Natural Language queries in CBR systems

Case Based Reasoning (CBR) systems reason by similarity between current unsolved problems and past solved problems. In such systems interaction between users and the reasoning module is very important to identify the specific aspects of the query problem. In this paper we describe a textual interface module included into jCOLIBRI, a Java framework to design CBR systems. To be able to "understand" the query, the module processes the text using information extraction, analysis and reasoning techniques, based on external resources like domain ontologies and other linguistic resources such as Wordnet.