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Information Journal Paper

Title

Metadata Enrichment for Automatic Data Entry Based on Relational Data Models

Pages

  193-208

Abstract

 The idea of automatic generation of data entry forms based on relational data models is a common and known idea that has been discussed day by day more than before according to the popularity of agile methods as well as improvement of programming tools in software development. One of the requirements of automation methods, whether in commercial products or relevant research projects, could be the concept of metadata as a mediator between database and data entry forms. The metadata usually includes some schemas and constraints of target database, which could be used as a model for automatic generation of data entry forms. However, the most metadata models proposed in relevant researches have simple and undetailed structure. In other words, only the initial requirements of data entry are covered in the proposed metadata. In this study, the main objective is to emphasize the structure of metadata to discuss its enrichment methods to cover more data entry requirements. In this regard, some parts of a metadata model are also presented for objectification of the ideas.

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  • Cite

    APA: Copy

    Dolatkia, Meysam, Adabi, Sahar, & REZAEE, ALI. (2018). Metadata Enrichment for Automatic Data Entry Based on Relational Data Models. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 4(3 (serial 15)), 193-208. SID. https://sid.ir/paper/346307/en

    Vancouver: Copy

    Dolatkia Meysam, Adabi Sahar, REZAEE ALI. Metadata Enrichment for Automatic Data Entry Based on Relational Data Models. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2018;4(3 (serial 15)):193-208. Available from: https://sid.ir/paper/346307/en

    IEEE: Copy

    Meysam Dolatkia, Sahar Adabi, and ALI REZAEE, “Metadata Enrichment for Automatic Data Entry Based on Relational Data Models,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 4, no. 3 (serial 15), pp. 193–208, 2018, [Online]. Available: https://sid.ir/paper/346307/en

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