Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Godel Escher Bach: An Eternal Golden Braid
Godel Escher Bach: An Eternal Golden Braid
Toward the semantic geospatial web
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
IEEE Intelligent Systems
Kinds of Contexts and their Impact on Semantic Similarity Measurement
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
The Modern Algebra of Information Retrieval
The Modern Algebra of Information Retrieval
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Similarity as a Quality Indicator in Ontology Engineering
Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008)
Reasoning about categories in conceptual spaces
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
A metric conceptual space algebra
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
Constructing Bodies and their Qualities from Observations
Proceedings of the 2010 conference on Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS 2010)
Semantic rules for context-aware geographical information retrieval
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
Ontology design patterns for semantic web content
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Spatial relations for semantic similarity measurement
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Constructing geo-ontologies by reification of observation data
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Extracting spatiotemporal and semantic events from documents
Proceedings of the 7th Workshop on Geographic Information Retrieval
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Semantic similarity measurement is a key methodology in various domains ranging from cognitive science to geographic information retrieval on the Web. Meaningful notions of similarity, however, cannot be determined without taking additional contextual information into account. One way to make similarity measures context-aware is by introducing weights for specific characteristics. Existing approaches to automatically determine such weights are rather limited or require application specific adjustments. In the past, the possibility to tweak similarity theories until they fit a specific use case has been one of the major criticisms for their evaluation. In this work, we propose a novel approach to semi-automatically adapt similarity theories to the user's needs and hence make them context-aware. Our methodology is inspired by the process of georeferencing images in which known control points between the image and geographic space are used to compute a suitable transformation. We propose to semi-automatically calibrate weights to compute inter-instance and inter-concept similarities by allowing the user to adjust pre-computed similarity rankings. These known control similarities are then used to reference other similarity values.