JP5944338B2 - Information processing apparatus, information processing program, and information processing method - Google Patents

Description

  The present invention relates to an information processing apparatus, an information processing program, and an information processing method.

  2. Description of the Related Art Computerization technology for books that creates text data based on scanned images of books has become widespread. In order to digitize a book, first, the book is scanned and a character image is extracted from the scanned image. By obtaining a character code corresponding to the character image from the character pattern dictionary, the character image is converted into text data. Then, by creating text data based on the scanned image, the book is converted into an electronic file.

  There are cases in which handwritten characters are already attached to books that are requested to be digitized by business operators at the time of request. For example, when reading a scholarly document, the part that is considered particularly important in the scholarly document is indicated by a wavy line, or the words “main points” and “points” are written, and the important part when reading back later. May be judged at a glance. Such handwritten characters are usually deleted as noise when a book is converted into an electronic file.

JP 2011-053889 A JP 2009-231172 A JP 2009-212655 A

  However, there is a problem that handwritten characters are not effectively used when digitizing a book.

  The disclosed technology has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing program, and an information processing method capable of effectively using handwritten characters.

The information processing apparatus according to the present application, the obtaining means the range of handwriting portions included in the scanned image identified using the coordinates corresponding to the scanned image, and acquires the target sentence corresponding to before and after the identified said range , characterized by comprising the scan picture image, information identifying the scope, and a storage means for storing in association with the Target sentence.

  According to the embodiment of the disclosed technology, there is an effect that handwritten characters can be effectively used.

FIG. 1 is a diagram for explaining a flow of processing from acquiring handwritten data according to the first embodiment to posting a target sentence on a Web page for posting. FIG. 2 is a diagram showing an example of a configuration relating to a book electronic processing system. FIG. 3 is a functional block diagram showing the configuration of the electronic processing server. FIG. 4 is a diagram illustrating an example of image data. FIG. 5 is a diagram showing an example of text data. FIG. 6 is a diagram showing an example of handwritten data. FIG. 7 is a flowchart showing a flow from creation of each handwriting data from image data. FIG. 8 is a diagram showing a transition from a scanned image to a posting Web page. FIG. 9 is a diagram illustrating an example of handwriting data when a hash tag is attached to the target sentence. FIG. 10 is a diagram illustrating an example when the terminal sets a hash tag in the input field of the posting site and inputs a target sentence.

  Hereinafter, embodiments for carrying out an information processing apparatus, an information processing program, and an information processing method according to the present application will be described in detail with reference to the drawings. Note that the search device, search program, and search method according to the present application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted. Each embodiment can be appropriately combined within a range in which processing contents do not contradict each other.

[Process overview]
First, display processing according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram for explaining the flow of processing from acquiring handwritten data to posting a target sentence on a posting Web page. The information processing server 200 mainly performs processing for acquiring target texts corresponding to before and after the handwritten portion included in the scanned image 11 and processing for storing the scanned images 11 and the target text in association with each other. More specific description will be given below.

  First, the information processing server 200 acquires target sentences corresponding to before and after the handwritten part included in the scanned image 11. For this purpose, the information processing server 200 first receives the image data 221a read by a scanner or the like, and acquires a handwritten character or a portion where a handwritten code is written as handwritten character data. For example, the information processing server 200 is underlined in the lower part of the term “exchange rate” described in the image data 221a, and the character “point” is written by hand under it. Extract the book parts by enclosing them in a rectangle. When the information processing server 200 extracts the handwritten portion, the number of pages “3” corresponding to the image data 221 in which the handwritten portion is written, and the upper left and lower right when the handwritten portion is surrounded by a rectangle. The coordinates “(90, 80)-(130, 85)” are associated with the handwritten character data, and further, the handwritten ID “1” given sequentially for each handwritten portion is associated.

  Next, the information processing server 200 acquires target sentences before and after the extracted handwritten part. For example, the information processing server 200 identifies the handwriting location based on the number of pages with the handwriting location “3” and the coordinates “(90, 80) − (130, 85)” relating to the handwriting location, Get the target sentence data corresponding to before and after the text. For example, the information processing server 200 acquires a total of three lines as text data including one line before and after the line related to the handwritten part.

  Next, the information processing server 200 stores the handwritten data 10 in association with the scanned image 11. The information processing server 200 acquires the line “3-6” of the target sentence when acquiring the target sentence. Then, the information processing server 200 associates the line “3-6” of the target sentence with the text data of the target sentence with the handwriting ID “1” and sets it as the handwriting data 10. That is, the information processing server 200 stores the handwritten ID, the number of pages, the coordinates, the handwritten character data, the acquired line of the target sentence, and the target sentence data in association with each other as the handwritten data 10.

  The terminal 30a downloads the handwritten data 10 and the scanned image 11, and displays the scanned image 11 on the display unit 31a. When the handwritten portion of the scanned image 11 is pressed, the terminal 30a acquires the target sentence corresponding to the handwritten portion based on the handwritten data 10. In the terminal 30a, when the handwritten part is pressed, the display unit 31a switches to the web page for posting, and transitions to the display unit 31b. Furthermore, the terminal 30b inputs the target sentence in the input field of the Web page for posting. When the terminal 30b detects that the posting button is pressed, the terminal 30b posts the target sentence to the posting web page.

  As described above, the information processing server 200 acquires the target sentence corresponding to the handwritten part included in the scan image, and stores the scan image 11 and the target sentence in association with each other. The terminal 30 that has downloaded the scan image 11 and the handwritten data 10 in which the target text is associated with each other acquires the target text from the handwritten data 10 when the handwritten location displayed on the display unit 31a is pressed. Then, the target sentence can be input in the input field of the Web page for posting. For this reason, the user can post the target text corresponding to the selected handwritten part to the posting site only by performing a simple operation such as selecting a posting button on the posting Web page of the display unit 31b.

[Overall configuration of electronic system]
FIG. 2 is a diagram illustrating an example of the overall configuration of the computerized system 100. The user terminal 101, the computerized server 110, and the management system 120 are connected to a network (not shown) and exchange various information. As an aspect of such a network, there is an arbitrary communication network such as a local area network (LAN), a virtual private network (VPN), or a mobile communication network regardless of wired or wireless.

  The user terminal 101 is a terminal device operated by a user. For example, the user terminal 101 is an information processing apparatus such as a desktop PC (personal computer), a tablet PC, or a notebook PC. The user terminal 101 may be a smart phone, a PDA (Personal Digital Assistant), or a mobile phone. In the example of FIG. 2, one desktop PC and one smartphone are shown as the user terminal 101, but this is an example of a user terminal, and other types of terminals may be used.

  The electronic server 110 is a server owned by a business operator who digitizes books. A device such as a scanner is connected to the electronic server 110, and the book is digitized from the scanned image to create text data 222.

  The management system 120 is a system that performs various types of management. The management system 120 manages electronic book data and the like, and includes a receiving server 121, a file management server 122, an authentication server 123, and a settlement server 124. The receiving server 121, the file management server 122, the authentication server 123, and the settlement server 124 are connected to the computerized server 110 via a network. Further, the receiving server 121 receives the text data 222 and the scanned image 11 from the electronic server 110. Further, the file management server 122 has a storage area for a user for each registered user.

  Next, a user operation accepted by the computerization system 100 and a process of the computerization system 100 for the user operation will be described. The digitization server 110 provides a provider web page 103 and accepts a request for digitization of a book from the provider web page 103. When a user digitizes a book, the user performs member registration from the business entity web page 103 (1). Various types of information such as fees related to digitization of books are displayed on the business entity web page 103.

  The business entity web page 103 has an input area for inputting the user ID and password of the management system 120, and authenticates the user by the authentication server 123 using the user ID and password. The user logs in by entering the user ID and password of the management system 120 on the business entity web page 103 (1). The business entity web page 103 authenticates the user by the authentication server 123 using the input user ID and password, and accepts a request for digitization of the book when the authentication is obtained (2). Upon receiving a book digitization request, the business entity web page 103 notifies the reception server 121 of the request content.

  When the business operator accepts the book sent from the user (3), the business operator reads the book with a scanner (not shown), and the electronic server 110 acquires the scanned image 11. The computerization server 110 acquires a character string included in the scanned image 11 and converts it into text data by digitizing the character string (4).

  When the electronic server 110 confirms the billing by the user (5), the electronic server 110 transmits the electronic book data 122 including the scanned image 11 and the text data 222 to the reception server 121 and writes it in the storage area for the business in the storage unit 21. (6).

  The receiving server 121 moves the electronic book data 112 to the requesting user's storage area in the file management server 122 when the electronic book data 112 is written in the storage area for the business. Thereby, the user can browse the scanned image 11 and the text data 222 by accessing the storage area of the requesting user from the user terminal 101 (7).

[Processing in the information processing server]
An example of a functional configuration of the information processing server 200 according to the first embodiment will be described. FIG. 3 is a functional block diagram illustrating the configuration of the electronic processing server according to the first embodiment. As illustrated in FIG. 3, the information processing server 200 includes a control unit 210 and a storage unit 220. The information processing server 200 is connected to the input unit 201 and the communication I / F 202. The file management server 122 of FIG. 2 described above is an example of the information processing server 200.

  The input unit 201 is a device for inputting the scanned image 11 captured by a scanner or the like. The input unit 201 inputs each page of the book to the storage unit 220 as the scanned image 11. The communication I / F 202 is an interface such as a NIC (Network Interface Card). The communication I / F 202 transmits image data 221, text data 222, handwriting ID, number of pages, coordinates, handwriting character data, target sentence line, and handwriting data 10 associated with the target sentence data to the terminal 30. Send to.

  The storage unit 220 is a device that stores various types of information. The storage unit 220 includes image data 221, text data 222, and handwritten data 10. In addition, the storage unit 220 stores various programs including an OS (Operating System) executed by the control unit 210 and a program for executing a storage process described later.

  Image data 221 included in the storage unit 220 is an image of each page of the scanned image 11. FIG. 4 is a diagram illustrating an example of the image data 221. As illustrated in FIG. 4, the storage unit 220 may divide the scanned image 11 into pages and store the image of each page as image data 221. When storing the image data 221, the storage unit 220 may store the number of pages corresponding to the image data 221 in the scanned image 11 in association with each other. The image data 221 may include a handwritten part. In addition, the memory | storage part 220 may memorize | store the image which concerns on all the pages of a book separately.

  The text data 222 included in the storage unit 220 is obtained by converting the scanned image 11 into text. FIG. 5 is a diagram illustrating an example of the text data 222. The storage unit 220 stores the scanned image 11 in association with the text data 222. For this reason, the terminal 30 that has received the scan image 11 and the text data 222 can specify the position of each character of the text data 222 in the scan image 11. Thus, the scan image 11 is associated with the text data.

  The handwritten data 10 included in the storage unit 220 is data in which the coordinates and the like of each handwritten part included in the scanned image 11 are associated. The handwriting data 10 associates a handwriting ID, the number of pages, coordinates, handwriting character data, a target sentence line, and target sentence data, and further associates a handwriting ID given sequentially for each handwriting part. The storage unit 220 may set the handwriting ID as a primary key and manage each handwriting data 10 in a database. Note that the information processing server 200 can remove each handwritten character data from the scanned image 11 because the handwriting data 10 associates the coordinates with the handwritten character data.

  Next, each item of the handwritten data 10 will be described with reference to FIG. FIG. 6 is a diagram showing an example of the handwriting data 10. As shown in FIG. 6, the handwritten data 10 includes handwritten ID, page, coordinates, handwritten character data, line, and target sentence data. The acquisition unit 212 sets a “handwriting ID” by sequentially numbering each handwriting location. Since the information processing server 200 sets the “handwriting ID” to a unique number, when the handwriting data 10 is managed in the database, the “handwriting ID” can be used as the main key of each record. The “page” of the handwritten data 10 is the number of pages with a handwritten part. The “coordinates” of the handwriting data 10 indicate the coordinates of the upper left corner and the lower right corner when the handwritten portion in the image data 221 is enclosed by a rectangle. “Handwritten character data” of the handwritten data 10 is obtained by extracting a handwritten portion corresponding to “coordinates” as an image. The “line” of the handwriting data 10 is a line of the target sentence in the image data 221. The “target sentence data” of the handwritten data 10 is obtained by extracting the portion of the target sentence in the scanned image 11 as text data. The “target sentence data” may be extracted from the image data 221 as a part of the target sentence.

  For example, the handwritten data 10 in FIG. 6 indicates the handwritten portion in FIG. 4. The handwritten ID “1”, the page “3” of the image data 221 in which the handwritten portion is written, the range of the handwritten portion. "(90,80)-(130,85)" indicating the handwriting, handwritten data extracted from the handwritten part as an image, target sentence line "3-6", and the target sentence extracted from the target sentence as text data Data is associated.

  The control unit 210 includes a reception unit 211, an acquisition unit 212, and a transmission unit 213. Each function of the control unit 210 can be realized, for example, by a CPU (Central Processing Unit) executing a predetermined program.

  The receiving unit 211 included in the control unit 210 receives the image data 221. Since the image data 221 is associated with each page of the scan image 11 in the storage unit 220, the accepting unit 211 may accept the corresponding number of pages when accepting each image data 221. The accepting unit 211 may assign the number of pages to each image data 221 when accepting each image data 221.

  The acquisition unit 212 included in the control unit 210 acquires target sentences corresponding to before and after the handwritten portion included in the scanned image 11. First, the acquisition unit 212 acquires the image data 221 related to the page and the number of pages of the received image data 221 from the reception unit 211. Next, the acquisition unit 212 searches for the handwritten part from the upper part to the lower part of the image data 221. When the handwritten part is found, the acquisition part 212 sequentially attaches the handwritten ID, and the number of pages, the coordinates of the handwritten part, Associate handwritten character data. In order to distinguish between handwritten characters and printed characters, for example, a spectral region local fluctuation detection method is used. Fluctuation due to handwriting is detected, and based on this, it is determined whether it is a handwritten character or a printed character.

  Next, the acquisition unit 212 acquires target sentences corresponding to before and after the handwritten part based on the coordinates of the handwritten data 10. For this purpose, the acquisition unit 212 first specifies the position of the handwritten portion in the image data 221 based on the “coordinates” related to the handwritten data 10.

  Next, the acquisition unit 212 specifies the range of the target sentence corresponding to before and after the handwritten part in the image data 221. For example, the acquisition unit 212 may set the range of the number of lines set in the upper and lower handwritten locations as the range of the target sentence. In that case, the acquisition unit 212 identifies the character string described in the range of the target sentence in the image data 221 with the text data 222, and acquires the target sentence as text data. At this time, the acquisition unit 212 also acquires the line of the target sentence in the image data 221. Then, the acquisition unit 212 associates the handwritten ID, the number of pages, the coordinates, the handwritten character data, the target sentence line, and the target sentence data, and stores them in the storage unit 220 as the handwritten data 10.

  Moreover, the acquisition part 212 is good also considering the range of the number of characters before and behind a handwritten location as the range of an object sentence. In this case, the acquiring unit 212 first determines the position of the handwritten part in the image data 221 based on the “coordinates” of the handwritten data 10 based on the position of the handwritten part in the image data 221. Identify. Next, the acquisition unit 212 specifies the position of the handwritten portion in the text data 222 from the position of the handwritten portion in the image data 221, and sets a character string corresponding to a predetermined number of characters before and after the handwritten portion from the text data 222. Get as. The acquisition unit 212 may acquire the target sentence by converting the part of the target sentence in the image data 221 into text.

  Thereby, the acquisition unit 212 can acquire each target sentence corresponding to each handwritten part included in the scanned image 11. In addition, although the acquisition part 212 demonstrated above the example which acquires a target sentence as text data, you may acquire as image data.

  The transmission unit 213 included in the control unit 210 transmits the handwritten data 10 and the scanned image 11 to the terminal 30 via the communication I / F 202. Note that the transmission unit 213 may transmit the text data 222 associated with the scanned image 11.

  Next, a procedure from registering handwritten character data and target sentences to each handwritten portion from the image data 221 to the handwritten data 10 will be described with reference to FIG. FIG. 7 is a flowchart showing a flow from creation of each handwritten data 10 from the image data 221. The acquisition unit 212 searches for the handwritten portion included in the image data 221 received by the receiving unit 211 in order from the top of the image data 221 (step S10). The processing method is a conventional technique, for example, disclosed in Japanese Patent Application Laid-Open No. 2009-212655. If there is no handwritten part in the image data 221 (step S10 No), the acquisition unit 212 ends the process and starts the process of the image data 221 related to the next page. If there is a handwritten portion in the image data 221 (step S10 Yes), the acquiring unit 212 extracts the handwritten portion as handwritten character data (step S11). The acquisition unit 212 registers the extracted handwritten character data in the handwritten data 10 in association with the number of pages related to the image data 221 and the coordinates of the handwritten location (step S12). Furthermore, the acquisition unit 212 identifies the range of the target sentence corresponding to the handwritten part before and after the handwritten part in the image data 221 based on the coordinates of the handwritten part, and extracts the target sentence from the text data 222 based on the range of the target sentence. Extract (step S13). Then, the acquisition unit 212 registers the line of the target sentence and the target sentence in association with the handwriting data 10 related to the same handwriting ID (step S14). The above process is repeated until it is determined in step S10 that all handwritten portions of the image data 221 have been extracted.

[Terminal]
The flow from the operation of the screen of the scanned image 11 to the posting of the target sentence to the posting Web page will be described with reference to FIG. FIG. 8 is a diagram showing a transition from the scanned image 11 to a posting Web page. First, the terminal 30a displays the scanned image 11 downloaded from the information processing server on the display unit 31a. Note that the terminal 30a displays the next page when an operation of scrolling the screen is performed on the display unit 31a.

  When the handwritten portion under “Exchange rate” is pressed, the terminal 30a searches for the handwritten data 10 corresponding thereto. First, the terminal 30a searches for the handwritten data 10 corresponding to the page of the scanned image currently displayed on the display unit 31a, and compares the coordinates relating to the pressed position with the “coordinates” of the handwritten data 10. . If the coordinates relating to the pressed position are within the range of “coordinates” of the handwritten data 10, the terminal 30 a determines that the handwritten data 10 corresponds to the pressed handwritten part. Next, the terminal 30a acquires the target sentence data corresponding to the pressed handwritten part from the handwritten data 10.

  Next, the terminal 30b displays the posting site and inputs the acquired target sentence in the input field 41 of the posting site. When the posting button 42 is pressed on the display unit 31b, the terminal 30b posts the target sentence. Thereby, the user can post a document quote by simply selecting a handwritten part from the scanned image 11 and performing a predetermined operation on the Web page for posting. That is, the user can save the trouble of inputting information related to the handwritten part when transmitting information about the book.

  The posting site may be a user's personal blog or a site where a short sentence of a predetermined number of characters can be posted in time series. When the information processing server 200 posts the target sentence to a site where the number of characters that can be posted at a time is limited to a predetermined number of characters, the acquisition unit 212 acquires the target sentence as the target sentence when acquiring the target sentence. The number of characters before and after the location may be set to the number of characters restricted on the posting web page and acquired as the target sentence.

[effect]
As described above, the information processing server 200 according to the embodiment includes the acquisition unit 212 and the storage unit 220. The acquisition unit 212 acquires target sentences corresponding to before and after the handwritten part included in the scanned image 11. The storage unit 220 stores the scan image 11 and the target sentence in association with each other. Thus, the terminal 30 that has received the scanned image 11 and the target sentence associated with the scanned image 11 from the information processing server 200 can acquire the target sentence from the handwritten characters described in the scanned image 11. . As a result, handwritten characters can be used effectively.

  In the information processing server 200 according to the embodiment, the acquisition unit 212 acquires the target sentence from the scan image 11 as text data. Accordingly, the terminal 30 that has received the scanned image 11 and the target sentence acquired as text data from the information processing server 200 can enter the target sentence in the input column of the posting website with a simple operation. You will be able to post without manually entering text.

[Process to attach hash tag]
In the first embodiment, the scan image 11 and the target sentence are associated with the handwriting data 10. However, a hashtag for use on a posting website having a hashtag function is further added to the handwriting data 10. You may associate. Therefore, in the second embodiment, an example in which a hash tag is included in the handwritten data 10 will be described. Note that the configuration of the information processing server 200 according to the second embodiment is such that the control unit 210 includes an extraction unit.

  The information processing server 200 may further include an extraction unit in the control unit 210. The designated character string in the scanned image designated by the handwritten part is extracted as a hash tag, and the “hash tag” is associated with the handwritten data 10. For example, in FIG. 4, the extraction unit emphasizes the “exchange rate” portion by the handwritten part of the image data 221, and therefore extracts a character string corresponding to the “exchange rate” from the text data 222. Then, the extraction unit sets the extracted “exchange rate” in the “hash tag” field of the handwritten data 10 and associates the “hash tag” with the handwritten data 10.

  For example, the extraction unit sets the character string “exchange rate” in the upper part of the range of (90, 80) − (130, 85) indicated by “coordinates” of the handwriting data 10 as the designated character string, and the handwriting data 10 is set to “hash tag”.

  The terminal 30 that has received the handwritten data 10 from the information processing server 200 can attach a hash tag to the target sentence when posting to the posting site. FIG. 9 is an example of the handwriting data 10 when a hash tag is attached to the target sentence. The information processing server 200 sets the designated character string designated by the handwritten part in the hash tag. For example, in FIG. 4, since the information processing server 200 has a handwritten portion under “Exchange rate” in the image data 221, the designated character string designated by the handwritten portion is “Exchange rate”.

  FIG. 10 is a diagram illustrating an example when the terminal 30 sets a hash tag in the input field of the posting site and inputs a target sentence. When the terminal 30 receives the handwritten data 10 from the information processing server 200 and posts the target text, the terminal 30 sets the “hash tag” of the handwritten data 10 as a hash tag on the posting Web page You can post a sentence. For example, “# exchange rate” is added to the head of the target sentence in the input field 41 of the posting site, and the target sentence “policy is deflation ...” is input after a single-byte space character. This makes it possible to post the target sentence by setting the part that the user recognizes as important and directly handwritten to the hash tag, and other users using the posting site can reach the target sentence based on the hash tag It becomes.

  In the information processing server 200, the extraction unit may set a plurality of hash tags for one handwritten data 10. For example, the extraction unit extracts a plurality of important terms from text data acquired as the target sentence, and sets each of them as a hash tag. This makes it easier for other users to reach the target sentence at the posting site where the user has posted the target sentence.

  In the first embodiment, the information processing server 200 acquires the target sentence as text data, but may acquire it as image data. Thereby, the user can publish image data including a handwritten part as a target sentence on a blog or the like opened by the user.

  2 has been described as an example of the information processing server 200, the computerized server 110 in FIG. 2 may be an example of the information processing server 200.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications, including the aspects described in the disclosure section of the invention, based on the knowledge of those skilled in the art, It is possible to implement the present invention in other forms with improvements.

  Further, the “means” described in the claims can be read as “section (module, unit)” or “circuit”. For example, the reception unit can be read as a reception unit or a reception circuit.

10 Handwritten data 11 Scanned image 200 Information processing server 201 Input unit 202 Communication I / F
210 Control Unit 211 Reception Unit 212 Acquisition Unit 213 Transmission Unit 220 Storage Unit 221 Image Data 222 Text Data

Claims (5)

An acquisition unit that specifies a range of a handwritten portion included in a scan image using coordinates corresponding to the scan image, and acquires target sentences corresponding to before and after the specified range;
Storage means for storing the scanned image, information for specifying the range, and the target sentence in association with each other;
An extraction means for extracting a designated character string in the scanned image designated by the handwritten location as a hash tag,
The storage means stores the hash tag in association with the target sentence.
An information processing apparatus characterized by that.   The information processing apparatus according to claim 1, wherein the acquisition unit acquires the target sentence as image data including the handwritten part.   The information processing apparatus according to claim 1, wherein the acquisition unit acquires the target sentence as text data from the scanned image. An information processing method executed by a computer,
Specify the range of the handwritten part included in the scanned image using the coordinates corresponding to the scanned image, obtain the target sentence corresponding to before and after the identified range,
Storing the scanned image, the information specifying the range, and the target sentence in association with each other ;
Extract a designated character string in the scanned image designated by the handwritten location as a hash tag,
Storing the hash tag in association with the target sentence;
An information processing method characterized by executing processing. On the computer,
Specify the range of the handwritten part included in the scanned image using the coordinates corresponding to the scanned image, obtain the target sentence corresponding to before and after the identified range,
Storing the scanned image, the information specifying the range, and the target sentence in association with each other ;
Extract a designated character string in the scanned image designated by the handwritten location as a hash tag,
Storing the hash tag in association with the target sentence;
An information processing program for executing a process.

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