Metadata retrieval: a software prototype for the annotation of maps with social metadata

  • Authors:
  • Rosa Meo;Elena Roglia;Enrico Ponassi

  • Affiliations:
  • Dep. Computer Science, University of Torino, Italy;Dep. Computer Science, University of Torino, Italy and ITHACA, Torino;Dep. Computer Science, University of Torino, Italy

  • Venue:
  • ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
  • Year:
  • 2011

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Abstract

MetaData Retrieval (MDR) is a software module for the enrichment of geo-referenced maps with metadata. Metadata are annotations on spatial locations that are taken from the Volunteered Graphical Information projects like OpenStreetMap and GeoNames. The MDR user acts with a user-friendly GUI, a Query By Example in which the user specifies in a multi-dimensional data model the spatial objects for which new information are searched for. The request is translated into SQL queries for the database and in web service requests for OpenStreetMap and GeoNames. Downloaded annotations are checked and compared with the history for duplicate elimination. Annotations are presented to the user in the context of an interactive, geo-referenced map and in a hierarchical, ontological structure, that is a facility for indexing and browsing. On demand, an annotation is stored in the system history. Finally, the user can filter the annotations that characterize a specified area by a statistical filter that compares the annotation frequency with the neighborhood.