Getting Answers to Fuzzy and Flexible Searches by Easy Modelling of Real-World Knowledge

We present a framework for merging the non-fuzzy real-world information stored in databases with the fuzzy knowledge that we (human beings) have. The interest in this aggregation is providing a (fuzzy and non-fuzzy) search engine able to answer flexible and expressive queries without sacrificing a friendly user interface. We achieve this task by using a new syntax (whose semantics are included too) for modelling the domain knowledge and a flexible and enough general structure to represent any user query. We expect this work contributes to the development of more human-oriented fuzzy search engines.

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