The synergistic application of CBR to IR
Artificial Intelligence Review
Knowledge Management for the Information Professional
Knowledge Management for the Information Professional
Question Answering with Textual CBR
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
What You Saw Is What You Want: Using Cases to Seed Information Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System
The Knowledge Engineering Review
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Integrating both Wikis and XML with case bases to facilitate case base development and maintenance
Expert Systems with Applications: An International Journal
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This paper reports on the results of the first phase of the development of a knowledge management system that provides assistance to reference librarians. This system would employ the parallel use of expert knowledge and case-based retrieval of similar existing question/answer (QA) pairs. CBR is used to store, organize, and represent these QAs in such a way that they could be offered as suggested solutions. The first phase involves testing the possibility of categorizing reference questions in the knowledge base into case-groups and combining attribute matching with text similarity in the similarity measure. Here, CBR is used in a new field which is not domain-specific, and where the level of variability among the potentially high volume of textual cases can be both major and minor. Questions are used in the similarity measure, and the solutions are the paired answers of the retrieved questions.