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Single-source multi-period index system modular construction and entity automatic identification processing method

An index system and automatic identification technology, applied in natural language data processing, word processing, electronic digital data processing, etc., to achieve the effects of explicit hidden attributes, clear data relationships, and rich data relationships

Active Publication Date: 2022-08-09
HEBEI INST OF SCI & TECH INFORMATION HEBEI INST OF SCI & TECH INNOVATION STRATEGY
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Problems solved by technology

[0006] The invention provides a single-source multi-period index system modular construction and entity automatic identification processing method, which is used to solve the problems of index standardization of multi-period form data from the same source and automatic identification of main entities and subsidiary entities. Large-scale data association operation provides feasible solutions

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  • Single-source multi-period index system modular construction and entity automatic identification processing method
  • Single-source multi-period index system modular construction and entity automatic identification processing method
  • Single-source multi-period index system modular construction and entity automatic identification processing method

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Embodiment Construction

[0074] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0075] A method for modular construction of a single-source multi-period indicator system and automatic entity identification, which is applied in the field of big data processing technology, and proposes to divide various entities in the data into main entities and subordinate entities according to their interdependencies; It solves the problems of extraction, calculation and traceability of data implicit relationship, and provides a feasible solution for multi-source and large-scale data association calculation.

[0076] First, the spreadsheet data is organized into a standardized format, and the bibliographic items and numerical items of the main entity M(M) and the subsidiary entity S(M) are extracted respectively; then, based on the sample table documents and other information, the standard indicator system structure is formed EIS;...

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Abstract

The invention discloses a single-source multi-period index system modular construction and entity automatic identification processing method, which comprises the following steps: normalizing spreadsheet data into a standardized format, and respectively extracting information such as bibliography items and numerical items of a main entity M (M) and an affiliated entity S (M); according to information such as sample table documents, a standard index system structure EIS is formed; extracting application scene information of a main entity M (M), an affiliated entity S (M), a standard index system structure EIS, a source library table and the like; granulated and standardized data are formed. The method is applied to the technical field of big data processing, and comprises the following steps of: dividing various entities in data into main entities and auxiliary entities according to a dependency relationship among the entities; the problems of extraction, operation, traceability and the like of the data implicit relationship are solved, and a feasible solution is provided for multi-source and large-scale data association calculation.

Description

technical field [0001] The invention relates to the technical field of big data application, in particular to a processing method for single-source multi-phase table data. Background technique [0002] At present, for the processing and storage methods of tabular data from the same source, usually multiple phases of data are stored and displayed separately, and there is no or no way to fully extract the implicit relationship between the data from tabular data and store it efficiently. In the process of processing, extracting and storing data in the prior art, there are mainly the following problems: [0003] 1) The implicit relationship of the data is not explicit and cannot be extracted effectively. Due to the lack of classification and classification definitions of entities, the implicit relationship between data cannot be accurately expressed, and the relationship between data cannot be effectively extracted. [0004] 2) The data is isolated and the relationship is sing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/28G06F40/18G06F40/186G06F40/295
CPCG06F16/2282G06F16/284G06F40/18G06F40/186G06F40/295
Inventor 王红聂永川吴峰李银生任雁张朝宗毋鹏杰杨扬刘淼张义倩
Owner HEBEI INST OF SCI & TECH INFORMATION HEBEI INST OF SCI & TECH INNOVATION STRATEGY
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