Varieties of knowledge elicitation techniques
International Journal of Human-Computer Studies
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
IEEE Intelligent Systems
Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. (Advanced Information and Knowledge Processing)
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
Structure-based methods to enhance geospatial ontology alignment
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Algorithm, implementation and application of the SIM-DL similarity server
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Semantic referencing - determining context weights for similarity measurement
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Introducing the new SIM-DLA semantic similarity measurement plug-in for the Protégé ontology editor
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Semantics and Ontologies
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In the last years, several methodologies for ontology engineering have been proposed. Most of these methodologies guide the engineer from a first paper draft to an implemented --mostly description logics-based --ontology. A quality assessment of how accurately the resulting ontology fits the initial conceptualization and intended application has not been proposed so far. In this paper, we investigate the role of semantic similarity as a quality indicator. Based on similarity rankings, our approach allows for a qualitative estimation whether the domain experts' initial conceptualization is reflected by the developed ontology and whether it fits the users' application area. Our approach does not propose yet another ontology engineering methodology but can be integrated into existing ones. A plug-in to the Protégé ontology editor implementing our approach is introduced and applied to a scenario from hydrology. The benefits and restrictions of similarity as a quality indicator are pointed out.