Semantic Similarity Measurement and Geospatial Applications

With the increasing amount of geographic information available on the Internet, searching, browsing, and organizing such information has become a major challenge within the field of Geographic Information Science (GIScience). As all information is ultimately for and from human beings, the methodologies applied to retrieve and organize this information should correlate with human similarity judgments. Semantic similarity measurement, which originated in psychology, is a methodology fulfilling this requirement and supporting geographic information retrieval. The following special issue presents work on semantic similarity measurement from different perspectives, including cognitive science, information retrieval, and ontology engineering, with a focus on applications in GIScience. It originated in the Workshop on Semantic Similarity Measurement and Geospatial Applications held in conjunction with COSIT 2007, the International Conference on Spatial Information Theory (http://www.cosit.info/). A substantial part of the workshop contributions addressed the need for similarity measurement in geographic information retrieval, including applications in web service discovery, knowledge management, and emergency scenarios. The call for papers to this issue was based on these workshop contributions, discussions, and results (http://musil.uni-muenster.de), but open to any submissions on the role of semantic similarity in GIScience. Eleven papers were submitted and then

[1]  Krzysztof Janowicz,et al.  Kinds of Contexts and their Impact on Semantic Similarity Measurement , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).

[2]  M. Raubal,et al.  IMPLEMENTING SEMANTIC REFERENCE SYSTEMS , 2003 .

[3]  Werner Kuhn,et al.  Semantic reference systems , 2003, Int. J. Geogr. Inf. Sci..

[4]  Mark Gahegan,et al.  Building rich, semantic descriptions of learning activities to facilitate reuse in digital libraries , 2007, International Journal on Digital Libraries.

[5]  Ola Ahlqvist,et al.  Please Scroll down for Article International Journal of Geographical Information Science Using Uncertain Conceptual Spaces to Translate between Land Cover Categories Using Uncertain Conceptual Spaces to Translate between Land Cover Categories , 2022 .

[6]  Peter Gärdenfors,et al.  Conceptual spaces - the geometry of thought , 2000 .

[7]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[8]  Volker Haarslev,et al.  SEMANTICS-BASED INFORMATION RETRIEVAL , 1998 .

[9]  R. Shepard,et al.  Toward a universal law of generalization for psychological science. , 1987, Science.

[10]  Dedre Gentner,et al.  Mechanisms of Analogical Learning. , 1987 .

[11]  Angela Schwering,et al.  Approaches to Semantic Similarity Measurement for Geo‐Spatial Data: A Survey , 2008, Trans. GIS.

[12]  Steffen Staab,et al.  Measuring Similarity between Ontologies , 2002, EKAW.

[13]  M. Raubal.  Formalizing Conceptual Spaces , 2004 .

[14]  Philip Resnik,et al.  Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.

[15]  B. Indurkhya.  Metaphor and Cognition: An Interactionist Approach , 1992 .

[16]  Roy Rada,et al.  Development and application of a metric on semantic nets , 1989, IEEE Trans. Syst. Man Cybern..

[17]  Robert L. Goldstone.  Similarity, interactive activation, and mapping , 1994 .

[18]  Krzysztof Janowicz,et al.  The Effect of Context on Semantic Similarity Measurement , 2007, OTM Workshops.

[19]  W. Torgerson,et al.  Multidimensional scaling of similarity , 1965, Psychometrika.

[20]  Nicola Fanizzi,et al.  A Semantic Similarity Measure for Expressive Description Logics , 2009, ArXiv.

[21]  Martin Raubal,et al.  Representing Concepts in Time , 2008, Spatial Cognition.

[22]  Angela Schwering,et al.  Spatial Relations for Semantic Similarity Measurement , 2005, ER.

[23]  K. Holyoak,et al.  The Cambridge handbook of thinking and reasoning , 2005 .

[24]  Edwina L. Rissland,et al.  AI and Similarity , 2006, IEEE Intelligent Systems.

[25]  Krzysztof Janowicz,et al.  Algorithm, Implementation and Application of the SIM-DL Similarity Server , 2007, GeoS.

[26]  D. Gentner,et al.  PSYCHOLOGICAL SCIENCE Research Article STRUCTURAL ALIGNMENT IN COMPARISON: No Difference Without Similarity , 2022 .

[27]  Max J. Egenhofer,et al.  Spatial Similarity Queries with Logical Operators , 2003, SSTD.

[28]  Frederico T. Fonseca,et al.  TDD - A Comprehensive Model for Qualitative Spatial Similarity Assessment , 2005 .

[29]  Max J. Egenhofer,et al.  Toward the semantic geospatial web , 2002, GIS '02.

[30]  A. Tversky.  Features of Similarity , 1977 .

[31]  N. Chater,et al.  Similarity as transformation , 2003, Cognition.

[32]  Max J. Egenhofer,et al.  Comparing geospatial entity classes: an asymmetric and context-dependent similarity measure , 2004, Int. J. Geogr. Inf. Sci..

[33]  D. Gentner,et al.  Respects for similarity , 1993 .

[34]  Ola Ahlqvist,et al.  A Parameterized Representation of Uncertain Conceptual Spaces , 2004, Trans. GIS.

[35]  Max J. Egenhofer,et al.  Similarity of Spatial Scenes , 1998 .