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An Architecture for Knowledge Intensive CBR Systems [chapter]

Belén Díaz-Agudo, Pedro A. González-Calero
2000 Lecture Notes in Computer Science  
In this paper we describe a domain independent architecture to help in the design of knowledge intensive CBR systems.  ...  It is based on the knowledge incorporation from a library of application-independent ontologies and the use of an ontology with the common CBR terminology that guides the case representation and allows  ...  We will perform empirical studies comparing our system with other CBR shells, mainly for the CBR system design time, and the efficiency, quality of the results, suitability and effectiveness of the designed  ... 
doi:10.1007/3-540-44527-7_5 fatcat:tdn5nhidirhwlazokgxbi3weuy

Rapid Prototyping of CBR Applications

Armin Stahl, Thomas Roth-Berghofer
2009 Künstliche Intelligenz  
In this paper a novel, freely available tool for rapid prototyping of Case-based Reasoning (CBR) applications is presented.  ...  to rapidly create their first CBR applications.  ...  In this article we give an overview of the basic concept and system architecture of myCBR and we describe how rapid prototyping of CBR applications is supported by myCBR.  ... 
dblp:journals/ki/StahlR09 fatcat:cscjquhbufccjeza7yltbsbbzy

An ontology based CBR architecture for knowledge management in BULCHINO catalogue

Nadezhda Govedarova, Stanimir Stoyanov, Ivan Popchev
2008 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing - CompSysTech '08  
In this paper we present otology-based architecture for knowledge management in BULCHINO web-based catalogue for Bulgarian cultural heritage.  ...  We provide an insight of the technical aspects of the architecture by enumerating the technological requirements, where we pay specific attention to the CBR framework jCOLIBRI and its features for implementing  ...  Apart from specific domain knowledge every knowledge intensive system should include general knowledge, as well, to improve its reasoning power.  ... 
doi:10.1145/1500879.1500953 dblp:conf/compsystech/GovedarovaSP08 fatcat:iw3mvduaqfbdxafofnsxu7h6gy

A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management

Andreas Martin, Sandro Emmenegger, Knut Hinkelmann, Barbara Thönssen
2016 Enterprise Information Systems  
Utilising an enterprise ontology improves the case-based reasoning system through the systematic inclusion of enterprisespecific knowledge.  ...  In this section we introduce the main concepts starting with a brief overview on CBR, followed by related work concerning enterprise ontologies and enterprise architecture frameworks.  ...  Acknowledgement We would like to thank Helmar Steinmann, Thorsten Herb and Holger Aumann, from the ELO Digital Office CH AG for their project support and for providing us with the use case.  ... 
doi:10.1080/17517575.2016.1161239 fatcat:64tqz4hvrrdhfm4tuhb3kdnlqm

Building an Integrated CBR-Big Data Oriented Architecture for Case-Based Reasoning Systems

Kareem Amin
2017 International Conference on Case-Based Reasoning  
SEASALT is an application independent architecture to work with heterogeneous data repositories and modularizing knowledge.  ...  It was proposed based on the CoMES approach to develop collaborative multi-expert systems and provides an application-independent architecture that features knowledge acquisition from a Web community,  ... 
dblp:conf/iccbr/Amin17 fatcat:gf6srdix5fhqvbddpwabute4eq

Knowledge-Intensive Case-Based Reasoning in CREEK [chapter]

Agnar Aamodt
2004 Lecture Notes in Computer Science  
A knowledge-intensive CBR method calls for powerful knowledge acquisition and modeling techniques, as well as machine learning methods that take advantage of the general knowledge represented in the system  ...  Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge.  ...  As Fig. 1 indicates, the notion of knowledge-intensiveness is not an either/or issue. CBR systems may be more or less knowledge-intensive.  ... 
doi:10.1007/978-3-540-28631-8_1 fatcat:76sghklednezbjeodgtoke7tga

Building an integrated CBR-Big Data Architecture based on SEASALT

Kareem Amin
2016 Lernen, Wissen, Daten, Analysen  
The growth of intensive data-driven decision-making is now being recognized broadly. In this paper I propose a CBR -Big Data oriented architecture based on the SEASALT architecture.  ...  I will use the state-of-the-art/best practices approaches for managing Big Data and CBR.  ...  They proposed an innovative multi-agent system architecture, in which they have a coordinator agent that is responsible for receiving new cases, then pass it to n agents.  ... 
dblp:conf/lwa/Amin16 fatcat:qp37mzj4jvfidpdjxmzmfdsl4m

Building CBR systems with jcolibri

Belén Díaz-Agudo, Pedro A. González-Calero, Juan A. Recio-García, Antonio A. Sánchez-Ruiz-Granados
2007 Science of Computer Programming  
In this paper we are presenting jCOLIBRI, an object-oriented framework in Java for building CBR systems, that greatly benefits from the reuse of previously developed CBR systems. (B.  ...  Now that CBR has become a mature and established technology two necessities have become critical: the availability of tools to build CBR systems, and the accumulated practical experience of applying CBR  ...  jCOLIBRI jCOLIBRI is a system for building CBR applications that is an evolution of previous work on knowledge intensive CBR [8, 9] .  ... 
doi:10.1016/j.scico.2007.02.004 fatcat:tr4jpuivgze2djyz6wcqzaoidy

JColibri: An Object-Oriented Framework for Building CBR Systems [chapter]

Juan José Bello-Tomás, Pedro A. González-Calero, Belén Díaz-Agudo
2004 Lecture Notes in Computer Science  
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 that promotes software reuse for building CBR systems, integrating the application of well proven Software Engineering techniques with a knowledge level description that  ...  Conclusions We have presented an object-oriented framework in Java to build CBR systems.  ... 
doi:10.1007/978-3-540-28631-8_4 fatcat:b7vdtq4jqrfnhhcjplxjc6x65q

Use a domain ontology to develop knowledge intensive CBR systems for fault diagnosis

N. Dendani, Med. Khadir, S. Guessoum, Badji Mokhtar
2012 2012 International Conference on Information Technology and e-Services  
In order to better exploit the ontology and reason using its classes, sub-classes and instances a Case Based Reasoning (CBR) paradigm is chosen, as it offers an ideal solution for diagnostic of real application  ...  In the light of this statement, our work aims at realizing a system which consists in gathering the knowledge and the know-how in the field of fault diagnosis for steam turbines, by the construction of  ...  Reasoning Infrastructures), an environment to assist during the design of knowledge intensive CBR (KI-CBR) systems.  ... 
doi:10.1109/icites.2012.6216660 fatcat:255ih7r4jzcvxj5zwtbfy3ouh4

Case Retrieval in Ontology-Based CBR Systems [chapter]

Amjad Abou Assali, Dominique Lenne, Bruno Debray
2009 Lecture Notes in Computer Science  
This paper présents our knowledge-intensive Case-Based Reasoning platform for diagnosis, COBRA. It intégrâtes domain knowledge along with cases in an ontological structure.  ...  We présent in this paper our System architecture and the case retrieval phase. Then, we introduce the notions of similarity régions and attributes' rôles used to overcome cases heterogeneity problems.  ...  Sébastien Bouchet (INERIS) for his active participation to the development of the gas sensor ontology and the case base. Références  ... 
doi:10.1007/978-3-642-04617-9_71 fatcat:npqore7xwva5lfipqnzkr5qbpm

Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems

Klaus-Dieter Althoff, Kerstin Bach, Jan-Oliver Deutsch, Alexandre Hanft, Jens Mänz, Thomas Müller, Régis Newo, Meike Reichle, Martin Schaaf, Karl-Heinz Weis
2007 Deutsche Jahrestagung für Künstliche Intelligenz  
We describe a new research effort for developing knowledge-based systems using a combination of methods from Software Engineering and Artificial Intelligence: software product-lines, experience factory  ...  , case-based reasoning, multi-agent-systems, and semantic web technology.  ...  for the SIMOCOSTS project; Thomas Schmidt for providing idea, knowledge, and platform for the docQuery project; the Debian community members providing us with feedback for the FLOSSWALD project.  ... 
dblp:conf/ki/AlthoffBDHMMNRSW07 fatcat:lwgswgnqtffmfbbknkg5ntad3m

A hybrid CBR and BN architecture refined through data analysis

Tore Bruland, Agnar Aamodt, Helge Langseth
2011 2011 11th International Conference on Intelligent Systems Design and Applications  
The overall goal of this research is to study reasoning under uncertainty by combining Bayesian Networks and Case-Based Reasoning through constructing an experimental decision support system for classification  ...  This culminates in a hybrid system architecture, where CBR handles the exceptions or outliers with respect to the distribution of the data and the target class, while BN handles the more common situations  ...  We wish to thank Cinzia Brunelli and Anne Kari Knudsen for providing the medical data set, interpreting the data, and analyzing the relevance of the features from a clinical perspective.  ... 
doi:10.1109/isda.2011.6121773 dblp:conf/isda/BrulandAL11 fatcat:3a32i2sum5bnpopumqo7i4nbpe

Case Based Reasoning: Case Representation Methodologies

Shaker H., Mohammed Elmogy
2015 International Journal of Advanced Computer Science and Applications  
Moreover, the case retrieval and future challenges for effective CBR are explained. Case representation methods are grouped in to knowledge-intensive approaches and traditional approaches.  ...  Selecting case representation formalism is critical for the proper operation of the overall CBR system. In this paper, we survey and evaluate all of the existing case representation methodologies.  ...  [75] created a domain independent architecture to help in the design of knowledge intensive CBR systems. PSM describe the reasoning process of a Knowledge Based System in an implementation-and  ... 
doi:10.14569/ijacsa.2015.061126 fatcat:yhnymzvac5f6zplqliddkx5ikq

Decision Support combining Machine Learning, Knowledge Representation and Case-Based Reasoning

Carlo Mehli, Knut Hinkelmann, Stephan Jüngling
2021 AAAI Spring Symposia  
The designed prototype showcases how ML and CBR methodologies can be combined to support decision making in knowledge intensive processes and finally concludes with potential recommendations for future  ...  The resulting system design is based on a combination of Case-Based Reasoning (CBR) and Machine Learning (ML).  ...  However, knowledge acquisition for CBR systems is still an issue, since case attributes and similarity measures have to be defined when designing the system [13] .  ... 
dblp:conf/aaaiss/MehliHJ21 fatcat:yrnopcy4wzeh3ptrqskd5u7fpu
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