Nature of Computation and Communication. International Conference, ICTCC 2014, Ho Chi Minh City, Vietnam, November 24-25, 2014, Revised Selected Papers

Research Article

Updating Relational Databases with Linguistic Data Based on Hedge Algebras

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  • @INPROCEEDINGS{10.1007/978-3-319-15392-6_27,
        author={Le Hung and Vu Loc and Hoang Tung},
        title={Updating Relational Databases with Linguistic Data Based on Hedge Algebras},
        proceedings={Nature of Computation and Communication. International Conference, ICTCC 2014, Ho Chi Minh City, Vietnam, November 24-25, 2014, Revised Selected Papers},
        proceedings_a={ICTCC},
        year={2015},
        month={2},
        keywords={Hedge algebras Relational databases with linguistic data Semantically quantifying mapping Similarity relation of depth k Clear key Mixture key Fuzzy key},
        doi={10.1007/978-3-319-15392-6_27}
    }
    
  • Le Hung
    Vu Loc
    Hoang Tung
    Year: 2015
    Updating Relational Databases with Linguistic Data Based on Hedge Algebras
    ICTCC
    ICST
    DOI: 10.1007/978-3-319-15392-6_27
Le Hung1,*, Vu Loc2,*, Hoang Tung3,*
  • 1: Sai Gon University
  • 2: Gia Dinh University of Information Technology
  • 3: Dong Nai University
*Contact email: lengochungsg291958@gmail.com, vuminhloc@gmail.com, tungaptechbd@gmail.com

Abstract

Relational Databases (DB) with linguistic data based on hedge algebras (HA) were introduced, following this approach, data manipulation (include linguistic data) is simpler and more efficient, practical than the other one. On this basis, in this paper, we will present the update operations on relational databases with linguistic data based on HA. Update operations are built by mean of semantically quantifying mapping (SQM) and similarity relation of depth k, where k is the length of a linguistic value that belongs to the values domain of an attribute.