This paper describes the jcolibri2 framework for building Case-based reasoning (CBR) systems. \CBR\ is a mature subfield of artificial intelligence based on the reuse of previous problem solutions–cases–to solve new ones. However, up until now, it lacked a reference toolkit for developing such systems. jcolibri2 aims to become that toolkit and to foster the collaboration among research groups. This software is the result of the experience collected over several years of framework development and evolution. This experience is explained in the paper, together with a description of the specialized \CBR\ tools that can be implemented with jcolibri: \CBR\ with textual cases, recommenders, knowledge/data intensive applications or distributed architectures.
%0 Journal Article
%1 reciogarcia2014jcolibri2
%A Recio-García, Juan A.
%A González-Calero, Pedro A.
%A Díaz-Agudo, Belén
%D 2014
%J Science of Computer Programming
%K based cased framework jcolibri2 reasoning
%N 0
%P 126 - 145
%R http://dx.doi.org/10.1016/j.scico.2012.04.002
%T jcolibri2: A framework for building Case-based reasoning systems
%U http://www.sciencedirect.com/science/article/pii/S0167642312000664
%V 79
%X This paper describes the jcolibri2 framework for building Case-based reasoning (CBR) systems. \CBR\ is a mature subfield of artificial intelligence based on the reuse of previous problem solutions–cases–to solve new ones. However, up until now, it lacked a reference toolkit for developing such systems. jcolibri2 aims to become that toolkit and to foster the collaboration among research groups. This software is the result of the experience collected over several years of framework development and evolution. This experience is explained in the paper, together with a description of the specialized \CBR\ tools that can be implemented with jcolibri: \CBR\ with textual cases, recommenders, knowledge/data intensive applications or distributed architectures.
@article{reciogarcia2014jcolibri2,
abstract = {This paper describes the jcolibri2 framework for building Case-based reasoning (CBR) systems. \{CBR\} is a mature subfield of artificial intelligence based on the reuse of previous problem solutions–cases–to solve new ones. However, up until now, it lacked a reference toolkit for developing such systems. jcolibri2 aims to become that toolkit and to foster the collaboration among research groups. This software is the result of the experience collected over several years of framework development and evolution. This experience is explained in the paper, together with a description of the specialized \{CBR\} tools that can be implemented with jcolibri: \{CBR\} with textual cases, recommenders, knowledge/data intensive applications or distributed architectures. },
added-at = {2015-01-12T22:33:25.000+0100},
author = {Recio-García, Juan A. and González-Calero, Pedro A. and Díaz-Agudo, Belén},
biburl = {https://www.bibsonomy.org/bibtex/2810efbdc35cd60fb4b1bf3626a1be9d9/porta},
doi = {http://dx.doi.org/10.1016/j.scico.2012.04.002},
interhash = {075688fd893831f0fc856d4a8a8893d8},
intrahash = {810efbdc35cd60fb4b1bf3626a1be9d9},
issn = {0167-6423},
journal = {Science of Computer Programming },
keywords = {based cased framework jcolibri2 reasoning},
note = {Experimental Software and Toolkits (EST 4): A special issue of the Workshop on Academic Software Development Tools and Techniques (WASDeTT-3 2010) },
number = 0,
pages = {126 - 145},
timestamp = {2015-01-12T22:33:25.000+0100},
title = {jcolibri2: A framework for building Case-based reasoning systems },
url = {http://www.sciencedirect.com/science/article/pii/S0167642312000664},
volume = 79,
year = 2014
}