Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Applying Case Retrieval Nets to Diagnostic Tasks in Technical Domains
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Using Description Logics for Knowledge Intensive Case-Based Reasoning
EWCBR '96 Proceedings of the Third 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
An Architecture for Knowledge Intensive CBR Systems
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Classification Based Retrieval Using Formal Concept Analysis
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Declarative Similarity Framework for Knowledge Intensive CBR
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case Retrieval Nets: Basic Ideas and Extensions
KI '96 Proceedings of the 20th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
The Description Logic Handbook
The Description Logic Handbook
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Case retrieval nets for heuristic lexicalization in natural language generation
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
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The aim of the research conducted is to investigate how the knowledge in Ontologies can be used to acquire and refine the weights required in Case Retrieval Networks (CRNs). CRNs are designed to perform efficient retrieval processes even in large case bases but they lack from the flexibility and over restrict the circumstances under which the cases are retrieved. We investigate how ontologies can be used to relax these restrictions. We propose a retrieval method where the cases are embedded in a CRN but the weights are dynamically computed using the knowledge from the domain ontology and from the query description.