A model of cross language retrieval for IT domain papers through a map of ACM Computing Classification System

Author

Kembellec, Gérald ; Saleh, Imad ; Sauvaget, Catherine

Author_Institution

Paragraphe Lab., Paris 8 Univ., St. Denis, France

fYear

2009

fDate

2-4 April 2009

Firstpage

162

Lastpage

168

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.

Keywords

Internet; bibliographic systems; classification; computer aided instruction; information retrieval; ontologies (artificial intelligence); ACM computing classification system; IT domain papers; Ontology Navigator; Web 2.0; adapted bibliography; cross language retrieval; educational research software; Bibliographies; Internet; Knowledge based systems; Laboratories; Natural languages; Navigation; Ontologies; Search engines; Software libraries; Visualization; Cross Language Research.; Digital Library; Domain Ontology; Information retrival; KBS; Metadata;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on

Conference_Location

Ouarzazate

Print_ISBN

978-1-4244-3756-6

Electronic_ISBN

978-1-4244-3757-3

Type

conf

DOI

10.1109/MMCS.2009.5256709

Filename

5256709