Analyzing the spatial-semantic interaction of points of interest in volunteered geographic information

Christoph Mülligann, Krzysztof Janowicz, Mao Ye, Wang Chien Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

53 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationSpatial Information Theory - 10th International Conference, COSIT 2011, Proceedings
Number of pages21
StatePublished - 2011
Event10th International Conference on Spatial Information Theory, COSIT 2011 - Belfast, ME, United States
Duration: Sep 12 2011Sep 16 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6899 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th International Conference on Spatial Information Theory, COSIT 2011
Country/TerritoryUnited States
CityBelfast, ME

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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