WO2016009636A1 - Account processing device, account processing method, and account processing program - Google Patents
Account processing device, account processing method, and account processing program Download PDFInfo
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- G—PHYSICS
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- 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
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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
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- G—PHYSICS
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- 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
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- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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Definitions
- the present invention relates to an accounting apparatus, accounting method, and accounting program, and more particularly to an accounting device, accounting method, and accounting program for performing accounting processing by cloud computing.
- Accrual basis is the principle that an accrual basis should be recorded when the fact of income or expense occurs, regardless of the actual income and expenditure of cash. This is a concept opposite to cash basis, which recognizes revenue and expenses at the time of cash delivery.
- Each company calculates income and expenditure for a certain period, performs a settlement to calculate profit or loss, and financial statements such as balance sheet (B / S) and income statement (P / L) prepared in the settlement Is stipulated to be announced based on the provisions of the Companies Act.
- financial instruments trading law application companies have strong time constraints on the settlement of accounts, and quarterly settlement is required for listed companies, and quarterly settlement or semiannual interim settlement is required even for unlisted companies. The need for settlement is the same in other countries.
- journal data For example, in a large company, there is an in-house system for accounting processing, and the person in charge of each department conducts daily work as a journal data by registering the transactions that have occurred into account items. Accumulating financial journals (financial statements) in each fiscal period is possible by accumulating the journal data thus created and creating journal data and general ledger data. Commercial accounting software is often used to create financial statements such as balance sheets and profit and loss statements from the generated general ledger data.
- the present invention has been made in view of such problems, and the purpose of the present invention is simple and easy for businesses such as small and medium-sized enterprises, individual business owners, etc., who are loosely timed to follow accrual principles.
- An object is to provide an inexpensive accounting processing apparatus, accounting processing method, and accounting processing program.
- an accounting processing apparatus for performing accounting processing by cloud computing, comprising a web server that provides cloud computing to a user, The web server identifies the web detail data for each transaction, segments each transaction into keywords, and describes the frequency of appearance of one or more account items associated with each keyword.
- the journal data is automatically entered into a specific account, and journal data including at least the date, transaction contents, amount, and account is created.
- the created journal data is stored on a computer that the user accesses the web server. It is transmitted and displayed as a journal processing screen on the web browser of the computer.
- the second aspect of the present invention is characterized in that, in the first aspect, the frequency of appearance of one or more account items associated with each keyword is normalized for each keyword.
- the journal sums up the appearance frequency of each keyword as a score for each account item and automatically sets the highest score account item. It is characterized by journalizing.
- the fourth aspect of the present invention is characterized in that in any of the first to third aspects, a keyword consisting of only one symbol or number is not considered in the total score.
- the fifth aspect of the present invention is characterized in that, in any of the first to fourth aspects, the journal processing screen has a menu for changing the account item.
- the description of the transaction content and the corrected account item is stored as a user rule for each user in the storage unit of the transaction processing apparatus.
- the seventh aspect of the present invention is characterized in that, in the sixth aspect, the appearance frequency is determined based on user rules of a plurality of users stored in the storage unit.
- the appearance frequency is obtained by dividing the description of the transaction content included in each user rule into keywords, and counting the number of appearances of the corrected account item for each keyword. It is characterized by being determined by incrementing.
- a ninth aspect of the present invention is characterized in that, in any of the first to eighth aspects, the keyword is a morpheme.
- the tenth aspect of the present invention is characterized in that, in the ninth aspect, segmentation into morphemes is performed without requiring domain processing.
- An eleventh aspect of the present invention is an accounting processing method for performing accounting processing by cloud computing provided by a web server, wherein the web server identifies web detailed data for each transaction, and the web The server automatically divides each transaction into a specific account by segmenting the transaction description of each transaction into keywords and referring to the frequency of occurrence of one or more account items associated with each keyword. Journalizing step, and the web server creating journal data including at least a date, transaction content, amount, and account item, and the created journal data is sent to a computer from which a user accesses the web server. It is transmitted and displayed as a journal processing screen on the web browser of the computer.
- a twelfth aspect of the present invention is an accounting processing program for performing accounting processing by cloud computing provided by a web server, the step of identifying web detailed data for each transaction in the web server, Categorizing the description of transaction details of each transaction into keywords, referring to the frequency of appearance of one or more account items associated with each keyword, and automatically journaling to specific account items; Creating journal data including at least a date, transaction content, amount, and account, and the created journal data is transmitted to a computer where a user accesses the web server, and the web browser of the computer Accounting processing program for executing a method characterized by being displayed as a journal processing screen A.
- each transaction identified from the Web detailed data is segmented into keywords by describing the transaction contents of each transaction, and the frequency of appearance of one or more account items associated with each keyword is referred to.
- a simple and inexpensive accounting processing device, accounting processing method and accounting processing program are provided to businesses whose time constraints to follow the accrual principle are moderate. can do.
- journal data is created by analyzing journal details (online / web statement data) and performing journal processing after the fact, not on a daily basis.
- FIG. 1 shows an accounting processing apparatus according to an embodiment of the present invention.
- the accounting processing apparatus 100 includes a web server 110 that provides users with cloud computing, a database 120 connected to the web server 110 using virtual private network (VPN) technology, and a scraping server 130 connected to the database 120 using VPN technology.
- VPN virtual private network
- the user accesses the URL of the web server 110 using the web browser of the computer 140 such as a PC, a smartphone, or a tablet.
- the web server 110 identifies the captured web detail data for each transaction, and automatically translates each transaction into a specific account item based on a description of the transaction contents of each transaction. Journal entries such as income when the amount is positive and expenditure when the amount is negative are possible.
- the web server 110 divides the description of the transaction contents into morphemes and refers to the occurrence rate of one or a plurality of account items associated with each morpheme. Guess the account represented by.
- the created journal data includes, for example, at least a date, transaction contents, an amount, and an account item, and accumulation of such journal data becomes journal data.
- morpheme means the smallest linguistic unit having meaning, and will be described below using the term. However, in the present invention, the term is not necessarily the smallest linguistic unit, but is a keyword in a wider linguistic unit. The segmentation may be performed.
- the appearance frequency and journal data may be stored in the web server 110 or may be stored in the database 120.
- the web server 110 transmits an HTML program including the created journal data to the computer 140, which is displayed as a journal processing screen by the web browser of the computer 140 and presented to the user.
- Each function of the present invention can be implemented by Ruby and MySQL, and a part thereof can be implemented by JavaScript (registered trademark) in HTML (for example, a combo box 301 in FIG. 3 described later). That is, the web server 110 operates as a means for executing each function by executing a program described in a language such as Ruby, and may be configured by a single server or a plurality of servers. .
- FIG. 2 shows a journalizing processing screen according to an embodiment of the present invention.
- the captured Web detailed data is identified for each transaction, and for each transaction, a date column 201 (“2014/6/22”), an amount column 202 (“-1,530”), and a summary column 203 (“GU ( Registered trademark) ”), account item column 204 (“ consumables expenses ”), a summary tag column (not shown) that provides a separate category from the account item, and the like.
- a web specification data acquisition unit that automatically acquires from the Internet is further provided. be able to.
- a scraping server 130 connected to the database 120 by the VPN technology is arranged, a user registers, and an account number and a password stored in the web server 110 or the database 120 are read out.
- various types of web detail data can be acquired from a credit card company 152, a settlement company (eg, electronic money Suica (registered trademark)) (not shown), or the like.
- the acquired web detail data is stored in the web server 110 or the database 120 and is read out during the journalizing process.
- the web detailed data may be acquired by photographing a receipt or the like with a camera and transmitting it to the web server 110.
- a receipt or the like when it is implemented as an application for a mobile terminal such as a smartphone or a tablet, when a receipt or the like is read into the application, it can be automatically taken into the user's account.
- an API for capturing web detailed data can also be provided.
- electronic data such as receipts may be received by e-mail. In this case, if the received address includes an account associated with the user's account, the electronic data such as the receipt is analyzed. It is also possible to import as web detailed data. Electronic data includes PDF, image files, text files, and the like.
- the web server 110 may receive the data and analyze it with a mail server (not shown) instead of receiving it, and transmit the obtained web detail data to the web server 110.
- a mail server (not shown) instead of receiving it, and transmit the obtained web detail data to the web server 110.
- a liability For example, when an invoice is received, it is converted into a liability by taking it digitalized by camera shooting and OCR, journalizing it as a liability, and registering it as a reminder.
- the payment it is possible to manage which payment schedule is paid by matching between the bank statement and the payment schedule.
- a plurality of types of web specification data provided by a plurality of financial institutions, credit card companies, settlement companies, etc. may be captured by the web server 110 and displayed on the transaction processing screen 200 for each type. You may display in order of a date, as shown in FIG.
- journal data automatically created by the web server 110 may be stored as it is without pressing the button, and only necessary corrections may be performed on the transaction processing screen 200.
- Fig. 3 shows the journal processing screen when correcting automatically classified account items.
- the journal entry processing screen 200 displays a combo box 301 such as a pull-down menu showing other options.
- a combo box 301 such as a pull-down menu showing other options.
- help 302 By adding help 302 to each option, it is possible to easily select an appropriate account item without knowledge of accounting.
- the combo box 301 is nested interactively as shown, ie, the lower choices are shown according to the user's choice, the user can be sensibly navigated to the appropriate account. Can be put on.
- the corrected result is stored in the web server 110 or the database 120 as a user rule for each user, and the account item corrected for the transaction content can be displayed from the next time.
- the correction results accumulated in this manner are used to generate a learned database (learned DB) by machine learning of the appearance frequency of one or more account items associated with each morpheme, as will be described later. This is possible because it is a cloud technology, not a standalone application.
- the description tag field, etc. can be automatically assigned and displayed as well as the account item.
- the combo box such as a pull-down menu is displayed and corrected in the same way as the account item field 204. Results can be saved and used.
- the journal data created as described above can be displayed as a list on the web browser of the computer 140 as shown in FIG.
- the inference / inference of the account item represented by the description of the transaction refers to the appearance frequency of one or more account items associated with each morpheme by segmenting the description of the transaction content into morphemes.
- the account item represented by the transaction description is estimated.
- the transaction description is “Sompo Japan Insurance (registered trademark) premium (Internet)”.
- this description is divided into morphemes, it is divided into five categories: “damage”, “insurance”, “Japan”, “insurance premium”, and “Internet”.
- the web server 110 reads the appearance frequency of one or more account items associated with the morpheme from the learned database.
- the appearance frequency of each morpheme is as follows. For simplicity, those with an appearance probability of less than 0.01 are omitted.
- the appearance frequency of each morpheme is the appearance probability normalized so that the sum is 1.0. If normalization is performed, the accuracy can be improved. For example, if the description “ ⁇ ⁇ Pharmacy Kanda Station East Exit Store” appears in the summary column 203, adding the number of appearances without normalization, the “station” is better than “ ⁇ ⁇ ” or “pharmacy”. Since the number of times included in the Web detailed data is overwhelmingly large, “travel expense transportation cost”, which is an account item estimated from the morpheme “station”, is assigned. The estimation result is pulled by the morpheme that is included in the web specification data a large number of times.
- the web server 110 sums up the appearance probabilities of each morpheme as a score for each account item. As a result of the calculation, the account item with the highest score is assigned as the guess result.
- “Japan” is the account of “Purchase”
- “Internet” is the account of “Insurance”, which is the highest score from the total score. This will be assigned.
- automatic journals can be made for descriptions of unknown transaction details. Even when processing is performed for the first time using the appearance frequency generated in advance for each morpheme included in the description of the transaction content, it can be classified into the most probable account items. For example, when a new non-life insurance company called “XYZ Insurance” is established and this appears for the first time in the description of transaction details, the web server 110 has not processed it. However, the web server 110 divides into “XYZ” and “Non-life insurance”. For example, when “XYZ” has no registration of appearance frequency in the learned database and “Non-life” has the following registration, the estimation result As “insurance premium” can be assigned. The left side is the account item, and the right side is the normalized appearance frequency, that is, the appearance probability.
- the account item of “miscellaneous expenses” can be similarly estimated for any notation. For example, even if “Seven-Eleven” appears in the transaction description, it is segmented into “Seven” and “Eleven”. For each morpheme, the following occurrence frequency is obtained from the learned database. The Note that the appearance probability is less than 0.05.
- the correspondence between the description of the transaction content and the corrected account item is changed according to the user rule for each user. Is stored in the storage unit of the accounting processing apparatus 100.
- the description of the transaction content included in each user rule is segmented into keywords, and for each keyword, the count of the number of occurrences of the corrected account item is incremented, whereby the frequency of appearance is changed to a plurality of users. Can be determined based on user rules.
- the following table shows the correction results by multiple users.
- each transaction content is morphologically analyzed and the appearance frequency of each morpheme is calculated as follows.
- the appearance probability is normalized assuming that only the account items listed in the table below are associated with each morpheme.
- the account items “communication fee”, “insurance fee”, and “newspaper book fee” are associated with the morpheme “Internet”, and the appearance frequencies thereof are 0.60, 0.35, and 0.05, respectively. .
- the user rule used for generating the learned database may be a user rule that is currently used, may include a log, or may be a log only.
- the burden of database construction / maintenance can be reduced.
- configuring the learned database based only on the currently used user rules it is possible to present inference results reflecting in real time what kind of matching the surrounding users are performing.
- One advantage of reflecting in real time is that once a user submits a journal entry, the updated inference algorithm is applied to all users even for completely new transactions. Above, no maintenance is required, and as a user experience, automatic journaling accuracy can be improved.
- users can be segmented to improve the accuracy of the learned database.
- segmenting according to the type of business, individual / corporation, etc. the same keyword can be appropriately sorted according to the segment. For example, when the description “Ox wholesaler” appears in the summary column 203, it may be a case where a corporation such as a retail business corresponds to “purchase” and a private business owner corresponds to “consumables”.
- segmentation according to the money amount column 202 can be considered. For example, “Yodobashi Camera” of less than 100,000 yen may be “consumables” and 100,000 yen or more may be “fixed assets”.
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Abstract
Description
本発明は、デイリーベースではなく、事後的に、ウェブ明細データ(online/web statement data)を分析して仕訳処理を行って仕訳帳データを作成する。 (Outline of the present invention)
In the present invention, journal data is created by analyzing journal details (online / web statement data) and performing journal processing after the fact, not on a daily basis.
本発明において、取引内容の記載が表す勘定科目の推測・推論(inference)は、取引内容の記載を形態素に分節し、各形態素に対応づけられた1又は複数の勘定科目の出現頻度を参照して、当該取引内容の記載が表す勘定科目を推測する。 (Details of journal processing)
In the present invention, the inference / inference of the account item represented by the description of the transaction refers to the appearance frequency of one or more account items associated with each morpheme by segmenting the description of the transaction content into morphemes. The account item represented by the transaction description is estimated.
形態素「インターネット」を例として、ラーンド・データベースの生成につき説明する。 (Learn database details)
Taking the morpheme “Internet” as an example, generation of a learned database will be described.
110 ウェブサーバ
120 データベース
130 スクレイピングサーバ
140 コンピュータ
151 金融機関
152 クレジットカード会社
200 取引処理画面
201 日付欄
202 金額欄
203 概要欄
204 勘定科目欄
301 コンボボックス
302 ヘルプ DESCRIPTION OF
Claims (12)
- クラウドコンピューティングによる会計処理を行うための会計処理装置であって、
ユーザーにクラウドコンピューティングを提供するウェブサーバを備え、前記ウェブサーバは、
ウェブ明細データを取引ごとに識別し、
各取引を、前記各取引の取引内容の記載をキーワードに分節し、各キーワードに対応づけられた1又は複数の勘定科目の出現頻度を参照して、特定の勘定科目に自動的に仕訳し、
日付、取引内容、金額及び勘定科目を少なくとも含む仕訳データを作成し、
作成された前記仕訳データは、ユーザーが前記ウェブサーバにアクセスするコンピュータに送信され、前記コンピュータのウェブブラウザに、仕訳処理画面として表示されることを特徴とする会計処理装置。 An accounting processing apparatus for performing accounting processing by cloud computing,
A web server for providing cloud computing to users, the web server comprising:
Identify web statement data by transaction,
Each transaction is automatically journalized to a specific account by segmenting the transaction description of each transaction into keywords, referring to the frequency of occurrence of one or more accounts associated with each keyword,
Create journal data that includes at least the date, transaction details, amount and account,
The created journal data is transmitted to a computer where a user accesses the web server, and is displayed as a journal processing screen on a web browser of the computer. - 各キーワードに対応づけられた1又は複数の勘定科目の出現頻度は、キーワードごとに正規化されていることを特徴とする請求項1に記載された会計処理装置。 The accounting processing apparatus according to claim 1, wherein the appearance frequency of one or more account items associated with each keyword is normalized for each keyword.
- 前記仕訳は、勘定科目ごとに、各キーワードが有する出現頻度をスコアとして合計して、最も高いスコアの勘定科目に自動的に仕訳をすることを特徴とする請求項1又は2に記載の会計処理装置。 3. The accounting process according to claim 1 or 2, wherein the journal is automatically summed up as an account item having the highest score by summing up the appearance frequency of each keyword as a score for each account item. apparatus.
- 一文字の記号又は数字のみのキーワードは、前記スコアの合計において考慮しないことを特徴とする請求項1から3のいずれかに記載の会計処理装置。 4. The accounting apparatus according to claim 1, wherein a keyword consisting of only one symbol or number is not considered in the total score.
- 前記仕訳処理画面は、勘定科目を変更するためのメニューを有することを特徴とする請求項1から4のいずれかに記載の会計処理装置。 5. The accounting processing apparatus according to claim 1, wherein the journal processing screen has a menu for changing an account item.
- ユーザーが、自動的に仕訳された勘定科目を前記メニューから選択して修正した場合に、取引内容の記載と修正された勘定科目との対応づけを、ユーザーごとのユーザールールとして、前記会計処理装置の記憶部に格納することを特徴とする請求項5に記載の会計処理装置。 When the user selects and corrects an automatically journalized account item from the menu, the accounting processing device uses the correspondence between the description of the transaction contents and the corrected account item as a user rule for each user. 6. The accounting processing apparatus according to claim 5, wherein the accounting processing apparatus stores the information in a storage unit.
- 前記出現頻度は、前記記憶部に格納された、複数のユーザーのユーザールールに基づいて定められることを特徴とする請求項6に記載の会計処理装置。 The accounting apparatus according to claim 6, wherein the appearance frequency is determined based on user rules of a plurality of users stored in the storage unit.
- 前記出現頻度は、各ユーザールールに含まれる取引内容の記載をキーワードに分節し、各キーワードにつき、修正された勘定科目の出現回数のカウントをインクリメントして定められることを特徴とする請求項7に記載の会計処理装置。 8. The appearance frequency is determined by dividing a description of transaction contents included in each user rule into keywords, and incrementing a count of the number of appearances of a modified account item for each keyword. The accounting processing device described.
- 前記キーワードは、形態素であることを特徴とする請求項1から8のいずれかに記載の会計処理装置。 9. The accounting processing apparatus according to claim 1, wherein the keyword is a morpheme.
- 形態素への分節は、ドメイン処理を要することなく行われることを特徴とする請求項9に記載の会計処理装置。 The accounting processing apparatus according to claim 9, wherein segmentation into morphemes is performed without requiring domain processing.
- ウェブサーバが提供するクラウドコンピューティングによる会計処理を行うための会計処理方法であって、
前記ウェブサーバが、ウェブ明細データを取引ごとに識別するステップと、
前記ウェブサーバが、各取引を、前記各取引の取引内容の記載をキーワードに分節し、各キーワードに対応づけられた1又は複数の勘定科目の出現頻度を参照して、特定の勘定科目に自動的に仕訳するステップと、
前記ウェブサーバが、日付、取引内容、金額及び勘定科目を少なくとも含む仕訳データを作成するステップと
を含み、
作成された前記仕訳データは、ユーザーが前記ウェブサーバにアクセスするコンピュータに送信され、前記コンピュータのウェブブラウザに、仕訳処理画面として表示されることを特徴とする会計処理方法。 An accounting processing method for performing accounting processing by cloud computing provided by a web server,
The web server identifying web detail data for each transaction;
The web server automatically divides each transaction into a specific account item by segmenting the description of the transaction contents of each transaction into keywords and referring to the frequency of appearance of one or more account items associated with each keyword. Journalizing steps,
The web server creating journal data including at least a date, a transaction content, an amount, and an account item,
The created journal data is transmitted to a computer where a user accesses the web server, and displayed as a journal processing screen on a web browser of the computer. - ウェブサーバが提供するクラウドコンピューティングによる会計処理を行うための会計処理プログラムであって、前記ウェブサーバに、
ウェブ明細データを取引ごとに識別するステップと、
各取引を、前記各取引の取引内容の記載をキーワードに分節し、各キーワードに対応づけられた1又は複数の勘定科目の出現頻度を参照して、特定の勘定科目に自動的に仕訳するステップと、
日付、取引内容、金額及び勘定科目を少なくとも含む仕訳データを作成するステップとを含み、
作成された前記仕訳データは、ユーザーが前記ウェブサーバにアクセスするコンピュータに送信され、前記コンピュータのウェブブラウザに、仕訳処理画面として表示されることを特徴とする方法を実行させるための会計処理プログラム。 An accounting processing program for performing accounting processing by cloud computing provided by a web server, the web server,
Identifying web statement data for each transaction;
A step of automatically translating each transaction into a specific account item by segmenting the transaction description of each transaction into keywords and referring to the frequency of appearance of one or more account items associated with each keyword. When,
Creating journal data including at least a date, transaction content, amount and account,
An accounting processing program for executing a method, wherein the created journal data is transmitted to a computer where a user accesses the web server, and displayed on a web browser of the computer as a journal processing screen.
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