Relational instance-based learning with lists and terms
Machine Learning - Special issue on inducive logic programming
Similarity Measures for Object-Oriented Case Representations
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Study and Formalization of a Case-Based Reasoning System Using a Description Logic
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
A Refinement Operator for Description Logics
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Relational Case-based Reasoning for Carcinogenic Activity Prediction
Artificial Intelligence Review
Inductive inference of VL decision rules
ACM SIGART Bulletin
Artificial Intelligence in Medicine
On the Influence of Description Logics Ontologies on Conceptual Similarity
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
On Similarity Measures Based on a Refinement Lattice
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Abstraction in Knowledge-Rich Models for Case-Based Planning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A refinement operator based learning algorithm for the ALC description logic
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Foundations of refinement operators for description logics
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Ideal downward refinement in the EL description logic
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
An algorithm for adapting cases represented in an expressive description logic
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
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Similarity assessment is a key operation in many artificial intelligence fields, such as case-based reasoning, instance-based learning, ontology matching, clustering, etc. This paper presents a novel measure for assessing similarity between individuals represented using Description Logic (DL). We will show how the ideas of refinement operators and refinement graph, originally introduced for inductive logic programming, can be used for assessing similarity in DL and also for abstracting away from the specific DL being used. Specifically, similarity of two individuals is assessed by first computing their most specific concepts, then the least common subsumer of these two concepts, and finally measuring their distances in the refinement graph.