Abstract
Nuances in natural languages can be useful to effectively describe preferences and constraints over a complex and few formalized domain. In this paper we describe the architecture of a query answering system for the domain of motor racing which uses fuzzy logic and domain knowledge in order to carry out searches dealing with vague expression, either as search constraints or as relationship between entities attribute values.
Keywords
- Fuzzy Logic
- Soft Constraint
- Parse Tree
- Query Evaluation
- Query Answering
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Bandini, S., Mereghetti, P., Radaelli, P. (2006). Fuzzy Query Answering in Motor Racing Domain. In: Larsen, H.L., Pasi, G., Ortiz-Arroyo, D., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2006. Lecture Notes in Computer Science(), vol 4027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11766254_25
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DOI: https://doi.org/10.1007/11766254_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34638-8
Online ISBN: 978-3-540-34639-5
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