Intelligent database interface techniques using semantic coordination

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dc.contributor.authorMohammed, Tareq Abed
dc.contributor.authorAlhayli, Shaymaa
dc.contributor.authorAlbawi, Saad
dc.contributor.authorDuru, Adil Deniz
dc.date.accessioned2021-05-15T12:50:05Z
dc.date.available2021-05-15T12:50:05Z
dc.date.issued2018
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description1st International Scientific Conference of Engineering Sciences - 3rd Scientific Conference of Engineering Science, ISCES 2018 -- 10 January 2018 through 11 January 2018 -- -- 136001
dc.description.abstractMore and more the use of artificial intelligence and data mining techniques established in many fields to solve the problem of classification. This paper consider most new database applications request smart interface to improve effective collaborations in the middle of database and the clients. The most open interfaces for databases must be clever and ready to comprehend characteristic dialect expressions. The overall aim of this study is to look at the importance of using data mining techniques with artificial intelligence in algorithms and applications. We propose a general design for an intelligent database interface. Furthermore, a genuine usage of such a framework which can be connected to any database. One of the fundamental attributes of this interface is space, freedom, which implies that this interface can be utilized with any database. Another aspect of this framework is that it is easy setup. The intelligent interface utilizes semantic coordinating procedure to change natural language query to Structured Query Language (SQL) by depending lexicon and set of creation guidelines. The lexicon comprises semantics sets for tables and sections. The query model is executed and the outcomes are introduced to the client. This interface was initially tested utilizing Supplier-Parts database by using JAVA and the result proves the efficiency of the proposed method in intelligent database system. © 2018 IEEE.en_US
dc.identifier.doi10.1109/ISCES.2018.8340520
dc.identifier.endpage17en_US
dc.identifier.isbn9781538614983
dc.identifier.scopus2-s2.0-85048047906
dc.identifier.scopusqualityN/A
dc.identifier.startpage13en_US
dc.identifier.urihttps://doi.org/10.1109/ISCES.2018.8340520
dc.identifier.urihttps://hdl.handle.net/20.500.12939/1180
dc.identifier.volume2018-Januaryen_US
dc.indekslendigikaynakScopus
dc.institutionauthorMohammed, Tareq Abed
dc.institutionauthorAlhayli, Shaymaa
dc.institutionauthorAlbawi, Saad
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof1st International Scientific Conference of Engineering Sciences - 3rd Scientific Conference of Engineering Science, ISCES 2018 - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData Miningen_US
dc.subjectFlexible Queryingen_US
dc.subjectIntelligent Database Systemen_US
dc.subjectIntelligent Interfaceen_US
dc.subjectIntelligent Layeren_US
dc.subjectStructured Query Languageen_US
dc.titleIntelligent database interface techniques using semantic coordination
dc.typeConference Object

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