuel Lama Penín Director

Universidade de defensa: Universidade de Santiago de Compostela

Fecha de defensa: 29 de febreiro de 2024

Tribunal:
  1. Adela del Río Ortega Presidente/a
  2. Manuel Mucientes Molina Secretario
  3. Robert Confalonieri Vogal
Departamento:
  1. Departamento de Electrónica e Computación

Tipo: Tese

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.