iGQL: An Intelligent NoSQL Graphical Query Language

被引:0
|
作者
Seitanidis, Ilias Nektarios [1 ]
Charitakis, Georgios [1 ]
Keramopoulos, Euclid [1 ]
机构
[1] Alexander Technol Educ Inst Thessaloniki, Thessaloniki, Greece
来源
20TH PAN-HELLENIC CONFERENCE ON INFORMATICS (PCI 2016) | 2016年
关键词
Gesture Technology; Query Languages; GUI; db4o; NoSQL;
D O I
10.1145/3003733.3003758
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The storage of information plays a central role to the design and functionality of applications. Due to the increasing interest and rapid technological growth of the NoSQL Database Systems more developers are using them. It is crucial for data analysts, IT people and even simple users to have access to these data. Our research focuses on the development of a User-Friendly Graphical User Interface for Android smart devices that enables Users without any knowledge on NoSQL or Database Systems to build a query for the NoSQL Database System called Db4o.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] A Non-Deterministic Multiset Query Language
    Zielinski, Bartosz
    FUNDAMENTA INFORMATICAE, 2021, 184 (02) : 141 - 180
  • [42] A model and query language for temporal graph databases
    Debrouvier, Ariel
    Parodi, Eliseo
    Perazzo, Matias
    Soliani, Valeria
    Vaisman, Alejandro
    VLDB JOURNAL, 2021, 30 (05) : 825 - 858
  • [43] Query-based denormalization using hypergraph (QBDNH): a schema transformation model for migrating relational to NoSQL databases
    Neha Bansal
    Shelly Sachdeva
    Lalit K. Awasthi
    Knowledge and Information Systems, 2024, 66 : 681 - 722
  • [44] Query-based denormalization using hypergraph (QBDNH): a schema transformation model for migrating relational to NoSQL databases
    Bansal, Neha
    Sachdeva, Shelly
    Awasthi, Lalit K.
    KNOWLEDGE AND INFORMATION SYSTEMS, 2024, 66 (01) : 681 - 722
  • [45] Using Nosql Databases and Machine Learning for Implementation of Intelligent Decision System in Complex Vision Patalogies
    Eremeev, A. P.
    Ivliev, S. A.
    Vagin, V. N.
    PROCEEDINGS OF THE 2018 3RD RUSSIAN-PACIFIC CONFERENCE ON COMPUTER TECHNOLOGY AND APPLICATIONS (RPC), 2018,
  • [46] Mongo2SPARQL: Automatic and Semantic Query Conversion of MongoDB Query Language to SPARQL
    Soussi, Nassima
    Boumlik, Abdeljalil
    Bahaj, Mohamed
    2017 INTELLIGENT SYSTEMS AND COMPUTER VISION (ISCV), 2017,
  • [47] Δ: Set-theoretic query language capturing LOGSPACE
    Alexander Leontjev
    Vladimir Sazonov
    Annals of Mathematics and Artificial Intelligence, 2001, 33 : 309 - 345
  • [48] Δ:: Set-theoretic query language capturing LOGSPACE
    Leontjev, A
    Sazonov, V
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2001, 33 (2-4) : 309 - 345
  • [49] SociaLite: An Efficient Graph Query Language Based on Datalog
    Seo, Jiwon
    Guo, Stephen
    Lam, Monica S.
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2015, 27 (07) : 1824 - 1837
  • [50] Type-safe versioned object query language
    Machado, Rodrigo
    Moreira, Alvaro Freitas
    Galante, Renata de Matos
    Moro, Mirella Moura
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2006, 12 (07) : 938 - 957