This paper utilizes the rules’ structure to determine events whose effects are independent, and presents OWL2 models for both the rule schema and the timeline model, a scheme to visualize a summary of the generated timeline, and a tool to enable a parallelization of the timeline generation algorithm.
The results support the feasibility of ontology-driven generation for static-classification systems, whereas arithmetic risk computation and temporal event processing remain better suited to complementary procedural technologies.
Borivoj Bogdanović, S. Nikolić· Computers· 0 citations
This paper presents LIDI-AI, a Retrieval-Augmented Generation (RAG) system whose knowledge base consists of technical documentation for the LIDI-AI Research Assistant, a web-based data analysis application developed at Universidad del Azuay. The runtime architecture integrates two complementary knowledge sources: an OW...
Julián Rafael Coronel Andrade, Edwin Alexander Siguenza Siguenza, Andrew Sebastian Cantos Vasquez et al.· Revista Tecnológica - ESPOL· 0 citations
Relational database tuning traditionally relies on specialized heuristics and expert intuition, making the process difficult to scale, audit, and reproduce. While recent research has explored autonomic and AI-based systems to assist Database Administrators, the emergence of Large Language Models introduces a new paradi...
Érico Leão, Sérgio Lifschitz, A. Almeida et al.· Brazilian Symposium on Datab...· 0 citations
This work proposes 5W1H+Which, a semantic indexing design that separates content extraction from ontology binding, and distinguishes business valid time, system knowledge time, and operational traces, and uses dependency records to support binding revalidation and the maintenance of derived conclusions.
Ya-Xiao Liu, Peng Liu, Yi-Wen Liu et al.· 0 citations
