Explanation in case-based reasoning–perspectives and goals
We present an overview of different theories of explanation from the philosophy and
cognitive science communities. Based on these theories, as well as models of explanation …
cognitive science communities. Based on these theories, as well as models of explanation …
Story plot generation based on CBR
In this paper we present a system for automatic story generation that reuses existing stories
to produce a new story that matches a given user query. The plot structure is obtained by a …
to produce a new story that matches a given user query. The plot structure is obtained by a …
[HTML][HTML] Explainable ontology-based intelligent decision support system for business model design and sustainability
Background: Case-Based Reasoning (CBR) is a problem-solving paradigm that uses
knowledge of relevant past experiences (cases) to interpret or solve new problems. CBR …
knowledge of relevant past experiences (cases) to interpret or solve new problems. CBR …
A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis
Objective Case-based reasoning (CBR) is a problem-solving paradigm that uses past
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …
Knowledge-intensive case-based reasoning in creek
A Aamodt - European Conference on Case-Based Reasoning, 2004 - Springer
Abstract Knowledge-intensive CBR assumes that cases are enriched with general domain
knowledge. In CREEK, there is a very strong coupling between cases and general domain …
knowledge. In CREEK, there is a very strong coupling between cases and general domain …
Building CBR systems with jCOLIBRI
B Díaz-Agudo, PA González-Calero… - Science of Computer …, 2007 - Elsevier
Case-based reasoning (CBR) is a paradigm for combining problem solving and learning
that has become one of the most successful applied subfields of AI in recent years. Now that …
that has become one of the most successful applied subfields of AI in recent years. Now that …
Ontology based CBR with jCOLIBRI
JA Recio-Garía, B Díaz-Agudo - International Conference on Innovative …, 2006 - Springer
Abstract jCOLIBRI 1 is a Java framework that helps designing Case Based Reasoning
systems. This paper presents the incorporation of Description Logics reasoning capabilities …
systems. This paper presents the incorporation of Description Logics reasoning capabilities …
[HTML][HTML] A fuzzy ontology modeling for case base knowledge in diabetes mellitus domain
S El-Sappagh, M Elmogy - … science and technology, an international journal, 2017 - Elsevier
Abstract Knowledge-Intensive Case-Based Reasoning Systems (KI-CBR) mainly depend on
ontologies. Ontology can play the role of case-base knowledge. The combination of …
ontologies. Ontology can play the role of case-base knowledge. The combination of …
Jcolibri: An object-oriented framework for building cbr systems
JJ Bello-Tomás, PA González-Calero… - European Conference on …, 2004 - Springer
We present an object-oriented framework in Java for building CBR systems that is an
evolution of previous work on knowledge intensive CBR [8, 9]. JColibri is a software artifact …
evolution of previous work on knowledge intensive CBR [8, 9]. JColibri is a software artifact …
Poetry generation in COLIBRI
B Díaz-Agudo, P Gervás… - Advances in Case-Based …, 2002 - Springer
CBROnto is an ontology that incorporates common Case-Based Reasoning (CBR)
terminology and serves as a domain-independent framework to design CBR applications. It …
terminology and serves as a domain-independent framework to design CBR applications. It …