Elevating Semantic Exploration: A Novel Approach Utilizing Distributed Repositories

TL;DR

This paper presents a distributed document repository system for the Italian Ministry of Justice that enhances semantic exploration by utilizing edge repositories to analyze textual data and metadata.

Contribution

It introduces a novel distributed repository architecture with edge repositories specifically designed to improve semantic data analysis in large-scale systems.

Findings

Enhanced semantic exploration capabilities demonstrated

Improved scalability and fault tolerance in the system

Effective analysis of textual data and metadata

Abstract

Centralized and distributed systems are two main approaches to organizing ICT infrastructure, each with its pros and cons. Centralized systems concentrate resources in one location, making management easier but creating single points of failure. Distributed systems, on the other hand, spread resources across multiple nodes, offering better scalability and fault tolerance, but requiring more complex management. The choice between them depends on factors like application needs, scalability, and data sensitivity. Centralized systems suit applications with limited scalability and centralized control, while distributed systems excel in large-scale environments requiring high availability and performance. This paper explores a distributed document repository system developed for the Italian Ministry of Justice, using edge repositories to analyze textual data and metadata, enhancing semantic exploration capabilities.