< Back to previous page

Project

Upscaling the Geo-temporal Enrichment, exploration and exploitation of Scientific COllections (UGESCO)

The majority of digital collections at the FSIs (Federal Scientific Institutions) still have (meta)data issues affecting the exploration, interpretation and exploitation of their content. The coherence between the collection items and their searchability is rather limited, which sometimes makes it difficult to generate scientific value out of it. The current metadata scope of the photo archives, for example, is too narrow and too high-level to allow easy and adequate exploration of the collection data.

The UGESCO project will develop geo-temporal (meta)data extraction and enrichment tools to extend and link the existing collection items and facilitate spatio-temporal collection mapping for interactive querying. In order to optimize the quality of the temporal and spatial annotations that are retrieved by our automatic enrichment tools, the UGESCO project will also investigate the added value of microtask crowdsourcing in validating and improving the generated metadata. Finally, to ensure optimal exploitation of the generated content, metadata management/filtering techniques will be investigated to optimize the quality and usability of all this metadata and geo-temporal mapping services will be developed to visualize and query the data in an end user-oriented way. These mappings allow cross-collection analysis in time and space facilitating scientific interpretation of collection items in a broader sense.

 

Date:15 Dec 2016 →  15 Mar 2019
Keywords:NER, geo-temporal enrichment, metadata, crowdsourced microtasks, named entity recognition, NLP
Disciplines:Language studies