Towards geographic databases enrichment

  • Authors:
  • Khaoula Mahmoudi;Sami Faïz

  • Affiliations:
  • Laboratoire URISA - SUPCOM, Cité Technologique des Communications, Ariana, Tunisie;Laboratoire LTSIRS - ENIT, Tunis, Tunisie

  • Venue:
  • NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
  • Year:
  • 2010

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Abstract

The geographic database (GDB) is the backbone of the geographic information system (GIS). Indeed, all kinds of data managements are based and strongly affected by the type, relevancy and scope of the stored data. Nevertheless, this dataset is sometimes insufficient to make the adequate decision. Then, it is of primary interest to provide other data sources to complement the inherent GDB. In this context, we propose a four staged semantic data enrichment approach consisting of: text segmentation, theme identification, delegation and text filtering. Besides, a refinement is eventually executed to enhance the data enrichment results.