JP2013205984A - Template information processing program and template information processing method - Google Patents

Abstract

An object of the present invention is to efficiently select and propose highly relevant templates with respect to text contents input by an operator, thereby improving convenience.
A CPU 12 of an operation terminal 2 acquires a keyword list and sequentially acquires text information by an operator. In addition, a plurality of object keywords included in the keyword list are extracted that match the sequentially acquired text information. Then, the category group name associated with the extracted object keyword is acquired. Each time an object keyword that matches the text information is extracted, the count value for the category group acquired in association with the object keyword is increased. Then, the category group having the largest count value at a predetermined timing is determined, and the template T previously associated with the category group is displayed on the display unit 17 in a predetermined order.
[Selection] Figure 4

Description

  The present invention relates to a template information processing program and a template information processing method which are executed in an operation terminal capable of operating a print label producing apparatus.

  For example, a print label production system for producing a desired print label by an operation from an operation terminal such as a personal computer is already known (see Patent Document 1). In this system, when the operator specifies the print contents of a print label (label with adhesive material) to be created by operating the operation terminal (computer device), the corresponding print data is transferred from the operation terminal to the print label creation device (tape printing device). ). Then, printing corresponding to the print data is executed on the print medium (laminate film) by a printing means (thermal head) provided in the print label producing apparatus, and a print label is produced.

  When a print label is created by connecting the operation terminal to the print label producing apparatus as described above, it is very complicated to manually set all print objects such as text and images to be printed on the print label. Therefore, in this prior art, normally, a plurality of types of so-called templates are prepared in which a plurality of print object arrangement frames are allocated in a predetermined manner. The operator can easily create a desired print label by selecting a template suitable for the print mode intended by the operator and assigning a desired text or the like to a print object arrangement frame in the template.

JP 2006-99261 A

  In recent years, the number of prepared templates has become enormous according to various uses of print labels, and it is not always easy for an operator to find a desired template from all templates. Therefore, by further applying the above prior art, when the operator inputs text representing a print object to be formed on the print label, a suitable template is automatically searched using the object keyword included in the entered text content as a clue. Can be recommended to the operator. However, in this case as well, when a plurality of the object keywords are included in the input text content, a large number of templates that are not related to each other may be recommended, which is not convenient for the operator.

  An object of the present invention is to provide a template information processing program and a template information processing method that can efficiently select and propose a highly relevant template with respect to text contents input by an operator and improve convenience for the operator. Is to provide.

  In order to achieve the above object, the present invention is connected to a print label producing apparatus for producing a print label by forming a desired print object on a conveyed print medium, and can be operated by an operator. For searching for a plurality of templates configured by allocating a plurality of print object arrangement frames in a predetermined manner to the calculation means of the operation terminal provided with the operation means, the display means for performing a predetermined display, and the calculation means. One category group is formed for each of two or more object keywords that are related to each other among a plurality of preset object keywords, and each object keyword is associated with identification information of the category group to which the object keyword belongs. In addition, the list acquisition procedure for acquiring the keyword list and the operator sequentially A text information acquisition procedure for sequentially acquiring text information corresponding to the operation input in response to an operation input on the operation means, and a plurality of the object keywords included in the keyword list, sequentially in the text information acquisition procedure A keyword extraction procedure for extracting an object keyword that matches the acquired text information, and the keyword list acquired in the list acquisition procedure, with reference to the object keyword extracted in the keyword extraction procedure Each time the object keyword matching the text information is extracted in the keyword extraction procedure in accordance with the group information acquisition procedure for acquiring the category group identification information and the operation input sequentially performed by the operator, the group information In the acquisition procedure A count value calculation procedure for increasing the count value for the category group acquired in association with the object keyword by a predetermined amount, and the category group having the largest count value in the count value calculation procedure at a predetermined timing. A template display for displaying at least one of the plurality of templates previously associated with the category group determined in the group determination procedure and the group determination procedure determined in the group determination procedure on the display means in a predetermined order And execute the procedure.

  When a print label is created by connecting the operation terminal to the print label producing apparatus, it is very complicated to manually set all print objects such as text and images to be printed on the print label. Therefore, normally, a plurality of types of so-called templates are prepared in which a plurality of print object arrangement frames are allocated in a predetermined manner. The operator can easily create a desired print label by selecting a template suitable for the print mode intended by the operator and assigning a desired text or the like to a print object arrangement frame in the template.

  In the present invention, a category group is formed by grouping two or more object keywords that are related to each other (that is, the categories are the same or similar). Then, a keyword list in which identification information (name and the like) of each category group is associated with each object keyword belonging to the category group is generated in advance.

  When the template information processing program of the present invention is executed by the calculation means of the operation terminal, first, the keyword list is acquired by a list acquisition procedure. Then, as described above, when the operator sequentially inputs text via the operation means, text information corresponding to the text is sequentially acquired in the text information acquisition procedure. At that time, if there is a match with the sequentially acquired text information among all the object keywords included in the acquired keyword list, the object keyword is extracted in the keyword extraction procedure. Thereafter, in the group information acquisition procedure, the category group identification information associated with the extracted object keyword is acquired with reference to the keyword list.

  Here, in the present invention, the count value is counted for each category group described above. That is, each time an object keyword matching text information is extracted as described above, the count value for the category group corresponding to the object keyword is increased (counted up) by a predetermined amount. At a predetermined timing, the category group having the largest count value is determined in the group determination procedure, and the template associated with the determined category is displayed in the template display procedure.

  As described above, in the present invention, object keywords are divided into category groups and grouped, a category group having a high degree of matching of the object keyword with text information is determined, and a template corresponding to the category group is displayed. To do. Thereby, a highly relevant template can be efficiently selected with respect to the text content input by the operator and can be proposed to the operator. As a result, convenience for the operator can be improved.

  According to the present invention, it is possible to efficiently select and propose a template that is highly relevant to the text content input by the operator and improve the convenience for the operator.

It is a system configuration figure showing the outline of the template information processing system which performs the template information processing method of one embodiment of the present invention. It is a functional block diagram showing each part detailed function of a template information processing system. It is explanatory drawing showing the method of the comparative example in which a template is shown by the keyword simple search of the character inputted the text of the label. It is explanatory drawing explaining the template presentation method by one Embodiment of this invention. It is a table | surface showing an example of the keyword list with which the keyword and the identification information of the category group were matched. It is a flowchart showing the control procedure performed by CPU of an operating terminal. It is explanatory drawing showing the example of a display screen in the display part of an operating terminal. It is explanatory drawing showing the example of a display screen in the display part of an operating terminal. It is explanatory drawing showing the example of a display screen in the display part of an operating terminal. It is explanatory drawing showing the example of a display screen in the display part of an operating terminal. It is a table showing an example of a multilingual keyword list.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

<System outline configuration>
The entire configuration of the template information processing system that executes the template information processing method of this embodiment will be described with reference to FIGS. In FIG. 1, a template information processing system 1 includes a content server SV, an operation terminal 2 composed of a general-purpose personal computer, for example, and a label printer 3 (print label) connected to the operation terminal 2 via an interface such as a USB. Creating device). The content server SV and the operation terminal 2 are connected to each other via the network NW.

  The label printer 3 sends and receives various information and instruction signals to and from the operation terminal 2, and creates a print label L having a desired character or graphic print based on the operation of the operator at the operation terminal 2. To do. In the present embodiment, a case where a template T (details will be described later) used to create a print label L in the label printer 3 is provided from the content server SV to the operation terminal 2 will be described as an example. To do.

  As shown in FIG. 2, the operation terminal 2 includes a CPU 12 (calculation unit), a memory 13 including, for example, a RAM and a ROM, an operation unit 14 (operation unit) for inputting instructions and information from an operator, A display unit 17 (display unit) that displays various information and messages, and a communication control unit 15 that controls transmission and reception of information signals with the content server SV and the label printer 3 are provided.

  The ROM of the memory 13 stores a template information processing program for executing each procedure shown in the flow of FIG. The memory 13 also includes a template T acquired (received) from the content server SV (see FIGS. 3 and 4 to be described later), and a list of a plurality of object keywords set in advance for searching the template T. A template storage unit 13a for storing (hereinafter referred to as a keyword list) is provided (details will be described later).

  As shown in FIG. 2, the content server SV includes a CPU 120, a memory 130 such as a RAM or a ROM, a communication control unit 150 that controls transmission / reception of information signals to / from the operation terminal 2 via the network NW, A large-capacity storage device 160. The large-capacity storage device 160 is composed of, for example, a hard disk device, and stores various information such as a plurality of templates T for the operation terminal 2 related to creation of the print label L and the keyword list.

  The CPU 120 and the CPU 12 perform signal processing according to a program stored in advance in the ROM while using the temporary storage function of the RAM. The CPU 12 of the operation terminal 2 sends and receives various instruction signals and information signals to and from the label printer 3 by the signal processing. The CPU 120 of the content server SV transmits / receives various instruction signals / information signals to / from the operation terminal 2 through the network NW by the signal processing.

  As shown in FIG. 2, the label printer 3 includes a tape roll 204 around which a tape 203 (= printed tape, which is originally a spiral but is simplified and shown as a concentric circle) as a printing medium is wound. A detachable tape roll holder unit 210 (or a cartridge having a tape roll 204 detachable) and a print for forming a desired print object (text, graphic image, etc.) on the tape 203 fed out of the tape roll 204 A head 205, a cutter 207 that cuts the tape 203 after printing into a predetermined length to form a print label L, and a print head 205 are provided opposite to the print head 205, and are controlled by the control circuit 202 to be output from the tape roll 204. As with the transport device 209 that transports the tape 203 and the operation unit 14 of the operation terminal 2, instructions and information from the operator are input. Is the having an operation section 206, a. The control circuit 202 is connected to the communication control unit 15 of the operation terminal 2 via the communication control unit 208 and further connected to the communication control unit 150 of the content server SV via the network NW.

<Template>
As described above, when the operation terminal 2 is connected to the print label producing device 3 and a print label is produced, the operator manually sets all the print objects such as text and images to be printed on the print label L. It is very cumbersome. In the present embodiment, a plurality of types of so-called templates T (see FIGS. 3 and 4 to be described later) in which a plurality of print object arrangement frames are allocated in a predetermined manner are prepared, and the mass storage device 160 of the content server SV. Is remembered.

  Each template T is read and downloaded from the large-capacity storage device 16 by, for example, an appropriate operator operation (details will be described later) in the operation unit 14 of the operation terminal 2, and is stored in the memory of the operation terminal 2 via the network NW. 13 in the template storage unit 13a. The operator can easily create a desired print label by selecting a template suitable for the print mode intended by the operator and assigning a desired text or the like to a print object arrangement frame in the template. Note that the keyword list is also read from the large-capacity storage device 16 and installed in the template storage unit 13a, like the template T.

<Features of this embodiment>
At the time of installing the template T, the content server SV displays the templates T in a listable manner in response to an appropriate operation of the operator at the operation unit 14 of the operation terminal 2. A feature of the present embodiment is that when displaying a list of such templates T, a highly relevant template T is efficiently selected with respect to the text contents that the operator has input to create the print label L. And display it. Hereinafter, the contents will be described in order.

<Comparative example>
First, a comparative example for this embodiment will be described. In recent years, the number of the prepared templates T has become enormous in accordance with various uses of the print label L. For this reason, when displaying a list of templates on the operation terminal 2, it is not always easy for the operator to find a desired template T among all the templates T. Therefore, when the operator inputs text representing a print object to be formed on the print label L, a suitable template T is obtained using the object keyword included in the input text content (keyword included in the input text content) as a clue. A method of automatically searching and recommending it to the operator can be considered. A case where such a method is executed is shown in FIG. 3 as a comparative example of the present embodiment.

  For example, as shown in FIG. 3, the operator operates the operation unit 14 with the intention of creating a printed label L for a business card, and reads “Ichiro Ueno XX Food Sales Co., Ltd. Consider a case where a text is input as “1-37 Hakuryucho, Mizuho-ku, Nagoya-shi, TEL: 080-1234-4321”.

  In this case, for example, first, a plurality of name tag templates T (in this example, “sales department second group”, “Oda x Hiko”, “12- Name tag template A, name tag template B,..., And the like including three arrangement frames, for example, “567800” are hit.

  In addition, with the text character “food” included in the text input content as a keyword, the template T for the kitchen (in this example, “frozen hamburger”, “monthly / monthly purchase”, etc.) is displayed as an example. ) Including kitchen template A, kitchen template B, etc.

  Further, a shop template T (in this example, “FOR SALE”, “¥ 980”, etc.) is used as a keyword, and a shop including two layout frames with an example of display of “FOR SALE” and “¥ 980”. Template A, shop template B, etc.) are hit.

  In addition, a trading template T (in this example, “XX Co., Ltd.”, “First Section of TSE”, “March closing”), “Consolidated business: XX”, with the text character “stock” included in the text input content as a keyword. , ▲, etc.), a trading template A including four arrangement frames, a trading template B,...

  Furthermore, the business card template T (in this example, “XX company”, “Yamayama × husband”, etc.) is used as an example with the text character “company” included in the text input content as a keyword. Business card template A, business card template B,.

  Further, the name tag template T described above is hit even when the text character “part” included in the text input content is used as a keyword.

  As described above, in the method of this comparative example in which a keyword is simply searched from text characters, for example, when the object text includes a large number of the object keywords, there are many types of unrelated templates T. It will hit. As a result, the template list display itself becomes very complicated, and it is very inconvenient for the operator to find a specific template T that he / she wants to install.

<Overview of the method of the embodiment>
Therefore, in the present embodiment, when such a template T is displayed, a plurality of the object keywords set in advance for searching for the template T are divided into a plurality of category groups as shown in FIG. Keep grouped. Then, a category group having a high degree of matching of the object keyword with the text information is determined, and a template T corresponding to the category group is displayed. Thereby, the template T with high relevance can be efficiently selected with respect to the text content which the operator input and can be proposed to the operator. Hereinafter, the details of the method of this embodiment will be described with reference to FIGS. 4 and 5 to 10.

<Specific Method of Embodiment>
Hereinafter, as in FIG. 3 above, the operator entered the text as “Ichiro Ueno XX Food Sales Co., Ltd. General Affairs Department 1-37 Hakuryu-cho, Mizuho-ku, Nagoya-shi, Aichi Prefecture TEL: 080-1234-4321” A case will be described as an example.

  As described above, in the present embodiment, the plurality of object keywords set in advance for searching the template T are divided into a plurality of category (classification) groups and grouped. FIG. 5 shows a keyword list representing this grouping. In FIG. 5, in the keyword list, identification information such as the name of each category group is associated with each object keyword belonging to the category group.

  In the illustrated example, the category group “BusinessCard” is associated with a plurality of keywords including “company”, “phone”, “Tel”, “prefecture”, “city”, “ward”, “zip code”, “〒”, and the like. . Further, a plurality of keywords including “stock” and the like are associated with the category group “Trading”. In addition, the category group “Nameplate” is associated with a plurality of keywords including “Ichiro”, “part”, and the like. Furthermore, the category group “Notification” is associated with a plurality of keywords including “no smoking”. A plurality of keywords including “food” and the like are associated with the category group “Kitchen”. Furthermore, a plurality of keywords including “sales” and the like are associated with the category group “Shop”.

  This keyword list is stored in the large-capacity storage device 160 of the content server SV, and as described above, by an appropriate operation of an appropriate operator in the operation unit 14 of the operation terminal 2 (or automatically at a predetermined cycle). (May be executed) read out from the mass storage device 16 and downloaded and installed in the template storage unit 13a in the memory 13 of the operation terminal 2 (if there is already an old list, it is updated to a new keyword list) )

  Returning to FIG. 4, when the text “Ichiro Ueno XX Food Sales Co., Ltd. General Affairs Department 〒 467-0826 1-37 Hakuryucho, Mizuho-ku, Aichi Prefecture TEL: 080-1234-4321” is entered as described above. The above keyword list is referred to. As a result, among the characters included in the text input content, the keywords “Ichiro” and “Part” are extracted to identify the corresponding category group “Name plate”, the keyword “food” is extracted, and the corresponding category group “ “Kitchen” is identified, the keyword “sales” is extracted and the corresponding category group “Shop” is identified, the keyword “stock” is extracted and the corresponding category group “Trading” is identified, and the keywords “company” “〒” “,“ Prefecture ”,“ city ”,“ ward ”, and“ TEL ”are extracted to identify the corresponding category group“ Business card ”.

  A count value is counted for each category group based on the identification of the category group. That is, each time an object keyword matching text information is extracted as described above, a category group corresponding to the object keyword (in the example shown, “Name plate”, “Kitchen”, “Shop”, “Trading”, “Business card”). ")) Is incremented by a predetermined amount (in this example, by 1).

  In this example, as described above, the count number of the category group “Name plate” from which two of “Ichiro” and “part” are extracted is 2, the count number of the category group “Kitchen” from which “food” is extracted is 1, The count number of category group “Shop” from which “sales” is extracted is 1, the count number of category group “Trading” from which “stock” is extracted is 1, “company” “〒” “prefecture” “city” “city” The count number of the category group “Business card” from which six of “TEL” are extracted is six.

  As a result, the category group having the largest count number (in this example, the category group “Business card” having the count number of 6) is determined, and the templates are arranged in descending order of the number of matched keywords in the determined category group. T is displayed. In the illustrated example, the category group “Business cards” determined above includes a template Ta (in this example, “Kazufumi Yano”, “8-3-8 Kyobashi Chuo-ku, Tokyo 123-4567”, “Tel: 03 ( 1234) 5678 ”as an example) and template Tb (in this example,“ Honda Manami ”,“ Sales Planning Department Product Planning G ”, and“ LBI Corporation ”as an example) A plurality of templates T including the arrangement frame are prepared. Of the plurality of templates T, the 11 keywords “Ichiro”, “Department”, “Food”, “Sale”, “Stock”, “Company”, “〒”, “Prefecture”, “City”, “City” are extracted. Of the “ward” and “TEL”, the keywords (template keywords) matching each template Ta, Tb,... Is displayed.

  In this example, among the 11 keywords above, the above template Ta that matches the three template keywords “〒”, “ward”, and “TEL” is displayed at the top, and the two template keywords “part” and “company” are displayed. The matching template Tb is displayed in the next level.

<Control procedure>
A control procedure executed by the CPU 12 of the operation terminal 2 in order to execute the above functions is shown in FIG.

  6, a template information processing program for executing the following procedures is installed in advance in the memory 13 (the ROM or the like) of the operation terminal 2 and software (“editor” in FIG. This flow is started by starting up.

  First, in step S <b> 10, the CPU 12 determines whether the keyword list has been installed in the template storage unit 13 a of the memory 13. If it has not been installed yet, the determination in step S10 is not satisfied (S10: NO), and the process proceeds to step S20. If installed, the determination in step S10 is satisfied (S10: YES), and the process proceeds to step S15.

  In step S15, the CPU 12 updates the keyword list installed in the template storage unit 13a by downloading from the mass storage device 160. Thereafter, the process proceeds to step S30 described later.

  On the other hand, in step S20, the CPU 12 downloads the keyword list from the mass storage device 160 of the content server SV via the network NW based on an appropriate operation by the operator via the operation unit 14, and the operation terminal 2 Are installed in the template storage unit 13a in the memory 13. Thereafter, the process proceeds to step S30. In addition, this step S20 and said step S15 are corresponded to the list | wrist acquisition procedure of each claim.

  In step S30, the CPU 12 causes the display unit 17 to display a label editing screen for inputting text for label editing, which the operator intends to print on the print label L. FIG. 7 shows an example of the label editing screen 17A. As shown in FIG. 7, on the upper part of the label editing screen 17A, a model name display field 17f, a print button 17g for label printing instruction, and the like are provided for various settings at the time of text input. . The operator can sequentially input text characters to be formed on the print label L by manual operation via the operation unit 14 using the screen 17A.

  Returning to FIG. 6, after that, in step S <b> 40, the CPU 12 accepts text input such as characters and symbols (to be printed on the print label L) by the operator via the operation unit 14.

  In step S50, the CPU 12 determines whether text addition or text change has been executed by an operation input on the operation unit 14 sequentially performed by the operator. If the text has not been added or changed, the determination in step S50 is not satisfied (S50: NO), and the process returns to step S40 and the same procedure is repeated. If the text has been added or changed, the determination in step S50 is satisfied (S50: YES), and the process proceeds to step S60. In addition, this step S50 and said step S40 correspond to the text information acquisition procedure described in each claim.

  Thereafter, in step S60, the CPU 12 refers to the keyword list acquired in step S20 and step S15, and sequentially acquires in step S40 and step S50 among the plurality of object keywords included in the keyword list. Extract object keywords that match the text information. This step S60 corresponds to the keyword extraction procedure described in each claim.

  In step S50, it may be determined whether or not an operation of “save the file with a name” for saving the file of the template T generated based on the editing operation has been performed by the operator. In that case, in the subsequent step S60, a keyword may be searched from the file name together with the text input content.

  In step S70, the CPU 12 refers to the keyword list and acquires category group identification information (group name or the like) associated with the object keyword extracted in step S60. This step S70 corresponds to the group information acquisition procedure described in each claim.

  Thereafter, in step S80, the CPU 12 increases the count value for the category group acquired in association with the object keyword in step S70 by a predetermined amount (1 in the above example). That is, voting is performed for each category group in the keyword list based on the detected keyword. As a result, returning to step S40 as will be described later, step S50 → step S60 → step S70 → step S80 are repeated, so that each time an object keyword matching text information sequentially input by the operator is extracted, The corresponding category group is counted up. This step S80 corresponds to the count value calculation procedure described in each claim.

  In step S90, the CPU 12 sets the count value for the category group calculated by the CPU 12 to a predetermined threshold value (for example, count value = 6 according to the above example) for one category group. Determine if it has been reached. If the threshold value has not been reached, the determination in step S90 is not satisfied (S90: NO), and the process proceeds to step S100. If the threshold value has been reached, the determination in step S90 is satisfied (S90: YES), and the process proceeds to step S110 described later. The time when the determination in step S90 is satisfied (when the threshold value is reached) corresponds to an example of “predetermined timing” described in each claim.

  In step S100, the CPU 12 performs an operation button (not shown) such as a “template proposal” button displayed on an appropriate screen of the display unit 17 in a state where the count values for each category group are automatically accumulated by repetition as described above. Etc.) to determine whether an appropriate operation for template proposal has been performed. If the operation such as the “template proposal” button is not performed, the determination in step S100 is not satisfied (S100: NO), and the process returns to step S40 and the same procedure is repeated. If the operation such as the “template proposal” button is performed, the determination in step S100 is satisfied (S100: YES), and the process proceeds to step S110. Note that when the determination in step S100 is satisfied (when the “template proposal” button or the like is operated), it corresponds to another example of “predetermined timing” described in each claim.

  In step S110, the CPU 12 determines the category group having the largest count value at this point as the one most relevant to the text content by the operator. This step S110 corresponds to a group determination procedure described in each claim.

  Thereafter, in step S120, the CPU 12 determines a plurality of templates T for each template T out of the plurality of templates T (templates Ta, Tb,... In the above example) included in the category group determined in step S110. The template T having a large number of matches with the object keyword extracted in step S60 is rearranged so as to give priority to the template keywords that are associated with each other. In the above example, the template Ta including the three template keywords “〒”, “ward”, and “TEL” has the highest priority, and then the template Tb including the two template keywords “part” and “company”. Reordering is done to give priority. This step S120 corresponds to the template rearrangement procedure described in each claim.

  In step S130, the CPU 12 selects at least one template T from among the plurality of templates T (template Ta, Tb,... In the above example) included in the category group determined in step S110. Proposals are displayed on the display unit 17 of the operation terminal 2 in the order rearranged in step S120. This step S130 corresponds to a template display procedure described in each claim. An example of the display of the template T at this time is shown in FIG.

  In the example shown in FIG. 8, on the label editing screen 17A, the template Ta and the template Tb to be displayed on the proposal are arranged vertically in this order and displayed as an interrupt window 17B. In this example, a message “Would you like to use the following template?” Is displayed in the interrupt window 17B, and “Apply” button 17c and “Do not apply” button are displayed below the window 17B. 17d is displayed.

  Returning to FIG. 6, after that, in step S140, the CPU 12 determines whether or not the template T displayed in the interrupt window 17B of the input operation screen 17A in step S130 is adopted by the operator. That is, the CPU 12 determines whether or not the “apply” button 17 c is pressed by the operator via the operation unit 14. If the “do not apply” button 17c is pressed without pressing the “apply” button 17c, the determination in step S140 is not satisfied (S140: NO), and the same procedure is repeated by returning to step S40. If the “apply” button 17c is pressed, the determination in step S140 is satisfied (S140: YES), and the process proceeds to step S150.

  In step S150, the CPU 12 downloads the template T determined in step S140 (for example, the template Ta in the above example) from the mass storage device 160 of the content server SV and installs it in the template storage unit 13a. And the text input contents received in step S40 and step S50 up to this point (in the above example, “Ichiro Ueno XX Food Sales Co., Ltd. General Affairs Department 1-37 Hakuryucho, Mizuho-ku, Nagoya, Aichi Prefecture 467-0826 TEL : 080-1234-4321 ") is applied to the arrangement frame of the downloaded template T (template Ta in the above example) to synthesize.

  FIG. 9 shows an example synthesized with the above-mentioned template Ta. The above-mentioned “Kazufumi Yano” “8-12-8 Kyobashi Chuo-ku, Tokyo 123-4567” “Tel: 03 (1234) 5678” As a result of synthesizing the corresponding text input contents with respect to the three layout frames exemplified by “Ichiro Ueno”, “1-37 Hakuryucho, Mizuho-ku, Nagoya, Aichi 467-0826”, “TEL: 080- A new template T1 in which “1234-4321” is arranged is generated and displayed in the label editing screen 17A.

  Returning to FIG. 6, after that, in step S160, the CPU 12 determines whether or not the editing of the print label L in step S150 is completed. When the end of label editing is input by an appropriate operation on the operation unit 14, the determination in step S160 is satisfied (S160: YES), and this flow ends.

  If label editing is continued, the determination in step S160 is not satisfied (S160: NO), and the process returns to step S40 and the same procedure is repeated. As a result, the operator can continue to input text characters. For example, an additional input can be performed on the template T1 after the inset synthesis shown in FIG. In the example of FIG. 10, a new template T1 ′ is displayed in a form in which the text “XX Food Sales Co., Ltd. General Affairs Department” is added above the template T1 displayed in FIG. At this time, the text characters of “XX Food Sales Co., Ltd. General Affairs Department” have already been manually input by the operator as shown in FIG. 7 (and when fitted into the template Ta). Therefore, the template T1 after synthesis may be incorporated by an appropriate simple operation. Alternatively, it may be automatically incorporated and synthesized along a predetermined regularity.

  As described above, in the present embodiment, object keywords are grouped into category groups, a category group having a high degree of matching of the object keyword with text information is determined, and a template corresponding to the category group is determined. T is preferentially displayed. Thereby, the template T with high relevance can be efficiently selected with respect to the text content which the operator input and can be proposed to the operator. As a result, convenience for the operator can be improved.

  Further, in the present embodiment, particularly as an example of the predetermined timing, when the count value calculated for one category group reaches a predetermined threshold value in step S90 of the flow of FIG. In addition, the category group is determined as the category group having the largest count value. As a result, when the count value for one category group reaches a certain value, the category group is automatically regarded as highly relevant to the text content by the operator without requiring any special operation. It is. As a result, the corresponding template T can be promptly proposed to the operator.

  In addition, in the present embodiment, as another example of the predetermined timing, when the operator performs an appropriate operation such as a “template proposal” button, the category group having the largest count value at that time is determined. To do. In other words, the category group having the largest count value at the timing desired by the operator is regarded as highly relevant to the text content by the operator. Thereby, the template T with high relevance to the text content by the operator can be determined at an arbitrary timing of the operator, and can be reliably proposed to the operator.

  In the present embodiment, particularly, when a plurality of templates T are included in a category group in which the object keyword is highly consistent with the text information, the text input by the operator in step S110 and step S120. The templates T that are considered to be more relevant to the contents can be rearranged so as to be prioritized and displayed in step S130. As a result, the convenience for the operator can be further improved.

  The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit and technical idea of the present invention. The modified example will be described below.

(1) Multiple Language Keyword List In the above embodiment, as shown in FIG. 5, identification object information such as the name of each category group is associated with Japanese object keywords belonging to the category group. However, the present invention is not limited to this, and multiple language (multilingual) keywords may be associated. FIG. 11 shows an example of such a keyword list (multilingual keyword list).

  This modification has the following effects in addition to the same effects as those of the above embodiment. That is, for example, personal business cards may be created in Japanese on the front and foreign languages such as English or Chinese on the back. If the multilingual keyword list is used, the above count up in Japanese is used. In addition, a count-up in foreign language notation will be added. Therefore, it is possible to efficiently select the template T having higher relevance with high accuracy with respect to the text content input by the operator.

(2) Secondary search based on text attribute ID In this modification, not only a search based on the match between the text character input by the operator and the text character itself included in each template T as used above, The above search is also performed using the “attribute ID” previously assigned to each layout frame in each template T.

  For example, in the above example, the text character “Ichiro” exists in the keyword list of FIG. 5 (see FIG. 5), but “Jiro”, “Saburo”, etc. exist in the keyword list. Not. In this case, when the above keyword search based on the text input content by the operator is executed, if the input content is “Jiro”, “Saburo”, etc., it is not extracted as a keyword matching the keyword list, The category group “Nameplate” is not counted up.

  Therefore, in this modification, a text character such as “Ichiro” is handled in a form in which an attribute ID “name” is given. The same applies to “Jiro” and “Saburo”. Such association between each text character and the attribute ID is stored in advance in, for example, the attribute ID storage unit 13b (see the two-dot chain line in FIG. 2) of the memory 13. By using this association, the CPU 12 can identify that the input of “Jiro” by the operator is an input related to the attribute ID “name” and that the corresponding category group is “Nameplate”. At that time, an attribute ID of “name” is attached to the arrangement frame of the template Ta in “Kazufumi Yano” and the arrangement frame of the template Tb in “Manami Honda”, and the correspondence The attachment is stored in the attribute ID storage unit 13b (see the two-dot chain line in FIG. 2).

  According to the above association, in the example shown in FIG. 4 above, “Jiro” is used instead of “Ichiro”, and “Jiro Ueno XX Food Sales Co., Ltd. General Affairs Department, Mizuho-ku, Nagoya, Aichi Prefecture 467-0826 Even when “Tatsumachi 1-37 TEL: 080-1234-4321” is input, two categories “Jiro” and “Department” are extracted for the category group “Nameplate” as described above, and the count number Becomes 2.

  Further, in the subsequent narrowing down of the template T in the category group “BusinessCard”, in the template Ta, the attribute ID “name” is matched and matched in addition to the matching of the above three “〒” “ku” “TEL” template keywords. The total number is 4. In the template Tb, in addition to the matching of the two “part” and “company” template keywords, the attribute ID “name” matches, and the total number of matches is three.

  In the present modification, in addition to the same effects as those in the above embodiment, the template T having a high degree of relevance with respect to the text contents input by the operator can be selected more finely and accurately by using the attribute ID. Can do.

(3) Others In the above example, the template T used when creating a label is described as an example of content, but the present invention is not limited to this. That is, images used in connection with other label creation, software such as an OS, an application, and various drivers may be the processing target of the present invention. In this case, the same effect is obtained.

  Further, in the above example, the case where the template T installed in the operation terminal 2 is the processing target of the present invention has been described as an example, but the present invention is not limited thereto. The template T installed in the label printer 3 that creates the print label L may be the processing target of the present invention as described above. In this case, the same effect is obtained.

  Also, the arrows shown in FIG. 2 show an example of the signal flow, and do not limit the signal flow direction.

  In addition, the flowchart shown in FIG. 6 does not limit the present invention to the procedure shown in the above flow, and the procedure may be added or deleted or the order may be changed without departing from the spirit and technical idea of the invention. Good.

  In addition, although not illustrated one by one, the present invention is implemented with various modifications within a range not departing from the gist thereof.

1 Template information processing system 2 Operation terminal 3 Label printer (print label production device)
12 CPU (calculation means)
14 Operation part (operation means)
17 Display section (display means)
L Print label SV Content server T Template

Claims (5)

Connected to a print label producing apparatus for producing a print label by forming a desired print object on a conveyed print medium, an operation means operable by an operator, a display means for performing a predetermined display, and For the calculation means of the operation terminal provided with the calculation means,
One category group for each of two or more object keywords that are related to each other among a plurality of object keywords set in advance for searching a plurality of templates configured by arranging a plurality of print object arrangement frames in a predetermined manner A list acquisition procedure for acquiring a keyword list in which each object keyword is associated with identification information of the category group to which the object keyword belongs,
A text information acquisition procedure for sequentially acquiring text information corresponding to the operation input in response to an operation input by the operating means sequentially performed by an operator;
A keyword extraction procedure for extracting object keywords that match the text information sequentially acquired in the text information acquisition procedure from among the plurality of object keywords included in the keyword list;
A group information acquisition procedure for acquiring identification information of the category group associated with the object keyword extracted in the keyword extraction procedure with reference to the keyword list acquired in the list acquisition procedure, and sequentially by the operator Each time an object keyword that matches the text information is extracted in the keyword extraction procedure according to the operation input performed, the count value for the category group acquired in association with the object keyword in the group information acquisition procedure A count value calculation procedure for increasing the value by a predetermined amount;
A group determination procedure for determining the category group having the largest count value in the count value calculation procedure at a predetermined timing;
A template display procedure for displaying at least one of the plurality of templates previously associated with the category group determined in the group determination procedure on the display means in a predetermined order;
Template information processing program for executing The template information processing program according to claim 1,
The group determination procedure includes:
As the predetermined timing, when the count value calculated in the count value calculation procedure for one category group reaches a predetermined threshold value, the category group has the largest count value. A template information processing program characterized by being determined as a category group. In the template information processing program according to claim 1 or 2,
The group determination procedure includes:
As the predetermined timing, when an operator performs an appropriate operation through an operation unit, a category group having the largest count value at that time is determined. In the template information processing program according to claim 2 or 3,
For the calculation means,
Among the plurality of templates previously associated with the category group determined by the group determination procedure, a plurality of template keywords associated with each template are extracted by the keyword extraction procedure. Execute the template rearrangement procedure to rearrange the templates that have a large number of matches with priority,
The template display means includes
A template information processing program for performing display on the display means in the order rearranged by the template rearrangement procedure as the predetermined order. An operation means that is connected to a print label producing apparatus for producing a print label by forming a desired print object on a conveyed print medium, and an operation means that can be operated by an operator, and a display means for performing a predetermined display A template information processing method executed by an operation terminal equipped with
One category group for each of two or more object keywords that are related to each other among a plurality of object keywords set in advance for searching a plurality of templates configured by arranging a plurality of print object arrangement frames in a predetermined manner A list acquisition procedure for acquiring a keyword list in which each object keyword is associated with identification information of the category group to which the object keyword belongs,
A text information acquisition procedure for sequentially acquiring text information corresponding to the operation input in response to an operation input by the operating means sequentially performed by an operator;
A keyword extraction procedure for extracting object keywords that match the text information sequentially acquired in the text information acquisition procedure from among the plurality of object keywords included in the keyword list;
A group information acquisition procedure for acquiring identification information of the category group associated with the object keyword extracted in the keyword extraction procedure with reference to the keyword list acquired in the list acquisition procedure, and sequentially by the operator Each time an object keyword that matches the text information is extracted in the keyword extraction procedure according to the operation input performed, the count value for the category group acquired in association with the object keyword in the group information acquisition procedure A count value calculation procedure for increasing the value by a predetermined amount;
A group determination procedure for determining the category group having the largest count value in the count value calculation procedure at a predetermined timing;
A template display procedure for displaying at least one of the plurality of templates previously associated with the category group determined in the group determination procedure on the display means in a predetermined order;
A template information processing method characterized by comprising:

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