Business Rules Handling in Relational Databases

被引:0
|
作者
Isakh, Rafi Ramadhan [1 ]
Widagdo, Tricya E. [2 ]
机构
[1] Inst Teknol Bandung, Sch Elect Engn & Informat, Bachelor Informat, Bandung, Indonesia
[2] Inst Teknol Bandung, Sch Elect Engn & Informat, Bandung, Indonesia
关键词
business rule; rule modeling; instance checking; first-order logic;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Business rules handling is very essential for organization's operational needs. In order to increase efficiency and optimize operational cost, many organizations try to convert their business process into a computer-based system. Therefore, we need a model of business rule in order to maintain the business rules in the system. The aim of this paper is to capture business rules into the computer-based system, particularly on modeling the business rules in the relational model. First-order logic notation will be applied as an approach to model the business rules. This model will be used to store business rules in the database and also to check the data instances in operational databases. The checking results will be reported in the form of log files. As a result of a data checking process, the system can determine whether a data instance comply with the business rules or not.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Relational geographic databases
    Zhao, DH
    Yu, BG
    Randolph, D
    Hong, BH
    7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS: INFORMATION SYSTEMS, TECHNOLOGIES AND APPLICATIONS: I, 2003, : 95 - 100
  • [42] Mining Relational Databases
    Moal, Frederic
    Turmeaux, Teddy
    Vrain, Christel
    LECTURE NOTES IN COMPUTER SCIENCE <D>, 2000, 1910 : 536 - 541
  • [43] Metaprogramming for relational databases
    Kovse, J
    Weber, C
    Härder, T
    CONCEPTUAL MODELING - ER 2004, PROCEEDINGS, 2004, 3288 : 654 - 667
  • [44] MARC AND RELATIONAL DATABASES
    LLORENS, J
    TRENOR, A
    ELECTRONIC LIBRARY, 1993, 11 (02): : 93 - 97
  • [45] UPDATES IN RELATIONAL DATABASES
    DESAI, BC
    GOYAL, P
    SADRI, F
    AFIPS CONFERENCE PROCEEDINGS, 1986, 55 : 237 - &
  • [46] Tautomer Standardization in Chemical Databases: Deriving Business Rules from Quantum Chemistry
    Baker, Christopher M.
    Kidley, Nathan J.
    Papachristos, Konstantinos
    Hotson, Matthew
    Carson, Rob
    Gravestock, David
    Pouliot, Martin
    Harrison, Jim
    Dowling, Alan
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 60 (08) : 3781 - 3791
  • [47] Blockchain: business’ next new “It” technology—a comparison of blockchain, relational databases, and Google Sheets
    Peter J. McAliney
    Ban Ang
    International Journal of Disclosure and Governance, 2019, 16 : 163 - 173
  • [48] Data Version Control for Relational Databases: Small and Start-up Business Perspective
    Strazdins, Girts
    BALTIC JOURNAL OF MODERN COMPUTING, 2016, 4 (04): : 978 - 993
  • [49] THE NUMBER OF KEYS IN RELATIONAL AND NESTED RELATIONAL DATABASES
    THALHEIM, B
    DISCRETE APPLIED MATHEMATICS, 1992, 40 (02) : 265 - 282
  • [50] Reverse engineering of relational databases to object databases
    Astrova, I
    DATABASES AND INFORMATION SYSTEMS, 2005, 118 : 209 - 223