How to normalize cooccurrence data? An analysis of some well-known similarity measures
Journal of the American Society for Information Science and Technology
Algorithm, implementation and application of the SIM-DL similarity server
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Semi-automatic interpretation of buildings and settlement areas in user-generated spatial data
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Towards quality metrics for OpenStreetMap
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
The Semantic Web needs more cognition
Semantic Web
On the semantic annotation of places in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Spatial relations for semantic similarity measurement
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
On the semantic annotation of places in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Weighted multi-attribute matching of user-generated points of interest
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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With the increasing success and commercial integration of Volunteered Geographic Information (VGI), the focus shifts away from coverage to data quality and homogeneity. Within the last years, several studies have been published analyzing the positional accuracy of features, completeness of specific attributes, or the topological consistency of line and polygon features. However, most of these studies do not take geographic feature types into account. This is for two reasons. First, and in contrast to street networks, choosing a reference set is difficult. Second, we lack the measures to quantify the degree of feature type miscategorization. In this work, we present a methodology to analyze the spatial-semantic interaction of point features in Volunteered Geographic Information. Feature types in VGI can be considered special in both, the way they are formed and the way they are applied. Given that they reflect community agreement more accurately than top-down approaches, we argue that they should be used as the primary basis for assessing spatial-semantic interaction. We present a case study on a spatial and semantic subset of OpenStreetMap, and introduce a novel semantic similarity measure based on the change history of OpenStreetMap elements. Our results set the stage for systems that assist VGI contributors in suggesting the types of new features, cleaning up existing data, and integrating data from different sources.