Material Detail

MetaData Retrieval: A Software Prototype for the Annotation of Maps with Social Metadata

MetaData Retrieval: A Software Prototype for the Annotation of Maps with Social Metadata

This video was recorded at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Athens 2011. 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.

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.