Research on an Automatic Table Generation Model Based on Entity Attribute Relations
DOI: 10.23977/acss.2024.080307 | Downloads: 6 | Views: 172
Author(s)
Maolong Teng 1, Zhinan Lin 2, Chaoyue Liu 3
Affiliation(s)
1 Hunan University of Science and Technology, Xiangtan, China
2 Hunan Vocational Institute of Technology, Xiangtan, China
3 Guizhou Provincial Transportation Planning Survey and Design Research Institute Co., Ltd., Guiyang, China
Corresponding Author
Zhinan LinABSTRACT
Aiming at the problem that existing automatic table generation technologies cannot dynamically adjust the structure and content of tables based on real-time changes in data or user needs, a universal table model for automatic table generation is proposed. This model takes entity attribute relationships as the design core and uses a tree structure to describe the structure of tables and the relationships between cells. This tree structure is defined as a multi-dimensional relationship oriented table structure tree, emphasizing the guiding role of entity attribute relationships in the table generation process, aiming to improve the efficiency and accuracy of table automatic generation. After application testing and experimental comparison in actual projects, it has been proven that the model has good universality and practical value.
KEYWORDS
Universal table model, Entity attribute connections, Automatic table generation, Tree structureCITE THIS PAPER
Maolong Teng, Zhinan Lin, Chaoyue Liu, Research on an Automatic Table Generation Model Based on Entity Attribute Relations. Advances in Computer, Signals and Systems (2024) Vol. 8: 51-58. DOI: http://dx.doi.org/10.23977/acss.2024.080307.
REFERENCES
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[3] Zhang S, Balog K. On-the-fly table generation[C]//The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. 2018: 595-604.
[4] Christophides V, Efthymiou V, Palpanas T, et al. An overview of end-to-end entity resolution for big data[J]. ACM Computing Surveys (CSUR), 2020, 53(6): 1-42.
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