Memorias de investigación
Communications at congresses:
Allowing Users to Create Similarity Relations for Their Flexible Searches Over Databases (CORE: C)
Year:2019

Research Areas
  • Engineering

Information
Abstract
A bi-valued logic is not enough to make an intelligent search engine to give us the result for the queries like ?I am looking for a cheap restaurant, Mediterranean food or similar type.? With the integration of Fuzzy Logic and Logic Programming, we were able to model and pose flexible queries over databases. Therefore, we present a framework that allows users to pose their expressive queries based on defining similar relation criteria over various modern and conventional data formats such as JSON, SQL, CSV, XLS, and XLSX. The interest is in, for example, obtaining ?drama movie? when asking for ?romantic movie? (only if the similarity relation between drama and romantic movie is explicitly defined in the configuration file). The uses of similarity relation between values allow us to obtain more answers apart from the identical one. The searches that use two or more criteria are much more expressive and accurate. This framework provides the facility to define, modify and remove similarity relations from a user-friendly interface (without the need to be concern about the low-level syntax of the similarity criteria).
International
Si
Congress
International Conference on Artificial Intelligence and Soft Computing
960
Place
Poland
Reviewers
Si
ISBN/ISSN
978-3-030-20915-5
10.1007/978-3-030-20915-5_47
Start Date
16/06/2019
End Date
20/06/2019
From page
526
To page
541
ICAISC 2019: International Conference on Artificial Intelligence and Soft Computing
Participants

Research Group, Departaments and Institutes related
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software