NAVMAT: An AI-supported naval failures knowledge management system

We present "NAVMAT", an intelligent, multilingual knowledge management platform designed to record and categorize material failure incidents reported in naval operations. This paper provides an overview of the platform, identifying its key software components and highlighting the information retrieval approach used to support user workflows. The platform primarily facilitates real-time, multilingual search and intelligent indexing, streamlining the incident management process while offering valuable insights from past incidents and knowledge resources. To achieve this, it employs a customized natural language processing pipeline integrated with a carefully engineered ontology. The ontology, regularly updated by domain experts, enriches the retrieval mechanism by instilling domain specific knowledge. This approach aims to reduce the significant variability in specialized terminology by promoting convergence towards a unified vocabulary.