A framework for semantic annotation of geospatial data for agriculture

نویسندگان

  • Carla Geovana N. Macário
  • Claudia Bauzer Medeiros
چکیده

The Web is a huge repository of geospatial information. Efficient retrieval of this information is a key factor in planning and decision-making in many domains, including agriculture. However, standards for data annotation and exchange enable only syntactic interoperability, while semantic heterogeneity presents challenges. This work describes a framework that tackles interoperability problems via semantic annotations, which are based on multiple ontologies. The framework is being developed within a project to support agricultural planning inBrazil. The paper discusses design and implementation issues using a real case study, provides an overview of annotation mechanisms and identifies requirements for annotating

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عنوان ژورنال:
  • IJMSO

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2009