Time-spatial enrichment of (meta) data for optimizing the exploration and exploitation of scientific collections

15 December 2016 → 15 September 2019
Federal funding: various
Research disciplines
  • Natural sciences
    • Data mining
  • Social sciences
    • Knowledge representation and machine learning
  • Medical and health sciences
    • Data visualisation and high-throughput image analysis
Project description

Our first objective is to investigate the added value of spatio-temporal (meta)data extraction and enrichment with natural language processing and computer vision techniques in the context of FSI collections. The project outcome will be a toolbox to automatically improve the metadata quality of collection items. The second objective of the UGESCO project is to develop a web-based platform for exploration of the collection (meta)data in time and space. To enhance the exploitation and utilization of collection data in a spatio-temporal way, we will introduce novel interaction mechanisms based on triangular ime models and mapcentric querying. Providing spatio-temporal querying options to the end user, will help to take away search costs of finding collection items related to a desired place/time and increase the overall user satisfaction.