Abstract
Resolving land use codes between jurisdictions has been an on-going problem due to differences in terms and the nuances of partial similarity of concepts. This paper reports on creating a land use ontology that, contrary to being limited to the highest level of codes or to the most-often used codes, retains all codes. It is also novel in that it records the more subtle relationships between codes rather than just using subclassing. The purpose of creating this comprehensive type of ontology is to provide precise answers to searches of heterogeneous land use codes across jurisdictions. Land use affects important planning decisions, and detail is critical. To query the ontology, custom Java code was written, rather than using SPARQL, to be able to traverse down or up the tree to find the closest matching code when an exact match does not occur.
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Wiegand, N. (2012). Preserving Detail in a Combined Land Use Ontology. In: Xiao, N., Kwan, MP., Goodchild, M.F., Shekhar, S. (eds) Geographic Information Science. GIScience 2012. Lecture Notes in Computer Science, vol 7478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33024-7_21
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DOI: https://doi.org/10.1007/978-3-642-33024-7_21
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