Allowing users to create similarity relations for their flexible searches over databases

Deedar, Mohammad Halim and Muñoz Hernández, Susana (2019). Allowing users to create similarity relations for their flexible searches over databases. In: "Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019". Lecture Notes in Computer Science (11509). Springer, Suiza, pp. 526-541. ISBN 978-3-030-20915-5. https://doi.org/10.1007/978-3-030-20915-5_47.

Description

Title: Allowing users to create similarity relations for their flexible searches over databases
Author/s:
  • Deedar, Mohammad Halim
  • Muñoz Hernández, Susana
Item Type: Book Section
Title of Book: Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019
Date: May 2019
ISBN: 978-3-030-20915-5
Subjects:
Freetext Keywords: Fuzzy logic, Similarity relation, Expressive searches, Searchengine, Framework
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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).

More information

Item ID: 66190
DC Identifier: https://oa.upm.es/66190/
OAI Identifier: oai:oa.upm.es:66190
DOI: 10.1007/978-3-030-20915-5_47
Official URL: https://link.springer.com/chapter/10.1007%2F978-3-030-20915-5_47
Deposited by: Memoria Investigacion
Deposited on: 02 Mar 2021 08:59
Last Modified: 02 Mar 2021 08:59
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