TY - GEN
T1 - Extending the JColibri open source architecture for managing high-dimensional data and large case bases
AU - Bottrighi, A.
AU - Leonardi, G.
AU - Montani, S.
AU - Portinale, L.
PY - 2009
Y1 - 2009
N2 - CBR systems designers and developers' research can benefit from the availability of existing platforms, able to provide software design and implementation assistance. The JColibri platform [26], realized and maintained by the University of Madrid, is one of the most well known among such tools. In this work, we describe a couple of extensions we have provided to the core JColibri open source software. In particular, our extensions are meant to optimize case retrieval performances, in data-rich applications. Specifically, we focused our attention on treating (i) large case bases, in which retrieval time may become unacceptable, and (ii) cases with high-dimensional features - namely time series features - on which proper case representation and retrieval solutions need to be studied. The implemented code has been preliminarly tested, and it is now ready to be integrated with the JColibri code, and made available to the CBR research community. Additional extensions, always dealing with retrieval optimization, are foreseen as our future work.
AB - CBR systems designers and developers' research can benefit from the availability of existing platforms, able to provide software design and implementation assistance. The JColibri platform [26], realized and maintained by the University of Madrid, is one of the most well known among such tools. In this work, we describe a couple of extensions we have provided to the core JColibri open source software. In particular, our extensions are meant to optimize case retrieval performances, in data-rich applications. Specifically, we focused our attention on treating (i) large case bases, in which retrieval time may become unacceptable, and (ii) cases with high-dimensional features - namely time series features - on which proper case representation and retrieval solutions need to be studied. The implemented code has been preliminarly tested, and it is now ready to be integrated with the JColibri code, and made available to the CBR research community. Additional extensions, always dealing with retrieval optimization, are foreseen as our future work.
UR - http://www.scopus.com/inward/record.url?scp=77949500212&partnerID=8YFLogxK
U2 - 10.1109/ICTAI.2009.57
DO - 10.1109/ICTAI.2009.57
M3 - Conference contribution
AN - SCOPUS:77949500212
SN - 9781424456192
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 269
EP - 275
BT - ICTAI 2009 - 21st IEEE International Conference on Tools with Artificial Intelligence
T2 - 21st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2009
Y2 - 2 November 2009 through 5 November 2009
ER -