Analyzing the Spatial-Semantic Interaction of Points of Interest in Volunteered Geographic Information

  • Christoph Mülligann
  • Krzysztof Janowicz
  • Mao Ye
  • Wang-Chien Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6899)

Abstract

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 mis-categorization. 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.

Keywords

Point Process Semantic Similarity Semantic Distance Volunteer Geographic Information Point Pattern Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Christoph Mülligann
    • 1
  • Krzysztof Janowicz
    • 2
  • Mao Ye
    • 3
  • Wang-Chien Lee
    • 3
  1. 1.Institute for GeoinformaticsUniversity of MünsterGermany
  2. 2.Department of GeographyUniversity of CaliforniaSanta BarbaraUSA
  3. 3.Department of Computer Science and EngineeringPennsylvania State UniversityUSA

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