Asistente para Poblar Repositorios: Recopilación de Objetos Digitales y Extracción de Metadatos

ANA CASALI; CLAUDIA DECO; SANTIAGO BELTRAMONE

IEEE VAEP-RITA

IEEE

Lugar: Vigo; Año: 2015 vol. 3 p. 1 - 8

This paper presents an assistant to populate Institutional Repositories. This tool can detect all educational digital objects in text format that are already published on institutional websites and can be uploaded to a repository. This recopilation is a tedious task and is usually performedmanually. In this paper we propose a system architecture forautomating this task of collecting text documents within arestricted domain in order to detect plausible documents thatcan be loaded into a repository. Also, its metadata such aslanguage, category, title, authors and their contact details areautomatically extracted. A prototype of this system wasdeveloped and case studies in two different domains are analyzed.