International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 45 - Issue 10 |
Published: May 2012 |
Authors: Ibrahim Adeyanju |
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Ibrahim Adeyanju . Generating Weather Forecast Texts with Case based Reasoning. International Journal of Computer Applications. 45, 10 (May 2012), 35-40. DOI=10.5120/6819-9176
@article{ 10.5120/6819-9176, author = { Ibrahim Adeyanju }, title = { Generating Weather Forecast Texts with Case based Reasoning }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 45 }, number = { 10 }, pages = { 35-40 }, doi = { 10.5120/6819-9176 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Ibrahim Adeyanju %T Generating Weather Forecast Texts with Case based Reasoning%T %J International Journal of Computer Applications %V 45 %N 10 %P 35-40 %R 10.5120/6819-9176 %I Foundation of Computer Science (FCS), NY, USA
Several techniques have been used to generate weather forecast texts. In this paper, case based reasoning (CBR) is proposed for weather forecast text generation because similar weather conditions occur over time and should have similar forecast texts. CBR-METEO, a system for generating weather forecast texts was developed using a generic framework (jCOLIBRI) which provides modules for the standard components of the CBR architecture. The advantage in a CBR approach is that systems can be built in minimal time with far less human effort after initial consultation with experts. The approach depends heavily on the goodness of the retrieval and revision components of the CBR process. We evaluated CBR-METEO with NIST, an automated metric which has been shown to correlate well with human judgements for this domain. The system shows comparable performance with other NLG systems that perform the same task.