A general framework for conflation
To date GIS-based conflation research has primarily been concerned with specific algorithms and tools for performing conflation on specific types of datasets. Most of these techniques focus on matching the geometry of geospatial features represented as points, polylines, and polygons. More recently the matching of the semantics of geospatial features has been identified as a key component of the conflation problem. In addition, conflation was conceived in terms of traditional GIS, but with the advent of neogeography, and in particular web-based maps with community-generated content, the representation of geospatial features on the earth has become increasingly heterogeneous in terms of geometry, semantics, data provenance, and error (Goodchild, 2007). In light of these complexities we present a general framework for conflation that aims to handle this diversity of representation.