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Factor Query Language (FQL): A Fundamental Language for the Next Generation of Intelligent Database

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Abstract

Factor space theory was first proposed in the 1980s with the rough set theory. After 30 years of development, factor space theory has established its completed theoretical architecture in mathematics; it has been proved very useful in causal analysis, intelligent reasoning and decision making. This paper proposes a Factor Query Language (FQL)—an SQL-like query language for operating the Factor Pedigree to make the factor space theory easily and widely used. First, the concepts associated with factor and factor space are presented. The factor pedigree which builds by knowledge increase and concept partitioning is presented; an XML specification–based storage method is also proposed for storing the factor pedigree. Next, the FQL (including FQL statements for insert, delete, update and select operations) is proposed. Two kinds of node encoding of factor pedigree strategies (interval-based encoding and prime + binary string-based encoding) are designed. They can facilitate the FQL query performance efficiently. The Factor Base Management System (FBMS) architecture and module functions are also presented.

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Funding

The work is supported by the National Natural Science Foundation of China (no. 61772249), and partly by General Research Project of Liaoning Education Department (no. LJKZ0355).

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Liaoning Technical University, Huludao, China

    **angfu Meng, **g Wen, Jiasheng Shi, Zihan Li & **xia Zhu

  2. Institute of Intelligence Engineering and Math, Liaoning Technical University, Fuxin, China

    Peizhuang Wang

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  1. **angfu Meng
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  2. **g Wen
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  3. Jiasheng Shi
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  4. Zihan Li
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  5. **xia Zhu
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  6. Peizhuang Wang
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Correspondence to **angfu Meng.

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On behalf of all authors, the corresponding author states that there is no conflict of interest.

Author Contributions

**angfu Meng, **g Wen, Jiasheng Shi, and Zihan Li are responsible for FQL and Index strategy design, Peizhuang Wang contributes the Factor Space Theory, and **xia Zhu is responsible for presentation and figures and tables checking.

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Meng, X., Wen, J., Shi, J. et al. Factor Query Language (FQL): A Fundamental Language for the Next Generation of Intelligent Database. Ann. Data. Sci. 9, 539–554 (2022). https://doi.org/10.1007/s40745-022-00391-y

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  • DOI: https://doi.org/10.1007/s40745-022-00391-y

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