Technical report
Open access

The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets

Publication date2019

Traditional verbatim browsers give back information in a linear way according to a ranking performed by a search engine that may not be optimal for the surfer. The latter may need to assess the pertinence of the information retrieved, particularly when she wants to explore other facets of a multi-facetted information space. For instance, in a multimedia dataset different facets such as keywords, authors, publication category, organisations and figures can be of interest. The facet simultaneous visualisation can help to gain insights on the information retrieved and call for further searches. Facets are cooccurence networks, modeled by HyperBag-Graphs - families of multisets - and are in fact linked not only to the publication itself, but to any chosen reference. These references allow to navigate inside the dataset and perform visual queries. We explore here the case of scientific publications based on Arxiv searches.

  • Hyperbag-graph
  • Scientific publication searching
  • Knowledge discovery
  • Visual queries
Citation (ISO format)
OUVRARD, Xavier Eric, LE GOFF, Jean-Marie, MARCHAND-MAILLET, Stéphane. The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets. 2019
Main files (1)
  • PID : unige:129069

Technical informations

Creation01/17/2020 5:24:00 PM
First validation01/17/2020 5:24:00 PM
Update time03/15/2023 6:47:31 PM
Status update03/15/2023 6:47:30 PM
Last indexation08/30/2023 10:06:27 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack