WO2016132550A1 - 抽出プログラム、抽出装置および抽出方法 - Google Patents
抽出プログラム、抽出装置および抽出方法 Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/12—Use of codes for handling textual entities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/12—Use of codes for handling textual entities
- G06F40/14—Tree-structured documents
- G06F40/143—Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/221—Parsing markup language streams
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/226—Validation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
Definitions
- the present invention relates to an extraction program and the like.
- XBRL eXtensible Business Reporting Language
- XBRL is an XML-based language standardized so that information for various financial reports can be created, distributed, and used.
- An XBRL document is a document described in XBRL, for example, regarding financial accounting reports.
- the quality of XBRL data used for creating an XBRL document is not necessarily high.
- the input XBRL data is verified based on the financial meaning and consistency of each data item in addition to the validity of the syntax and format of XML and XBRL.
- the verification based on the financial meaning and consistency of each data item can be said to be a verification of the position to support the accounting inspection function.
- An XBRL formula is used as a technique for performing such verification.
- the XBRL formula is a description language that defines rules for verifying and calculating the contents of XBRL data. That is, the verification process verifies the input XBRL data based on a plurality of verification rules described in the XBRL formula.
- supervisory / regulatory organizations receive XBRL data from general business corporations and perform audits.
- the XBRL data is periodically input, and the verification process confirms the quality of the XBRL data based on the verification rules described in the XBRL formula. Thereafter, data processing is performed using the confirmed XBRL data, and the audit needs to be completed within a certain period.
- the number of input XBRL data tends to increase. For this reason, the verification processing based on the verification rule described in the XBRL formula tends to take time. In many cases, the range of data items to be verified by individual verification rules is very small compared to all input XBRL data. In each verification rule, it is desirable that XBRL data having data items to be verified by the verification rule is extracted at high speed.
- an object is to quickly extract XBRL data having data items to be verified by a verification rule from input data.
- the extraction program disclosed in the present application when performing extraction processing that combines a plurality of extraction conditions that directly specify elements and aspects of each of the plurality of XBRL files from input data including a plurality of XBRL files.
- the distribution information including the distribution of values for each aspect of the plurality of elements defined in each of the plurality of XBRL files is referred to, and processing for determining the application order of the plurality of extraction conditions is executed.
- XBRL data having data items to be verified by the verification rule can be extracted from input data at high speed.
- FIG. 1 is a functional block diagram illustrating the configuration of the extraction device according to the first embodiment.
- FIG. 2 is a diagram illustrating an example of the structure of the verification rule.
- FIG. 3 is a diagram illustrating an example of types of aspects.
- FIG. 4 is a diagram illustrating an example of an analysis result by the input data analysis unit according to the first embodiment.
- FIG. 5 is a diagram illustrating an example of the extraction condition acquired by the extraction condition acquisition unit according to the first embodiment.
- FIG. 6 is a diagram illustrating a specific example of processing by the narrowing down estimation unit according to the first embodiment.
- FIG. 7 is a diagram illustrating a specific example of processing by the application order determination unit according to the first embodiment.
- FIG. 1 is a functional block diagram illustrating the configuration of the extraction device according to the first embodiment.
- FIG. 2 is a diagram illustrating an example of the structure of the verification rule.
- FIG. 3 is a diagram illustrating an example of types of aspects.
- FIG. 4 is a diagram
- FIG. 8 is a diagram illustrating an example of a flowchart of extraction processing according to the first embodiment.
- FIG. 9 is a diagram illustrating an example of a flowchart of an application order determination process according to the first embodiment.
- FIG. 10 is a functional block diagram illustrating the configuration of the extraction device according to the second embodiment.
- FIG. 11 is a diagram illustrating an example of the data structure of the combination table according to the second embodiment.
- FIG. 12 is a diagram illustrating an example of the extraction condition acquired by the extraction condition acquisition unit according to the second embodiment.
- FIG. 13 is a diagram illustrating a specific example of processing by the narrowing down estimation unit according to the second embodiment.
- FIG. 14 is a diagram illustrating a specific example of processing by the application order determination unit according to the second embodiment.
- FIG. 15A is a diagram (1) illustrating a usage example of the extraction processing according to the second embodiment.
- FIG. 15B is a diagram (2) illustrating a usage example of the extraction processing according to the second embodiment.
- FIG. 15C is a diagram (3) illustrating a usage example of the extraction processing according to the second embodiment.
- FIG. 16 is a diagram illustrating an example of a flowchart of an extraction process according to the second embodiment.
- FIG. 17 is a diagram illustrating an example of a flowchart of an application order determination process according to the second embodiment.
- FIG. 18 is a diagram illustrating an example of a computer that executes an extraction program.
- FIG. 1 is a functional block diagram illustrating the configuration of the extraction device according to the first embodiment.
- the extraction apparatus according to the first embodiment extracts XBRL data having a data item to be verified from a plurality of XBRL data included in the input data 9 using an extraction condition specified in the verification rule.
- the extracted XBRL data is verified using a verification rule.
- XBRL data here is data described in XBRL.
- XBRL is an XML-based language standardized so that information for various financial reports can be created, distributed, and used.
- An example of XBRL data is financial data.
- the XBRL data is composed of values and various information called “aspects” that supplement the values.
- the aspect includes a value element name and various additional information.
- the XBRL data is treated as synonymous with a data item, assuming that the data has a data item and is described in XBRL. The aspect information will be described later.
- the “verification rule” here is a rule for verifying or calculating the contents of XBRL data, and is described using an XBRL formula.
- the XBRL formula is a description language that defines rules for verifying and calculating the contents of XBRL data, and defines verification rules. The structure of the verification rule will be described later.
- the extraction device 1 includes a control unit 10 and a storage unit 20.
- the storage unit 20 corresponds to a storage device such as a nonvolatile semiconductor memory element such as a flash memory (Flash Memory) or an FRAM (registered trademark) (Ferroelectric Random Access Memory).
- the storage unit 20 includes a verification rule 21 and an analysis result 22.
- the verification rule 21 is a rule for performing verification and calculation of the contents of the XBRL data.
- the structure of the verification rule 21 will be described with reference to FIG.
- FIG. 2 is a diagram illustrating an example of the structure of the verification rule.
- variable As shown in FIG. 2, “variable”, “extraction condition for each variable”, “extraction condition common to variables”, and “validation expression” are defined as an example in the verification rule.
- the “variable common extraction condition” is a common extraction condition for variables defined by all “variable individual extraction conditions” in the verification rule.
- “variables” correspond to a1, a2, and a3.
- “Extraction condition for each variable” corresponds to b1, b2, and b3.
- Extraction condition common to variables” corresponds to c0.
- the “verification formula” corresponds to d0.
- the input data 9 including the data items verified by the verification rule is narrowed down from the entire input data 9 by the “variable common extraction condition” c0. Further, in the “variable” a1, the input data 9 including the data item verified by the verification rule is narrowed down from the narrowed down input data 9 by the “variable individual extraction condition” b1, and assigned to the “variable” a1. Similarly, in the “variable” a2, the input data 9 including the data items verified by the verification rule is narrowed down from the narrowed down input data 9 by the “variable individual extraction condition” b2, and assigned to the “variable” a2.
- the input data 9 including the data items to be verified by the verification rule is narrowed down from the narrowed down input data 9 by the “variable individual extraction condition” b3 and assigned to the “variable” a3. Then, it is verified whether the assigned data item matches the “verification formula” d0.
- the aspect that is the first condition designation in the “variable common extraction condition” c0 is “Dimension: CS”, and the value thereof is “x26”.
- the second condition-designated aspect is “Dimension: VG”, and its value is “x80”.
- a third condition-designated aspect is “Dimension: D0”, and its value is “x0”.
- the “Dimension: CS”, “Dimension: VG”, and “Dimension: DO” are aspects.
- the “Member: X26”, “Member: x80”, and “Member: x0” are values for each aspect.
- FIG. 3 is a diagram illustrating an example of types of aspects.
- “Location”, “Concept”,..., “Dimension” as the type of aspect.
- “Location” is an aspect indicating information of a parent element.
- “Concept” is an aspect indicating an element name.
- “Dimension” is an aspect indicating supplementary information representing an axis.
- “Dimension” there is an aspect type for each axis.
- Dimension axes There are two types of Dimension axes, Explicit axes and Typed axes, and an arbitrary number of axes are defined for each axis type.
- the analysis result 22 is a result of analyzing the input data 9. That is, the analysis result 22 is a distribution that represents the frequency of the value of the input data 9 for each value corresponding to the aspect type.
- the analysis result 22 is analyzed in advance by the input data analysis unit 11 and the analysis result is stored in the storage unit 20.
- the control unit 10 has an internal memory for storing programs and control data that define various processing procedures, and executes various processes using these. And the control part 10 respond
- the control unit 10 includes an input data analysis unit 11, an extraction condition acquisition unit 12, a narrowing down estimation unit 13, an application order determination unit 14, and a data extraction unit 15.
- the input data analysis unit 11 analyzes the input data 9. For example, the input data analysis unit 11 calculates the appearance frequency for each value corresponding to each type of aspect from the input data 9. The input data analysis unit 11 stores the calculated appearance frequency in the analysis result 22 of the storage unit 20. Note that the input data analysis unit 11 may analyze all types of aspects, but may also analyze only the types of aspects specified by the verification rule extraction conditions. This is because there is no opportunity to use an aspect type not defined in the verification rule extraction condition as an analysis target.
- FIG. 4 is a diagram illustrating an example of an analysis result by the input data analysis unit according to the first embodiment.
- the analysis result 22 includes an aspect 22a, a value 22b, and distribution information 22c.
- the aspect 22a indicates the type of aspect.
- the value 22b indicates a value corresponding to the type of aspect.
- the distribution information 22c is distribution information representing the frequency of the value 22b in the number of input data 9 items. That is, the distribution information 22c represents the number of cases of the input data 9 having the value 22b of the aspect 22a, that is, the appearance frequency of the value 22b.
- the analysis result when the aspect type is “Dimension” is shown.
- the aspect 22a is “Dimension axis (dim: D1)” and the value 22b is “m: m10”
- the distribution information 22c is “290271”.
- the aspect 22a is “Dimension axis (dim: D1)” and the value 22b is “m: m11”
- the distribution information 22c is “46”.
- the distribution information 22c is “29905”.
- the aspect 22a is “Dimension axis (dim: D3)” and the value 22b is “m: m30”
- the distribution information 22c is “290384”.
- the extraction condition acquisition unit 12 acquires a static extraction condition and a dynamic extraction condition from the extraction condition analysis result.
- the extraction condition analysis result is a result of analyzing the extraction condition from the verification rule, and includes a static extraction condition and a dynamic extraction condition. That is, the extraction condition described in the verification rule is defined without depending on the input data 9, and is therefore analyzed in advance before the input data 9 is input.
- the static extraction condition refers to an extraction condition that directly specifies the type and value of an aspect described in each XBRL data.
- the static extraction condition is a condition in which the condition for collation is determined from the beginning without depending on the XBRL data, and the condition type and aspect value to be extracted can be known in advance. .
- the dynamic extraction condition refers to an extraction condition that dynamically specifies the type and value of an aspect described in each XBRL data.
- the dynamic extraction condition depends on the XBRL data to be extracted, and a condition for collation is determined for each XBRL data, and the type of aspect to be extracted and the value of the aspect can be known in advance. It means no condition.
- the extraction condition acquisition unit 12 acquires a static extraction condition from the extraction condition analysis result. That is, a static extraction condition among the extraction conditions common to variables described in the verification rule is acquired. Further, the extraction condition acquisition unit 12 acquires a dynamic extraction condition from the extraction condition analysis result. That is, a dynamic extraction condition among the extraction conditions common to variables described in the verification rule is acquired.
- the extraction conditions acquired by the extraction condition acquisition unit 12 will be described with reference to FIG.
- FIG. 5 is a diagram illustrating an example of the extraction condition acquired by the extraction condition acquisition unit according to the first embodiment.
- the upper row is an example of a static extraction condition.
- This is a static extraction condition whose aspect type is “Dimension”.
- “Dimension (dim: D1)” is directly set as the type of aspect
- “mem: m10” is directly set as the value. That is, it is a static extraction condition in which the type of aspect to be extracted and the value of the aspect can be known in advance.
- the lower row is an example of dynamic extraction conditions.
- This is an example of a dynamic extraction condition whose aspect type is “Dimension”.
- “Dimension (dim: D1)” is applied as the aspect type
- “mem: m10” is applied as the extraction condition. Is set.
- “Dimension (dim: D2)” is set as the aspect type
- “mem: m20” is applied as the value. That is, a condition for collation for each XBRL data is applied, which is a dynamic extraction condition in which the type of aspect or aspect value to be extracted cannot be known in advance.
- the narrowing down estimation unit 13 acquires the appearance frequency for each static extraction condition acquired by the extraction condition acquisition unit 12 from the analysis result 22. That is, the narrowing-down estimation unit 13 estimates the number of XBRL data that can be narrowed down (extracted) for each static extraction condition (referred to as “the narrowed-down estimated number”). For example, the narrowing down estimation unit 13 extracts an aspect and a value to be collated with the XBRL data from the static extraction condition acquired by the extraction condition acquisition unit 12. The narrowing down estimation unit 13 reads out the distribution information 22c corresponding to the extracted aspect and value from the analysis result 22, and sets the read distribution information 22c in association with the aspect and value as the narrowing estimation number. The smaller the estimated number of refinements, the greater the effect of narrowing the extraction conditions.
- the application order determination unit 14 determines the application order of the plurality of static extraction conditions based on the number of narrowing estimations for each of the plurality of static extraction conditions estimated by the narrowing estimation unit 13. For example, the application order determining unit 14 refers to the estimated number of narrowed extraction conditions of the plurality of static extraction conditions estimated by the narrowing down estimation unit 13 so that the smaller the estimated number of narrowed extraction conditions of the static extraction condition, the faster the order.
- Determine the application order of static extraction conditions That is, the application order determination unit 14 determines the application order of the extraction conditions in descending order of the narrowing effect. That is, the application order determination unit 14 sets the extraction condition with the maximum narrowing effect as the first application order.
- the application order determination unit 14 sets the dynamic extraction condition as, for example, the application order after all static extraction conditions. Just do it. That is, the application order determining unit 14 may determine the order in which the XBRL data is narrowed down to some extent by the static extraction condition and then narrowed down by the dynamic extraction condition. This is because the determination of whether or not the XBRL data matches the dynamic extraction condition needs to be collated with all the XBRL data, so that the load of the determination process becomes heavy. Therefore, the application order determining unit 14 may determine the order in which the XBRL data is narrowed down to some extent and then narrowed down according to more dynamic extraction conditions.
- the data extraction unit 15 applies the extraction condition to the input data 9 using the application order determined by the application order determination unit 14 and extracts XBRL data. Thereby, the data extraction part 15 can extract the XBRL data which has a data item required for a verification rule from input data at high speed.
- FIG. 6 is a diagram illustrating a specific example of processing by the narrowing down estimation unit according to the first embodiment.
- a static extraction condition is acquired by the extraction condition acquisition unit 12.
- the narrowing down estimation unit 13 extracts an aspect and a value to be compared with XBRL data from a static extraction condition.
- the static extraction condition is ⁇ 1>
- “Dimension axis (dim: D1)” as an aspect and “mem: m10” as a value are extracted.
- “Dimension axis (dim: D2)” as an aspect and “mem: m20” as a value are extracted.
- the static extraction condition is ⁇ 3>
- “Dimension axis (dim: D3)” as an aspect and “mem: m30” as a value are extracted.
- the narrowing down estimation unit 13 reads out the distribution information 22c corresponding to the extracted aspect and value from the analysis result 22, and sets the distribution information 22c in association with the aspect and value as the narrowing estimation number.
- “290271” is set as the estimated number of narrowing down in association with “Dimension axis (dim: D1)” and “mem: m10”. It is estimated that the number of “290271” XBRL data is narrowed down.
- “29905” is set as the estimated number of narrowing down in association with “Dimension axis (dim: D2)” and “mem: m20”. It is estimated that “29905” number of XBRL data is narrowed down.
- “290384” is set as the estimated number of narrowing down in association with “Dimension axis (dim: D3)” and “mem: m30”. It is estimated that XBRL data of the number “290384” is narrowed down. As a result, “29905” indicated by the reference symbol e1 is the smallest estimated number of narrowing down, and the narrowing effect of this extraction condition is large.
- FIG. 7 is a diagram illustrating a specific example of processing by the application order determination unit according to the first embodiment.
- the extraction condition acquisition unit 12 acquires the static extraction conditions (static conditions) ⁇ 1>, ⁇ 2>, ⁇ 3>, and the dynamic extraction conditions (dynamic conditions) ⁇ 1 ′. >, ⁇ 2 ′> are acquired. Further, it is assumed that the estimated number of narrowed-down static conditions is set by the narrowed-down estimating unit 13.
- the application order determination unit 14 refers to the estimated number of narrowed-down static conditions, and sets the order of application of the static conditions so that the smaller the estimated number of narrowed-down static conditions, the earlier the order. decide.
- the estimated number of refinements for static condition ⁇ 1> is “290271”
- the estimated number of refinements for static condition ⁇ 2> is “29905”
- the estimated number of refinements for static condition ⁇ 3> is “290384”.
- the application order of the static conditions is determined as ⁇ 2>, ⁇ 1>, and ⁇ 3>.
- the application order determination unit 14 determines the dynamic condition so that, for example, the application order is after all static conditions.
- the application order of dynamic conditions is determined to be ⁇ 1 ′> and ⁇ 2 ′> after all static conditions. Note that the application order of the dynamic conditions may be rearranged or may not be rearranged.
- the total number of input data input to the static extraction condition when the processing by the application order determining unit 14 is applied can be minimized as follows.
- the number of input data to the static condition ⁇ 2> is “290386”
- the number of input data to the static condition ⁇ 1> is “29905”
- the number of input data to the static condition ⁇ 3> is “29905”
- the total number of input data is “350196”. That is, when the number of input data to each static condition is “290386”, the total number of input data is “871158”. Therefore, the total number of input data when the processing by the application order determining unit 14 is applied is 1 ⁇ 2 or less compared to the total number of input data when the number of input data to each static condition is “290386”, respectively. It can be.
- FIG. 8 is a diagram illustrating an example of a flowchart of extraction processing according to the first embodiment. It is assumed that the extraction condition analysis result is stored in the storage unit 20 before the input data 9 is received.
- the input data analysis unit 11 determines whether or not the input data 9 has been received (step S11). When it is determined that the input data 9 has not been received (step S11; No), the input data analysis unit 11 repeats the determination process until the input data 9 is received.
- the input data analysis unit 11 analyzes the received input data 9 (step S12). For example, the input data analysis unit 11 calculates the appearance frequency for each value corresponding to each type of aspect from the input data 9. The input data analysis unit 11 stores the calculated appearance frequency for each value corresponding to the aspect as an analysis result in the analysis result 22 of the storage unit 20 (step S13).
- the extraction condition acquisition unit 12 acquires a static extraction condition and a dynamic extraction condition from the extraction condition analysis result (step S14).
- the narrowing estimation unit 13 estimates the number of narrowed XBRL data for each acquired static extraction condition (step S15). For example, the narrowing down estimation unit 13 extracts an aspect and a value to be compared with the XBRL data from the acquired static extraction condition. The narrowing down estimation unit 13 reads out distribution information 22c corresponding to the extracted aspect and value from the analysis result 22. The narrowing down estimation unit 13 sets the read distribution information 22c as the narrowing down estimation number in association with the aspect and the value.
- the application order determination unit 14 determines the application order of the acquired static and dynamic extraction conditions (step S16). The procedure for determining the application order will be described later.
- the data extraction unit 15 applies the extraction condition to the input data 9 according to the determined application order, and extracts the XBRL data from the input data 9 (step S17). Thereby, the data extraction part 15 can extract the XBRL data which has a data item required for a verification rule from the input data 9 at high speed.
- FIG. 9 is a diagram illustrating an example of a flowchart of an application order determination process according to the first embodiment.
- the application order determination unit 14 determines the application order of the static extraction conditions so that it becomes faster as the estimated number of narrowing is smaller (step S21).
- the application order determining unit 14 refers to the estimated number of narrowed extraction conditions of the plurality of static extraction conditions estimated by the narrowing down estimation unit 13 so that the smaller the estimated number of narrowed extraction conditions of the static extraction condition, the faster the order.
- Determine a static extraction order That is, the application order determination unit 14 determines the application order of the extraction conditions in descending order of the narrowing effect.
- the application order determination unit 14 determines whether or not a dynamic extraction condition has been acquired by the extraction condition acquisition unit 12 (step S22). If it is determined that the dynamic extraction condition has been acquired (step S22; Yes), the application order determination unit 14 determines the application order of the dynamic extraction condition to be after the static extraction condition. (Step S23). Then, the application order determination unit 14 ends the process.
- step S22 when it is determined that the dynamic extraction condition is not selected (step S22; No), the application order determining unit 14 determines the application order of the extraction condition, and thus ends the process.
- the extraction apparatus 1 performs an extraction process in which a plurality of extraction conditions that directly specify the elements and aspects of the plurality of XBRL data are combined from the input data 9 including the plurality of XBRL data.
- the extraction apparatus 1 refers to distribution information including a distribution of values for each aspect of a plurality of elements defined by each of the plurality of XBRL data, and determines an application order of the plurality of extraction conditions.
- the extraction device 1 can extract XBRL data having elements to be verified from the input data 9 at high speed.
- the extraction device 1 determines the order of application of the plurality of extraction conditions so that the extraction condition having the lowest appearance frequency is applied first. According to such a configuration, the extraction apparatus 1 can first extract a minimum number of XBRL data having elements to be verified, and can reduce the load of subsequent extraction processing.
- the extraction apparatus 1 acquires a plurality of extraction conditions that directly specify elements and aspects of a plurality of XBRL data from the verification rule. And the extraction apparatus 1 demonstrated the case where the application order of several extraction conditions was determined with reference to the appearance frequency of the value for every aspect in XBRL data.
- the extraction device 1 may be further in the following cases. That is, the extraction device 1 groups a plurality of extraction conditions common to a plurality of verification rules. Then, the extraction apparatus 1 may refer to the grouped extraction group and the appearance frequency of the value for each aspect in the XBRL data to determine the application order of a plurality of extraction conditions for each verification rule. Furthermore, the extraction apparatus 1 may be a case where the extraction results of the grouped extraction groups are reused by a plurality of verification rules.
- a plurality of extraction conditions common to a plurality of verification rules are grouped for the following reason.
- a plurality of verification rules are executed in formula verification for input data.
- a plurality of extraction conditions are executed for each of a plurality of verification rules.
- the number of refined effects when the common extraction conditions are grouped together and virtually regarded as one extraction condition is the number of extraction conditions that are most effective for narrowing down the extraction conditions included in the common extraction conditions.
- An estimated number may be used. This will be described. That is, if we try to estimate strictly, it is necessary to analyze the frequency distribution of data items with multiple specific aspect values for each extraction condition in the validation rule. If there are many, the analysis processing for each data item corresponding to the variation also takes a load (analysis time, memory usage). If the frequency of appearance of data items for each aspect value is distributed, the analysis load for each data item is light. If one extraction condition in the group that is highly effective for narrowing is found, the effect of the entire verification rule is estimated. be able to.
- the extraction device 1 groups a plurality of extraction conditions common to a plurality of verification rules. Then, the extraction apparatus 1 will be described with reference to the grouped extraction group and the appearance frequency of the value for each aspect in the XBRL data to determine the application order of a plurality of extraction conditions for each verification rule.
- FIG. 10 is a functional block diagram illustrating the configuration of the extraction device according to the second embodiment.
- symbol is shown, and the description of the overlapping structure and operation
- the difference between the first embodiment and the second embodiment is that a rule combination unit 41 and a combination table 31 are added.
- the difference between the first embodiment and the second embodiment is that the extraction condition acquisition unit 12A, the narrowing down estimation unit 13A, the application order determination unit 14A, and the data extraction unit 15A are changed.
- the rule combination unit 41 combines a plurality of verification rules having a plurality of common extraction conditions. Note that the rule combination unit 41 is implemented before the input data 9 is input. For example, the rule combination unit 41 extracts a static extraction condition for each of a plurality of verification rules. The rule combination unit 41 combines a plurality of verification rules having a plurality of common extraction conditions (extraction groups) based on the extracted static extraction conditions for each of the plurality of verification rules. Then, the rule combination unit 41 stores the combined verification rules in the combination table 31 in association with each other.
- FIG. 11 is a diagram illustrating an example of the data structure of the combination table according to the second embodiment.
- the combination table 31 stores a verification rule name 31a, a static extraction condition 31b, and a verification rule name 31c having a common structure in association with each other.
- the verification rule name 31a indicates the name of the verification rule.
- the static extraction condition 31b indicates a static extraction condition included in the verification rule indicated by the verification rule name 31a.
- the verification rule name 31c having a common structure indicates the name of a verification rule having a static extraction condition common to the static extraction condition included in the verification rule indicated by the verification rule name 31a.
- rule 3 has a static extraction condition common to rule 1.
- rule 3 has a static extraction condition common to rule 2.
- the extraction condition acquisition unit 12A acquires a static extraction condition and a dynamic extraction condition from the extraction condition analysis result. Further, the extraction condition acquisition unit 12A selects, for each verification rule, an extraction group obtained by grouping a plurality of common static extraction conditions and a static extraction condition that is not included in the extraction group. For example, the extraction condition acquisition unit 12A performs the following process for each verification rule.
- the extraction condition acquisition unit 12A refers to the combination table 31 and determines whether or not the identified verification rule has a structure in common with the structure of the static extraction condition of other verification rules. In other words, the extraction condition acquisition unit 12A determines whether the structure of the static extraction condition of the specified verification rule includes the structure of the static extraction condition of another verification rule.
- the extraction condition acquisition unit 12A selects another verification rule when it is determined that the identified verification rule has a structure common to the structure of the static extraction condition of another verification rule. Other verification rules correspond to extraction groups.
- the extraction condition acquisition unit 12A selects a static extraction condition that is not included in the static extraction conditions of the common structure among the static extraction conditions of the identified verification rule.
- the narrowing-down estimation unit 13A refers to the group information regarding the extraction group and the analysis result 22, and acquires the extraction group included in the verification rule and the appearance frequency of the static extraction condition not included in the extraction group. That is, for each verification rule, the narrowing down estimation unit 13A estimates the number of narrowed estimated extraction groups and the number of narrowed down estimated extraction conditions not included in the extracted group. For example, the narrowing down estimation unit 13A performs the following process for each verification rule. When another verification rule corresponding to the extraction group is selected by the extraction condition acquisition unit 12A for a specific verification rule, the narrowing-down estimation unit 13A uses the XBRL from the static extraction condition common to the other verification rules. retrieve the aspect and value to match with the data.
- the narrowing down estimation unit 13A reads out the distribution information 22c corresponding to the extracted aspect and value from the analysis result 22, and sets the read out distribution information 22c in association with the extraction condition as the narrowed down estimation number. The smaller the estimated number of refinements, the greater the effect of narrowing the extraction conditions.
- the narrowing down estimation unit 13A sets the number with the smallest number of narrowed down estimations as the estimated number of narrowed down extraction groups. Then, the narrowing down estimation unit 13A reads out the distribution information 22c corresponding to the static extraction condition not included in the extraction group from the analysis result 22, and sets the read out distribution information 22c as the narrowing down estimation number. Note that, when there are a plurality of extraction groups in the identified verification rule, the narrowing down estimation unit 13A performs a narrowing down estimation process for each existing extraction group.
- the application order determination unit 14A determines the application order of the extraction groups and the static extraction conditions not included in the extraction groups, based on the estimated number of refinements estimated by the refinement estimation unit 13A.
- the application order determination unit 14A determines the application order of the static extraction conditions included in the extraction group, based on the estimated number of refinements estimated by the refinement estimation unit 13A. For example, the application order determination unit 14A performs the following processing for each verification rule.
- the application order determination unit 14A refers to the extraction group narrowing estimation number and the static extraction condition narrowing estimation number that is not included in the extraction group, and the extraction group and the extraction group are extracted so that the order becomes earlier as the narrowing estimation number decreases. Determine the application order of static extraction conditions not included in the group.
- the application order determination unit 14A refers to the estimated number of refined static extraction conditions included in the extraction group, and the static extraction condition so that the order is earlier as the estimated number of refined static extraction conditions is smaller. Determine the order of application. Note that, when there are a plurality of extraction groups, the application order determination unit 14A may determine an extraction group based on the estimated number of narrowed down extraction groups. In other words, the application order determination unit 14A may determine the extraction group having the smallest number of narrowing estimations as the extraction group used in the application order determination.
- the data extraction unit 15A applies the extraction condition to the input data by using the application order determined by the application order determination unit 14A for each verification rule, and extracts the XBRL data.
- the data extraction unit 15A extracts the data extraction result already performed as data extraction of this verification rule.
- the result of data extraction can be acquired only when this extraction group is first applied in a certain verification rule. This is because if this extraction group is applied at a place other than the first, the result of data extraction applied in advance cannot be linked.
- FIG. 12 is a diagram illustrating an example of the extraction condition acquired by the extraction condition acquisition unit according to the second embodiment.
- the extraction condition acquisition unit 12A refers to the combination table 31 shown in FIG.
- the extraction condition acquisition unit 12A acquires a static extraction condition and a dynamic extraction condition from the extraction condition analysis result.
- extraction conditions 1 and 2 are acquired as static extraction conditions.
- extraction conditions 1 and 3 are acquired as static extraction conditions.
- extraction conditions 1, extraction conditions 2, and extraction conditions 3 are acquired as static extraction conditions.
- the extraction condition acquisition unit 12A refers to the combination table 31 and determines whether or not the identified verification rule has a structure in common with the structure of the static extraction condition of other verification rules.
- rule 1 does not have a structure in common with the structure of the static extraction condition of other rules.
- rule 2 it is determined that there is no structure in common with the structure of the static extraction conditions of other rules.
- rule 3 it is determined that the structure has the same structure as the static extraction condition of other rules. That is, since the structure of the static extraction condition of rule 3 is extraction condition 1, extraction condition 2, and extraction condition 3, it is common to extraction condition 1 and extraction condition 2 that are the structure of the static extraction condition of rule 1. It is determined that it has a structure. Further, since the structure of the static extraction condition of rule 3 is extraction condition 1, extraction condition 2 and extraction condition 3, it is common to extraction condition 1 and extraction condition 3 which are the structure of the static extraction condition of rule 2. It is determined that it has a structure.
- the extraction condition acquisition unit 12A performs the following processing when it is determined that the identified verification rule has a structure common to the structure of the static extraction condition of other verification rules.
- the extraction condition acquisition unit 12A selects the other verification rule, and selects a static extraction condition that is not included in the static extraction conditions of the common structure among the static extraction conditions of the specified verification rule.
- extraction condition 3 is selected as a static extraction condition that is not included in the static extraction conditions of the common structure among the static extraction conditions of rule 1 and rule 3 as another verification rule.
- the extraction condition 2 is selected as a static extraction condition that is not included in the static extraction conditions of the common structure among the static extraction conditions of rule 2 and rule 3 as other verification rules.
- FIG. 13 is a diagram illustrating a specific example of processing by the narrowing down estimation unit according to the second embodiment.
- the verification rule it is assumed that no extraction group is selected by the extraction condition acquisition unit 12A for the verification rules 1 and 2.
- the verification rule 3 it is assumed that the verification condition 1 is selected as an extraction group by the extraction condition acquisition unit 12A, and the extraction condition 3 is selected as a static extraction condition not included in the extraction group.
- the verification rule 3 it is assumed that the verification condition 2 is selected as an extraction group by the extraction condition acquisition unit 12A, and the extraction condition 2 is selected as a static extraction condition not included in the extraction group.
- the verification rule may be abbreviated as a rule.
- the narrowing estimation unit 13A extracts an aspect and value to be checked against XBRL data from a static extraction condition because no extraction group is selected.
- the extraction condition is 1, “Dimension axis (dim: D1)” as an aspect and “mem: m10” as a value are extracted.
- the extraction condition 2 “Dimension axis (dim: D2)” as an aspect and “mem: m20” as a value are extracted.
- the narrowing estimation unit 13A reads the distribution information 22c corresponding to the extracted aspect and value from the analysis result 22, and sets the distribution information 22c as the narrowing estimation number in association with the extraction condition.
- the number of XBRL data of “190271” associated with the extraction condition 1 is narrowed down.
- XBRL data of the number “29905” associated with the extraction condition 2 is narrowed down.
- the narrowing down estimation unit 13A sets the number “29905” with the smallest narrowing down estimation number as the narrowing down estimation number of Rule 1.
- the narrowing down estimation unit 13A extracts the aspect and value to be compared with the XBRL data from the static extraction condition.
- the extraction condition is 1, “Dimension axis (dim: D1)” as an aspect and “mem: m10” as a value are extracted.
- the extraction condition is 3, “Dimension axis (dim: D3)” as an aspect and “mem: m30” as a value are extracted.
- the narrowing estimation unit 13A reads the distribution information 22c corresponding to the extracted aspect and value from the analysis result 22, and sets the distribution information 22c as the narrowing estimation number in association with the extraction condition.
- the number of XBRL data of “190271” associated with the extraction condition 1 is narrowed down.
- the number of “290384” XBRL data associated with the extraction condition 3 is narrowed down.
- the narrowing down estimation unit 13A sets the number “190271” with the smallest narrowing down estimation number as the narrowing down estimation number of Rule 2.
- the narrowing estimation unit 13A acquires the estimated number of narrowing of rule 1 that has already been estimated since rule 1 is selected as the extraction group.
- “29905” is acquired as the estimated number of narrowing down rules 1.
- the narrowing down estimation unit 13A extracts the aspect and value to be compared with the XBRL data from the extraction condition 3.
- “Dimension axis (dim: D3)” is extracted as an aspect
- “mem: m30” is extracted as a value.
- the narrowing down estimation unit 13A reads the distribution information 22c corresponding to the extracted aspect and value from the analysis result 22, and sets the distribution information 22c in association with the extraction condition as the narrowing estimation number.
- the narrowing down estimation unit 13A acquires the estimated number of narrowed down rules 2 that have already been estimated since rule 2 has been selected as the extraction group.
- “190271” is acquired as the estimated number of narrowing down rules 2.
- the narrowing-down estimation unit 13A extracts the aspect and value to be compared with the XBRL data from the extraction condition 2.
- “Dimension axis (dim: D2)” is extracted as an aspect
- “mem: m20” is extracted as a value.
- the narrowing down estimation unit 13A reads the distribution information 22c corresponding to the extracted aspect and value from the analysis result 22, and sets the distribution information 22c in association with the extraction condition as the narrowing estimation number.
- the estimated number of narrowed down rules 1 is “29905” and the estimated number of narrowed down rules 2 is “190271”, so that the rule 1 indicated by the reference sign f1 by the application order determining unit 14A is used as an extraction group for determining the application order. It is determined.
- FIG. 14 is a diagram illustrating a specific example of processing by the application order determination unit according to the second embodiment. Note that the estimated number of narrowing down for each of the rules 1 to 3 is as shown in FIG. In rule 3, it is assumed that rule 1 is determined as the extraction group used in determining the application order.
- the extraction condition acquisition unit 12A does not select an extraction group. Therefore, the application order determination unit 14A refers to the estimated number of narrowed extraction conditions, and determines the application order of the extraction conditions so that the smaller the estimated number of extraction conditions is, the faster the order is.
- the application order of the extraction conditions is determined as extraction conditions 2 and 1.
- the extraction condition acquisition unit 12A does not select an extraction group. Therefore, the application order determination unit 14A refers to the estimated number of narrowed extraction conditions, and determines the application order of the extraction conditions so that the smaller the estimated number of extraction conditions is, the faster the order is.
- the application order of the extraction conditions is determined as extraction conditions 1 and 3.
- an extraction group is selected by the extraction condition acquisition unit 12A.
- the application order determination unit 14A determines Rule 1 as the extraction group used in the application order determination. Therefore, the application order determination unit 14A refers to the extraction group narrowing estimation number and the static extraction condition narrowing estimation number not included in the extraction group, and the extraction group decreases in order so that the order becomes earlier as the narrowing estimation number decreases. And the order of application of static extraction conditions not included in the extraction group.
- the application order is rule 1 and extraction condition 3. It is determined.
- the application order determination unit 14A refers to the estimated number of narrowed extraction conditions included in the extraction group, and performs static extraction so that the smaller the estimated number of narrowed extraction conditions, the faster the order. Determine the order in which conditions are applied.
- the application order of the extraction conditions included in the rule is Extraction condition 2 and extraction condition 1 are determined.
- FIG. 15A to FIG. 15C are diagrams illustrating a usage example of the extraction processing according to the second embodiment.
- FIG. 15A is a diagram illustrating an example of the combination table 31.
- FIG. 15B is an extraction process related to input data 1
- FIG. 15C is an extraction process related to input data 2 that is updated input data.
- the rule combination unit 41 combines a plurality of verification rules having a plurality of common extraction conditions (extraction groups), and stores the combined verification rules in the combination table 31 in association with each other.
- the combination table 31 when the verification rule name 31a is "Rule 1", “Extraction condition 1, Extraction condition 2, Extraction condition 3" as the static extraction condition 31b, and Verification rule name 31c having a common structure “None” is remembered. That is, there is no rule having a static extraction condition common to rule 1.
- the verification rule name 31a is “rule 2”
- extraction condition 1 extraction condition 3
- extraction condition 4 extraction condition 4
- “none” is stored as the verification rule name 31c having a common structure.
- rule 3 there is no rule having a static extraction condition common to rule 2.
- extraction condition 1, extraction condition 2 is stored as the static extraction condition 31b
- rule 1 is stored as the verification rule name 31c having a common structure. That is, rule 3 has a static extraction condition common to rule 1.
- extraction condition 1, extraction condition 3 is stored as the static extraction condition 31b
- rule 1 is stored as the verification rule name 31c having a common structure.
- rule 4 has a static extraction condition common to rule 1.
- Rule 4 means having a static extraction condition in common with rule 2.
- the distribution information (estimated number) of a plurality of extraction conditions analyzed by the input data analysis unit 11 is as follows. It is assumed that the estimated number of extraction condition 1 is “1000”. It is assumed that the estimated number of extraction condition 2 is “700”. It is assumed that the estimated number of extraction condition 3 is “900”. It is assumed that the estimated number of extraction condition 4 is “800”.
- the extraction condition acquisition unit 12A refers to the combination table 31 and selects rule 3 as an extraction group and extraction condition 3 as an extraction condition not included in the extraction group.
- the extraction condition acquisition unit 12A refers to the combination table 31 and selects rule 4 as an extraction group and extraction condition 4 as an extraction condition not included in the extraction group.
- the extraction condition acquisition unit 12A refers to the combination table 31 and selects the extraction conditions 1 and 2 as the extraction conditions not included in the extraction group because there is no extraction group.
- the extraction condition acquisition unit 12A refers to the combination table 31 and selects the extraction conditions 1 and 3 as the extraction conditions not included in the extraction group because there is no extraction group.
- the narrowing estimation unit 13A has rule 3 as an extraction group, and therefore sets the estimated number of narrowing of extraction conditions 1 and 2 that are common to rule 3 with reference to analysis result 22.
- the narrowing-down estimation unit 13A sets the number with the smallest number of narrowing estimations as the number of narrowing estimations for rule 3.
- the estimated number of refinements in extraction condition 1 is “1000” and the estimated number of refinements in extraction condition 2 is “700”
- the estimated number of refinements in rule 3 is set to “700” (g1).
- the narrowing-down estimation unit 13A refers to the analysis result 22 and sets the estimated narrowing-down number for the extraction condition 3 that is not included in the extraction group.
- the estimated number of narrowing down for extraction condition 3 is set to “900”.
- rule 1 For rule 1, there is rule 4 as an extraction group. Since the number of refinement estimations of the extraction conditions 1 and 3 constituting the extraction condition of the rule 4 are “1000” and “900”, respectively, the number of refinement estimations of the rule 4 is “900” which is the smallest refinement estimation number. " Therefore, rule 1 includes rule 3 and rule 4 as extraction groups, but rule 3 having a small estimated number of narrowing down is determined as the extraction group used in determining the application order.
- the application order determination unit 14A refers to the narrowed estimated number of rule 3 and the narrowed estimated number of extraction condition 3 not included in rule 3, and determines the applied order so that the smaller the narrowed estimated number, the faster the order.
- the application order is determined as rule 3 and extraction condition 3.
- the application order determination unit 14A refers to the estimated number of narrowed extraction conditions included in Rule 3, and determines the application order of the extraction conditions so that the smaller the estimated number of narrowing, the faster the order.
- the application order is determined as extraction conditions 2 and 1.
- the data extraction unit 15A applies the extraction condition to the input data 1 and extracts the XBRL data for the rule 1 using the application order determined by the application order determination unit 14A. At this time, the data extraction unit 15A stores the extraction result of the rule 3 as the extraction group.
- the narrowing estimation unit 13A has rule 4 as an extraction group, and therefore, by referring to the analysis result 22, sets the narrowing estimation number of extraction conditions 1 and 3 that are common to rule 4.
- the narrowing-down estimation unit 13A sets the number with the smallest number of narrowing estimations as the number of narrowing estimations of rule 4.
- the estimated number of refinements in rule 4 is set to “900” (g2).
- the narrowing-down estimation unit 13A refers to the analysis result 22 and sets the estimated narrowing-down number for the extraction condition 4 that is not included in the extraction group.
- the estimated number of narrowing down of extraction condition 4 is set to “800”.
- the application order determining unit 14A refers to the narrowed estimated number of rule 4 and the narrowed estimated number of extraction condition 4 not included in rule 4, and determines the applied order so that the smaller the estimated narrowed number, the faster the order.
- the application order is determined as extraction condition 4 and rule 4.
- the application order determination unit 14A refers to the estimated number of narrowed extraction conditions included in the rule 4, and determines the order in which the extraction conditions are applied so that the smaller the estimated number of narrowing is, the faster the order is.
- the estimated number of refinements in extraction condition 1 is “1000” and the estimated number of refinements in extraction condition 3 is “900”
- the application order is determined as extraction conditions 3 and 1.
- the data extraction unit 15A applies the extraction condition to the input data 1 for the rule 2 and extracts the XBRL data using the application order determined by the application order determination unit 14A. At this time, the data extraction unit 15A stores the extraction result of the rule 4 as the extraction group.
- the narrowing estimation unit 13A has no extraction group, and the extraction condition of rule 3 has already been estimated in rule 1, so the estimation result of rule 1 is used without estimating rule 3.
- the data extraction unit 15A applies the extraction condition to the input data 1 and extracts the XBRL data for the rule 3 using the application order determined by the application order determination unit 14A.
- the data extraction unit 15A stores the application result of the extraction condition of the rule 3 included in the rule 1, and acquires the storage result as the extraction result. That is, in this case, the rule 3 extraction condition application process is performed only once in the rule 3 verification process in the rule 1.
- the narrowing down estimation unit 13A does not have an extraction group, and rule 4 has already been estimated in rule 2, so the estimation result of rule 2 is used without estimating rule 4.
- the data extraction unit 15A applies the extraction condition to the input data 1 for the rule 4 and extracts the XBRL data using the application order determined by the application order determination unit 14A. Note that the data extraction unit 15A does not save the application result because the extraction condition of the rule 4 included in the rule 2 is not applied first even if the rule 2 has already been processed, and the extraction result is not reused.
- the distribution information (estimated number) of a plurality of extraction conditions analyzed by the input data analysis unit 11 in the input data 2 is updated as follows. It is assumed that the estimated number of extraction condition 1 is “1000”. It is assumed that the estimated number of extraction condition 2 is “900”. It is assumed that the estimated number of extraction condition 3 is “700”. It is assumed that the estimated number of extraction condition 4 is “800”. That is, it is assumed that the estimated numbers of the extraction condition 2 and the extraction condition 3 are updated.
- the narrowing estimation unit 13A has rule 3 as an extraction group, and therefore, with reference to the analysis result 22, sets the narrowing estimation number of extraction conditions 1 and 2 that is common to rule 3.
- the narrowing-down estimation unit 13A sets the number with the smallest number of narrowing estimations as the number of narrowing estimations for rule 3.
- the estimated number of refinements in extraction condition 1 is “1000” and the estimated number of refinements in extraction condition 2 is “900”
- the estimated number of refinements in rule 3 is set to “900”.
- the narrowing-down estimation unit 13A refers to the analysis result 22 and sets the estimated narrowing-down number for the extraction condition 3 that is not included in the extraction group.
- the estimated number of narrowing down of extraction condition 3 is set to “700”.
- rule 1 has rule 4 as an extraction group. Since the estimated narrowing numbers of extraction conditions 1 and 3 that are common to rule 4 are “1000” and “700”, respectively, the narrowing estimated number of rule 4 is “700”, which is the smallest number of narrowing estimated numbers. . Further, the narrowing-down estimation unit 13A refers to the analysis result 22 and sets the estimated narrowing-down number for the extraction condition 2 that is not included in the extraction group. Here, the estimated number of narrowing down of extraction condition 2 is set to “900”. Therefore, although there are rule 3 and rule 4 as extraction groups, rule 4 with a small estimated number of narrowing down is determined as the extraction group used in application order determination.
- the application order determination unit 14A refers to the narrowed estimated number of rule 4 and the narrowed estimated number of extraction condition 2 not included in rule 4, and determines the applied order so that the smaller the narrowed estimated number, the faster the order.
- the application order is determined as rule 4 and extraction condition 2.
- the application order determination unit 14A refers to the estimated number of narrowed extraction conditions included in the rule 4, and determines the order in which the extraction conditions are applied so that the smaller the estimated number of narrowing is, the faster the order is.
- the estimated number of refinements in extraction condition 1 is “1000” and the estimated number of refinements in extraction condition 3 is “700”
- the application order is determined as extraction conditions 3 and 1.
- the data extraction unit 15A applies the extraction condition to the input data 2 for the rule 1 and extracts the XBRL data using the application order determined by the application order determination unit 14A. At this time, the data extraction unit 15A stores the extraction result of the rule 4 as the extraction group.
- the narrowing down estimation unit 13A has rule 4 as an extraction group, but rule 4 has already been estimated in rule 1, so the estimation result of rule 1 is used.
- the estimated number of narrowed down rules 4 is “700”.
- the narrowing-down estimation unit 13A refers to the analysis result 22 and sets the estimated narrowing-down number for the extraction condition 4 that is not included in the extraction group.
- the estimated number of narrowing down of extraction condition 4 is set to “800”.
- the application order determining unit 14A refers to the narrowed estimated number of rule 4 and the narrowed estimated number of extraction condition 4 not included in rule 4, and determines the applied order so that the smaller the estimated narrowed number, the faster the order.
- the application order is determined as rule 4 and extraction condition 4.
- the data extraction unit 15A applies the extraction condition to the input data 2 for the rule 2 and extracts the XBRL data using the application order determined by the application order determination unit 14A. At this time, the data extraction unit 15A acquires the extraction result of the rule 4 as the extraction group. Then, the data extraction unit 15A inputs the extraction result of the rule 4, applies the extraction condition 4, and extracts the XBRL data.
- the narrowing estimation unit 13A has no extraction group and has not been estimated by other rules, so the estimated number of extraction conditions 1 and 2 is set with reference to the analysis result 22.
- the narrowing-down estimation unit 13A sets the number with the smallest number of narrowing estimations as the number of narrowing estimations for rule 3.
- the estimated number of refinements in extraction condition 1 is “1000” and the estimated number of refinements in extraction condition 2 is “900”
- the estimated number of refinements in rule 3 is set to “900”.
- the application order determination unit 14A refers to the estimated number of narrowed extraction conditions included in Rule 3, and determines the application order of the extraction conditions so that the smaller the estimated number of narrowing, the faster the order.
- the application order is determined as extraction conditions 2 and 1.
- the data extraction unit 15A applies the extraction condition to the input data 2 for the rule 3 and extracts the XBRL data using the application order determined by the application order determination unit 14A.
- the narrowing down estimation unit 13A has no extraction group, and rule 4 has already been estimated in rule 1, so the estimation result of rule 1 is used without estimating rule 4.
- the data extraction unit 15A applies the extraction condition to the input data 2 and extracts the XBRL data for the rule 4 using the application order determined by the application order determination unit 14A.
- the data extraction unit 15A stores the application result of the extraction condition of the rule 4, and acquires the storage result as the extraction result. That is, in this case, the rule 4 extraction condition application process is performed only once in the rule 4 verification process in the rule 1.
- the extraction apparatus 1 treats the structure of the extraction condition common to a plurality of verification rules as one extraction condition virtually as an extraction group, by reusing the estimation result and the extraction result relating to the extraction group, The application of the entire extraction process can be made efficient. Moreover, since the extraction apparatus 1 determines an extraction group according to the update of distribution information by the update of several XBRL data, application of the extraction conditions according to the characteristic of XBRL data can be optimized.
- FIG. 16 is a diagram illustrating an example of a flowchart of an extraction process according to the second embodiment. It is assumed that the combination table 31 is created by the rule combination unit 41. Further, it is assumed that the extraction condition analysis result is stored in the storage unit 20 before the input data 9 is received.
- the input data analysis unit 11 determines whether or not the input data 9 has been received (step S31). When it is determined that the input data 9 has not been received (step S31; No), the input data analysis unit 11 repeats the determination process until the input data 9 is received.
- the input data analysis unit 11 analyzes the received input data 9 (step S32). For example, the input data analysis unit 11 calculates the appearance frequency for each value corresponding to each type of aspect from the input data 9. The input data analysis unit 11 stores the calculated appearance frequency for each value corresponding to the aspect in the analysis result 22 (step S33).
- the extraction condition acquisition unit 12A acquires a static extraction condition and a dynamic extraction condition from the extraction condition analysis result for each verification rule (step S34).
- the extraction condition acquisition unit 12A refers to the combination table 31 and, for each verification rule, if the verification rule has a structure that is common to the structure of the other verification rule, selects the verification rule, Static extraction conditions not included in the rule are selected (step S35). That is, the extraction condition acquisition unit 12A selects, for each verification rule, an extraction group obtained by grouping a plurality of common static extraction conditions and a static extraction condition that is not included in the extraction group.
- the narrowing down estimation unit 13A estimates the number of narrowed down data of the selected static extraction condition and other selected validation rules for each validation rule (step S36). For example, if another verification rule is selected by the extraction condition acquisition unit 12A, the narrowing-down estimation unit 13A extracts an aspect and a value to be compared with the XBRL data from a static extraction condition common to the other verification rules. . The narrowing down estimation unit 13A reads out the distribution information 22c corresponding to the extracted aspect and value from the analysis result 22, and sets the read out distribution information 22c in association with the extraction condition as the narrowed down estimation number.
- the narrowing down estimation unit 13A sets the number with the smallest number of narrowed down estimations as the estimated number of narrowed down extraction groups. Then, the narrowing down estimation unit 13A reads out the distribution information 22c corresponding to the static extraction condition not included in the extraction group from the analysis result 22, and sets the read out distribution information 22c as the narrowing down estimation number. On the other hand, if no other verification rule is selected by the extraction condition acquisition unit 12A, the narrowing-down estimation unit 13A reads the distribution information 22c corresponding to the static extraction condition, and the read-out distribution information 22c Set as.
- the application order determination unit 14A determines the application order of the extraction conditions for each verification rule (step S37). The procedure for determining the application order will be described later.
- the data extraction unit 15A applies the extraction condition to the input data 9 according to the determined application order, and extracts the XBRL data from the input data 9 (step S38).
- the data extraction unit 15A stores the extraction group application result (extraction result). If the extraction group has already been applied with another verification rule, the data extraction unit 15A acquires the application result of the extraction group as an extraction result because the application result of the extraction group is stored. That is, the data extraction unit 15A reuses the extraction results of the grouped extraction groups with a plurality of verification rules.
- FIG. 17 is a diagram illustrating an example of a flowchart of an application order determination process according to the second embodiment.
- Application order determining unit 14A selects one verification rule (step S41).
- the application order determination unit 14A determines whether or not the selected verification rule has a structure in common with the structure of other verification rules (step S42). That is, the application order determination unit 14A determines whether the selected verification rule includes other verification rules. When it is determined that the selected verification rule has a structure that is common to the structure of other verification rules (step S42; Yes), the application order determination unit 14A determines the static extraction condition and static that are common to other verification rules. The order of application of typical extraction conditions is determined so as to be faster as the estimated number of narrowing is smaller (step S43). Then, the application order determination unit 14A proceeds to Step S45.
- the application order determination unit 14A determines the application order of the static extraction conditions as follows: It decides so that it may become early, so that the number of narrowing estimation is small (step S44). Then, the application order determination unit 14A proceeds to Step S45.
- step S45 the application order determination unit 14A determines whether a dynamic extraction condition is selected by the extraction condition acquisition unit 12A (step S45). When it is determined that the dynamic extraction condition is selected (step S45; Yes), the application order determination unit 14A determines the application order of the dynamic extraction condition so that it follows the static extraction condition. (Step S46). Then, the application order determination unit 14A ends the process.
- step S45 when it is determined that the dynamic extraction condition is not selected (step S45; No), the application order determining unit 14A determines the application order of the extraction condition, and thus ends the process.
- the extraction apparatus 1 refers to the group information and the distribution information regarding the extraction group in which a plurality of extraction conditions common to a plurality of verification rules are grouped.
- the extraction device 1 determines the application order of a plurality of extraction conditions not included in the extraction group and the extraction group based on the estimated number of refinements calculated for each extraction group included in the verification rule.
- the extraction apparatus 1 can be reused once the estimated number of narrowed grouped extraction groups is calculated, so the order of application of the plurality of extraction conditions in each verification rule can be changed. Decisions can be made early. Further, the extraction device 1 can be reused once the extraction process of the XBRL data from the input data 9 is performed once for the grouped extraction groups, so that the XBRL from the input data 9 in each verification rule can be reused. Data can be extracted early.
- the extraction device 1 determines an extraction group used when determining the application order based on the estimated number of refinements. According to such a configuration, the extraction device 1 can efficiently determine the application order of the extraction conditions by determining an extraction group with a small number of narrowing estimations.
- the extraction apparatus 1 determines an extraction group according to the distribution information update by updating a plurality of XBRL data. According to such a configuration, the extraction device 1 can optimize the application of the extraction conditions according to the characteristics of the XBRL data.
- the extraction apparatus 1 is based on the application order determined by the process which determines an application order, The extraction process which combined the several extraction conditions of the extraction group, and the extraction conditions not contained in an extraction group I do.
- the extraction device 1 stores an extraction result extracted using a plurality of extraction conditions of the extraction group. According to such a configuration, the extraction apparatus 1 can reuse the stored extraction result with the verification rule having the same extraction group by storing the extraction result in the extraction group. As a result, the extraction device 1 can perform the extraction process in each verification rule at an early stage.
- the extraction device 1 can be realized by mounting the above-described functions such as the control unit 10 and the storage unit 20 on an information processing apparatus such as a known personal computer or workstation.
- each component of the illustrated extraction device 1 does not necessarily need to be physically configured as illustrated.
- the specific mode of distribution / integration of the extraction device 1 is not limited to that shown in the figure, and all or a part thereof is functionally or physically distributed in arbitrary units according to various loads, usage conditions, and the like. -Can be integrated and configured.
- the narrowing down estimation unit 13 and the application order determination unit 14 may be integrated as one unit.
- the extraction condition acquisition unit 12 may be distributed to a first acquisition unit that acquires a static extraction condition and a second acquisition unit that acquires a dynamic extraction condition.
- the extraction condition acquisition unit 12A includes a first acquisition unit that acquires a static extraction condition, a second acquisition unit that acquires a dynamic extraction condition, and a static extraction that is not included in the extraction group and the extraction group. You may distribute to the 3rd acquisition part which selects conditions. Further, the storage unit 20 such as the verification rule 21 and the analysis result 22 may be connected as an external device of the extraction device 1 via a network.
- FIG. 18 is a diagram illustrating an example of a computer that executes an extraction program.
- the computer 200 includes a CPU 203 that executes various arithmetic processes, an input device 215 that receives input of data from the user, and a display control unit 207 that controls the display device 209.
- the computer 200 also includes a drive device 213 that reads a program or the like from a storage medium, and a communication control unit 217 that exchanges data with another computer via a network.
- the computer 200 also includes a memory 201 that temporarily stores various types of information and an HDD 205.
- the memory 201, CPU 203, HDD 205, display control unit 207, drive device 213, input device 215, and communication control unit 217 are connected by a bus 219.
- the drive device 213 is a device for the removable disk 211, for example.
- the HDD 205 stores an extraction program 205a and extraction processing related information 205b.
- the CPU 203 reads the extraction program 205a, expands it in the memory 201, and executes it as a process. Such a process corresponds to each functional unit of the extraction device 1.
- the extraction process related information 205b corresponds to the verification rule 21, the analysis result 22, and the like.
- the removable disk 211 stores information such as the extraction program 205a.
- the extraction program 205a is not necessarily stored in the HDD 205 from the beginning.
- the program is stored in a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, or an IC card inserted into the computer 200. Then, the computer 200 may read out and execute the extraction program 205a from these.
- a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, or an IC card inserted into the computer 200.
- the computer 200 may read out and execute the extraction program 205a from these.
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Abstract
Description
図1は、実施例1に係る抽出装置の構成を示す機能ブロック図である。実施例1に係る抽出装置は、入力データ9に含まれる複数のXBRLデータより、検証ルールに指定される抽出条件を用いて、検証の対象となるデータ項目を有するXBRLデータを抽出する。この抽出されたXBRLデータが検証ルールを用いて検証される。
次に、実施例1に係る抽出処理の手順について、図8を参照して説明する。図8は、実施例1に係る抽出処理のフローチャートの一例を示す図である。なお、抽出条件解析結果は、入力データ9を受け取る前に、記憶部20に記憶されているものとする。
次に、実施例1に係る適用順序決定処理の手順について、図9を参照して説明する。図9は、実施例1に係る適用順序決定処理のフローチャートの一例を示す図である。
上記実施例1によれば、抽出装置1は、複数のXBRLデータを含む入力データ9より、複数のXBRLデータそれぞれの要素およびアスペクトを直接指定する複数の抽出条件を組み合わせた抽出処理を行う。この際、抽出装置1は、複数のXBRLデータそれぞれで規定された複数の要素の、アスペクトごとの値の分布を含む分布情報を参照し、複数の抽出条件の適用順序を決定する。かかる構成によれば、抽出装置1は、入力データ9から検証の対象となる要素を有するXBRLデータを高速に抽出することができる。
図10は、実施例2に係る抽出装置の構成を示す機能ブロック図である。なお、図1に示す抽出装置と同一の構成については同一符号を示すことで、その重複する構成および動作の説明については省略する。実施例1と実施例2とが異なるところは、ルール組合せ部41および組合せテーブル31を追加した点にある。実施例1と実施例2とが異なるところは、抽出条件取得部12A、絞込み推定部13A、適用順序決定部14Aおよびデータ抽出部15Aを変更した点にある。
次に、実施例2に係る抽出処理の手順について、図16を参照して説明する。図16は、実施例2に係る抽出処理のフローチャートの一例を示す図である。なお、ルール組合せ部41によって組合せテーブル31が作成されたものとする。また、抽出条件解析結果は、入力データ9を受け取る前に、記憶部20に記憶されているものとする。
次に、実施例2に係る適用順序決定処理の手順について、図17を参照して説明する。図17は、実施例2に係る適用順序決定処理のフローチャートの一例を示す図である。
このようにして、上記実施例2では、抽出装置1は、複数の検証ルールで共通する複数の抽出条件をグループ化した抽出グループに関するグループ情報、および、分布情報を参照する。抽出装置1は、検証ルールに含まれる抽出グループごとに算出される絞込み推定数に基づき、抽出グループおよび抽出グループに含まれない複数の抽出条件の適用順序を決定する。かかる構成によれば、抽出装置1は、グループ化した抽出グループの絞込み推定数の算出を一度だけ行えば、再利用することが可能となるので、各検証ルールにおける複数の抽出条件の適用順序の決定を、早期に行うことができる。また、抽出装置1は、グループ化した抽出グループについて、入力データ9からのXBRLデータの抽出処理を一度だけ行えば、再利用することが可能となるので、各検証ルールにおける入力データ9からのXBRLデータの抽出を、早期に行うことができる。
なお、抽出装置1は、既知のパーソナルコンピュータ、ワークステーション等の情報処理装置に、上記した制御部10と、記憶部20等の各機能を搭載することによって実現することができる。
9 入力データ
10 制御部
11 入力データ解析部
12,12A 抽出条件取得部
13,13A 絞込み推定部
14,14A 適用順序決定部
15 データ抽出部
20 記憶部
21 検証ルール
22 解析結果
31 組合せテーブル
41 ルール組合せ部
Claims (8)
- 複数のXBRLファイルを含む入力データより、前記複数のXBRLファイルそれぞれの要素およびアスペクトを直接指定する複数の抽出条件を組み合わせた抽出処理を行う際に、前記複数のXBRLファイルそれぞれで規定された複数の要素の、アスペクトごとの値の分布を含む分布情報を参照し、前記複数の抽出条件の適用順序を決定する、
処理をコンピュータに実行させる抽出プログラム。 - 前記適用順序は、出現頻度が最も低い値となる抽出条件を最初に適用するものであることを特徴とする請求項1に記載の抽出プログラム。
- 前記決定する処理は、複数の抽出処理で共通する複数の抽出条件をグループ化した抽出グループに関するグループ情報、および、前記分布情報を参照し、前記抽出処理に含まれる抽出グループごとに算出される分布推定値に基づき、前記抽出グループおよび前記抽出グループに含まれない前記複数の抽出条件の適用順序を決定する
ことを特徴とする請求項1に記載の抽出プログラム。 - 前記抽出グループが複数存在する場合には、前記適用順序を決定する際に用いられる抽出グループを、前記分布推定値に基づき決定する
ことを特徴とする請求項1に記載の抽出プログラム。 - 前記適用順序を決定する処理によって決定された適用順序に基づいて、前記抽出グループの複数の抽出条件および前記抽出グループに含まれない抽出条件を組み合わせた抽出処理を行い、
前記抽出グループの複数の抽出条件を用いて抽出された抽出結果を保存する
ことを特徴とする請求項3に記載の抽出プログラム。 - 前記複数のXBRLファイルの更新による前記分布情報の更新に応じて、前記抽出グループを決定する
ことを特徴とする請求項4に記載の抽出プログラム。 - 複数のXBRLファイルを含む入力データより、前記複数のXBRLファイルそれぞれの要素およびアスペクトを直接指定する複数の抽出条件を組み合わせた抽出処理を行う際に、前記入力データより、前記複数のXBRLファイルそれぞれで規定された複数の要素の、アスペクトごとの値の分布を含む分布情報を算出する算出部と、
前記算出部によって算出された分布情報を参照し、複数の抽出条件の適用順序を決定する決定部と、
を有することを特徴とする抽出装置。 - コンピュータが、
複数のXBRLファイルを含む入力データより、前記複数のXBRLファイルそれぞれの要素およびアスペクトを直接指定する複数の抽出条件を組み合わせた抽出処理を行う際に、前記複数のXBRLファイルそれぞれで規定された複数の要素の、アスペクトごとの値の分布を含む分布情報を参照し、前記複数の抽出条件の適用順序を決定する、
処理を実行する抽出方法。
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AU2015383376A AU2015383376A1 (en) | 2015-02-20 | 2015-02-20 | Extraction program, extraction device, and extraction method |
JP2017500259A JP6528841B2 (ja) | 2015-02-20 | 2015-02-20 | 抽出プログラム、抽出装置および抽出方法 |
PCT/JP2015/054877 WO2016132550A1 (ja) | 2015-02-20 | 2015-02-20 | 抽出プログラム、抽出装置および抽出方法 |
EP15882652.9A EP3261025A4 (en) | 2015-02-20 | 2015-02-20 | Extraction program, extraction device, and extraction method |
US15/680,771 US10497067B2 (en) | 2015-02-20 | 2017-08-18 | System for perfoming an extraction process on input data containing XBRL files using a combination of extraction criteria |
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