A model of Cross Language Retrieval for IT domain papers through a map of ACM Computing Classification System

TL;DR

This paper introduces Ontology Navigator, a tool using ACM's classification system to help IT researchers find relevant papers across languages through an ontology-based interface.

Contribution

It presents a novel ontology-based model and tool for cross-language retrieval of IT papers, enhancing accessibility for researchers and learners.

Findings

Effective cross-language retrieval using ACM classification

Automatic French translation of the ontology

User-friendly visualization and navigation interface

Abstract

This article presents a concept model, and the associated tool to help advanced learners to find adapted bibliography. The purpose is the use of an IT representation as educational research software for newcomers in research. We use an ontology based on the ACM's Computing Classification System in order to find scientific articles directly related to the new researcher's domain without any formal request. An ontology translation in French is automatically proposed and can be based on Web 2.0 enhanced by a community of users. A visualization and navigation model is proposed to make it more accessible and examples are given to show the interface of our tool: Ontology Navigator.