Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
A unifying semantic distance model for determining the similarity of attribute values
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Towards an ontology-based retrieval of UML Class Diagrams
Information and Software Technology
CueNet: a context discovery framework to tag personal photos
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
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Finding the right semantic distance to be used for information research, classification or text clustering using Natural Language Processing is a problem studied in several domains of computer science We focus on measurements that are real distances: i.e that satisfy all the properties of a distance This paper presents one isa-distance measurement that may be applied to taxonomies This distance, combined with a distance based on relations other than isa, may be a step towards a real semantic distance for ontologies After presenting the purpose of this work and the position of our approach within the literature, we formally detail our isa-distance It is extended to other relations and used to obtain a MDS projection of a musical ontology in an industrial project The utility of such a distance in visualization, navigation, information research and ontology engineering is underlined.