SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform


Abstract:

Researchers spend a lot of time on finding information about people, events, journals, and research areas related to topics of their interest. Digital libraries and digital scholarly repositories usually offer services to assist researchers in this task. However, every research community has its own way of distributing scholarly metadata. Mailing lists provide an instantaneous channel and are often used for discussing topics of interest to a community of researchers, or to announce important information - albeit in an unstructured way. To bring structure specifically into the announcements of events and thus to enable researchers to, e.g., filter them by relevance, we present a semi-automatic crowd-sourcing workflow that captures metadata of events from call-for-papers emails into the OpenResearch.org semantic wiki. Evaluations confirm that our approach reduces the high number of actions that researchers currently have to perform manually when tracing calls for papers received via mailing lists.

Año de publicación:

2018

Keywords:

  • Mailing Lists
  • Knowledge acquisition
  • Semantic publishing
  • Semantic Media Wiki
  • Scientific Events
  • Metadata Extraction
  • Scientific Event Knowledge Graph

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ingeniería de software
  • Ciencias de la computación

Áreas temáticas:

  • Funcionamiento de bibliotecas y archivos
  • Biblioteconomía y Documentación informatica
  • Medios documentales, educativos, informativos; periodismo