@ARTICLE{Lutz2008,
  author = {Lutz, Michael and Sprado, J{\"o}rn and Klien, Eva and Schubert, Chris
	and Christ, Ingrid},
  title = {Overcoming Semantic Heterogeneity in Spatial Data Infrastructures},
  journal = {Computers {\&} Geosciences},
  year = {2008},
  volume = {35},
  pages = {739--752},
  number = {4},
  abstract = {In current spatial data infrastructures (SDIs), it is still often
	difficult to effectively exchange or re-use geographic data sets.
	A main reason for this is semantic heterogeneity, which occurs at
	different levels: at the metadata, the schema and the data content
	level. It is the goal of the work presented in this paper to overcome
	the problems caused by semantic heterogeneity on all three levels.
	We present a method based on ontologies and logical reasoning, which
	enhances the discovery, retrieval, interpretation and integration
	of geographic data in SDIs. Its benefits and practical use are illustrated
	with examples from the domains of geology and hydrology.},
  keywords = {GIS,Knowledge Management,Qualitative representations},
  owner = {pmania},
  timestamp = {2012.11.06}
}