Automatic extraction and management of open access bibliographic information
Abstract:
Open access journals facilitate the access to research publications. However, the number of publications grows each year and the researchers devote so much time to the retrieval, analysis and management of bibliographic information. In this work, we present a framework to support the search, download and management of bibliographic information. A content-based recommender module is included into the framework. The research publication metadata and the corresponding PDF files are extracted using the recommender module and the Application Program Interface from the Directory of Open Access Journals (DOAJ). The results are presented to the user for the selection process. The selected publications are stored in a local database integrated in a bibliographic management system. A prototype was developed and was tested with information from open access journals managed by the DOAJ.
Año de publicación:
2018
Keywords:
- bibliographic information extraction
- recommender systems
- DOAJ
- Open access journals
- reference management systems
- Information Retrieval
- Digital libraries
Fuente:
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Base de datos
Áreas temáticas:
- Funcionamiento de bibliotecas y archivos
- Biblioteconomía y Documentación informatica
- Medios documentales, educativos, informativos; periodismo