Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Implementation and optimization techniques
The description logic handbook
A dissimilarity measure for ALC concept descriptions
Proceedings of the 2006 ACM symposium on Applied computing
IEEE Intelligent Systems
Similarity measurement in context
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Algorithm, implementation and application of the SIM-DL similarity server
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Understanding context before using it
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Semantic similarity of ontology instances tailored on the application context
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Spatial relations between classes of individuals
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
Spatial relations for semantic similarity measurement
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Similarity-Based Information Retrieval and Its Role within Spatial Data Infrastructures
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
Semantic rules for context-aware geographical information retrieval
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
Geospatial semantics: a critical review
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part I
A hybrid knowledge-based and data-driven approach to identifying semantically similar concepts
Journal of Biomedical Informatics
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Similarity measurement is currently being established as a method to explore content on the Semantic Web. Semantically annotated content requires formal concept specifications. Such concepts are dynamic and their semantics can change depending on the current context. The influence of context on similarity measurement is beyond dispute and reflected in recent similarity theories. However, the systematics of this influence has not been investigated so far. Intuitively, the results of similarity measurements should change depending on the impact of the current context. Particularly, such change should converge to 0 with a decreasing impact of the respective contexts. To hold up to this assertion, a quantification of the impact of context on similarity measurements is required. In this paper, we use a combination of the SIM-DL theory, which measures similarity between concepts represented using description logic, and a context model distinguishing between internal and external context to quantify this impact. The behavior of similarity measurements within an ontology specifying geospatial feature types is observed under varying contexts. The results are discussed with respect to the corresponding impact values.