UFleSe: User-Friendly Parametric Framework for Expressive Flexible Searches

IF 1.7 Q2 Engineering
Mohammad Halim Deedar, S. Muñoz-Hernández
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引用次数: 1

Abstract

We present a parametric framework (UFleSe) with a user-friendly interface having a search engine that enables regular users (without the need of neither technical nor theoretical knowledge) to define their fuzzy concepts, rules, similarity relations, synonyms, antonyms, and personalizing their definitions for different users, and to link them with the crisp database fields for performing flexible, expressive queries in a language close to natural language. It works over multiple modern and conventional data formats, such as JSON, SQL, Prolog, CSV, XLS, and XLSX. We present the syntax involved in the construction of our various flexible searching criteria and their personalizations. Furthermore, we present the architecture of this novel system that combines fuzzy, crisp data, and similarity relations in its queries to return constructive answers ordered by a degree of searching criteria satisfaction (truth-value between 0 and 1). Finally, we include a comparative analysis of different fuzzy querying systems here, and we provide various experiments, to show the system behavior, performance, efficiency, and scalability as well.
用户友好的参数框架表达灵活的搜索
我们提出了一个参数化框架(UFleSe),它具有用户友好的界面,具有搜索引擎,使普通用户(不需要技术或理论知识)能够定义他们的模糊概念、规则、相似关系、同义词、反义词,并为不同的用户个性化他们的定义,并将它们与清晰的数据库字段链接起来,以便在接近自然语言的语言中执行灵活、富有表现力的查询。它适用于多种现代和传统的数据格式,如JSON、SQL、Prolog、CSV、XLS和XLSX。我们介绍了构建各种灵活的搜索条件及其个性化所涉及的语法。此外,我们提出了这个新系统的架构,它在查询中结合了模糊、清晰的数据和相似关系,以返回按搜索标准满意度排序的建设性答案(真值在0到1之间)。最后,我们在这里包括对不同模糊查询系统的比较分析,我们提供了各种实验,以展示系统的行为、性能、效率和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
27
期刊介绍: The Canadian Journal of Electrical and Computer Engineering (ISSN-0840-8688), issued quarterly, has been publishing high-quality refereed scientific papers in all areas of electrical and computer engineering since 1976
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