Approaches for the Clustering of Geographic Metadata and the Automatic Detection of Quasi-Spatial Dataset Series

Approaches for the Clustering of Geographic Metadata and the Automatic Detection of Quasi-Spatial Dataset Series

The discrete representation of resources in geospatial catalogues affects their information retrieval performance. The performance could be improved by using automatically generated clusters of related resources, which we name quasi-spatial dataset series. This work evaluates whether a clustering pr...

Full description

Bibliographic Details
Main Authors: Javier Lacasta, Francisco Javier Lopez-Pellicer, Javier Zarazaga-Soria, Rubén Béjar, Javier Nogueras-Iso
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
geospatial catalogues
metadata
information retrieval
clustering
word embeddings
Online Access:https://www.mdpi.com/2220-9964/11/2/87

Internet

https://www.mdpi.com/2220-9964/11/2/87

Similar Items