A support device for searching figurative trademarks, a support method for searching figurative trademarks, a computer program, and a computer-readable medium.

Abstract

To provide a figure trademark search support apparatus, a figure trademark search support method, a computer program, and a computer-readable medium configured to support investigation of a figure trademark using multiple pieces of appropriate classification information, while reflecting a search viewpoint of a user.SOLUTION: A support apparatus 20 for figure trademark search includes: an input unit 21 to be used for inputting image data of a figure trademark which is a target of a search, and multiple pieces of classification information for use in the search of the figure trademark; a calculation unit 223 which calculates a matching score, for each classification information, on the basis of the image data input to the input unit 21 and reference figures corresponding to the classification information input to the input unit 21; and an acquisition unit 23 which acquires, from a trademark database 10, earlier filed trademarks including multiple pieces of classification information of which matching scores are equal to or higher than a first predetermined threshold.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present disclosure relates to a device for assisting in graphic trademark surveys, a method for assisting in graphic trademark surveys, a computer program, and a computer-readable medium storing the computer program.

Background Art

[0002] Patent Document 1 discloses a similar image search device that automatically assigns a Vienna classification code (an example of classification information) by inputting a new trademark into a learned model.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] For example, when investigating whether there are identical or similar prior trademarks for a figurative trademark intended for application, the Vienna Classification code is used for the investigation. Generally, searching for figurative trademarks using only one Vienna Classification code often results in the detection of a vast number of prior trademarks. In this case, it is undesirable because many of the detected prior trademarks may appear to be dissimilar to the figurative trademark intended for application at a glance. On the other hand, combining many Vienna Classification codes in the investigation of figurative trademarks reduces the number of prior trademarks detected. However, combining more Vienna Classification codes than necessary increases the likelihood of missing trademarks. Therefore, when conducting a figurative trademark investigation, the user should select several Vienna Classification codes that seem relevant to the figurative trademark intended for application, and then combine a few of these codes to conduct the investigation. In other words, when investigating figurative trademarks, it is necessary to use multiple Vienna Classification codes that are appropriate both in content and quantity. Furthermore, it is conceivable to conduct a figurative trademark investigation using a device that automatically assigns Vienna Classification codes, such as the device described in Patent Document 1, but it is difficult to conduct an investigation that reflects the user's investigation perspective with such a device. In particular, with such devices, internal processes such as the automatic assignment of Vienna classification codes are often black boxes, making it difficult for users to understand the perspectives from which the surveys conducted by the device were conducted.

[0005] This disclosure aims to provide a support device for figurative trademark searches, a support method for figurative trademark searches, a computer program, and a computer-readable medium that can assist in conducting searches of figurative trademarks using multiple appropriate classification information while reflecting the user's research perspective. [Means for solving the problem]

[0006] A support device for searching for figurative trademarks in one aspect for achieving the above objective is: At a minimum, an input unit for inputting image data of the figurative trademark to be investigated and multiple classification information used for the investigation of the figurative trademark, A calculation unit calculates a matching score for each classification information based on the image data input to the input unit and the reference figure corresponding to the classification information input to the input unit. The system includes an acquisition unit that acquires prior-filed trademarks from a trademark database that include multiple classification information whose matching score is equal to or greater than a first predetermined value.

[0007] Furthermore, a method for supporting a figurative trademark search in order to achieve the above objective is: A method for supporting a graphic trademark search performed by computer, At a minimum, the process involves inputting image data of the figurative trademark to be investigated and multiple classification pieces of information used for the investigation of the figurative trademark. A step of calculating a degree of agreement score for each classification information based on the input image data and the reference figure corresponding to the input classification information, The step of obtaining prior-filed trademarks from a trademark database that include multiple classification information whose matching score is equal to or greater than a first predetermined value.

[0008] Furthermore, a computer program relating to one aspect for achieving the above objective is: A computer program comprising at least one instruction executed by the processor of a support device for figurative trademark searches, When at least one of the instructions is executed by the processor, the support device shall, Based on the image data input to the input unit of the support device and the reference figures corresponding to the multiple classification information input to the input unit, a matching score is calculated for each classification information. The system retrieves prior-filed trademarks from a trademark database that include multiple classification information whose matching score is equal to or greater than a first predetermined value.

[0009] Furthermore, a computer-readable medium relating to one embodiment for achieving the above objective includes: The above computer program is stored.

[0010] According to the figurative trademark search support device described above, a degree of agreement score is calculated for each classification information based on a reference figure corresponding to multiple input classification information, and prior-filed trademarks containing multiple classification information with a degree of agreement score equal to or greater than a first predetermined value are obtained from the trademark database. In other words, the degree of agreement score calculated by the support device described above is based on multiple classification information input by the user, and the degree of agreement score for the multiple classification information used when obtaining prior-filed trademarks from the trademark database is equal to or greater than the first predetermined value. Therefore, such a figurative trademark search support device can support the search of figurative trademarks using multiple appropriate classification information while reflecting the user's search perspective. Furthermore, the information processing method, computer program, and computer-readable medium described above can achieve similar effects. [Effects of the Invention]

[0011] According to this disclosure, it is possible to provide a support device for searching figurative trademarks, a method for searching figurative trademarks, a computer program, and a computer-readable medium that can support searching figurative trademarks using multiple appropriate classification information while reflecting the user's search perspective. [Brief explanation of the drawing]

[0012] [Figure 1] Figure 1 is a block diagram of an information processing system according to one embodiment of the present disclosure. [Figure 2] Figure 2 is an example of a reference shape database. [Figure 3] Figure 3 is a flowchart illustrating the processes performed by the support device in this embodiment. [Figure 4] Figure 4 shows an example of an input screen. [Figure 5] Figure 5 illustrates the input Vienna classification codes and the matching score associated with each Vienna classification code. [Figure 6] Figure 6 illustrates a state in which display data is shown on the display unit of the support device or the display unit of the user terminal device. [Figure 7] FIG. 7 is a diagram illustrating a state in which display data is displayed on a display unit of the support device or a display unit of the user terminal device. [Figure 8] FIG. 8 is a diagram showing an example of an input screen.

MODE FOR CARRYING OUT THE INVENTION

[0013] Hereinafter, an example of an embodiment of the present disclosure will be described with reference to the drawings.

[0014] The support system 1 of the present embodiment will be described while referring to FIGS. 1 and 2. FIG. 1 is a block diagram of a support system 1 according to an embodiment of the present disclosure. The support system 1 is a support system for graphic trademark investigation. FIG. 2 is a diagram illustrating a reference graphic database 40. As illustrated in FIG. 1, the support system 1 includes a trademark database 10, a support device 20, and a user terminal device 30. The trademark database 10 and the support device 20 are communicable via, for example, the Internet or the like. The support device 20 and the user terminal device 30 are communicable by wire or wirelessly.

[0015] The trademark database 10 is, for example, the database of the Japan Patent Office, the database of the United States Patent and Trademark Office, the database of the World Intellectual Property Organization (WIPO), a commercial database provided by a service provider related to trademarks, and the like. The trademark database 10 stores application information and registration information related to trademarks in at least one country. In this embodiment, the term "country" is a concept that includes not only independent countries but also organizations consisting of multiple countries such as unrecognized countries internationally and the European Union. Further, the application information related to trademarks is, for example, information related to trademark registration applications, international registration applications, trademark registration applications, and the like. In this embodiment, the trademark registration application includes an international trademark registration application. That is, in this embodiment, the term "trademark registration application" is a concept that includes not only applications directly procedured to a predetermined office such as the patent office or trademark office of each country but also applications indirectly procedured to a predetermined office of each country by an international trademark application. For example, the database of the Japan Patent Office stores applications related to trademark registration applications made to the Japan Patent Office, trademarks corresponding to the applications and registrations, classifications, designated goods and services, similar group codes, Vienna classification codes, applicant names, right holder names, application numbers, registration numbers, application dates, registration dates, and the like. The Vienna classification code is an example of classification information.

[0016] The support device 20 includes an input unit 21, a control unit 22, an acquisition unit 23, a display unit 24, and an output unit 25. These are communicably connected to each other via a bus 26.

[0017] The input unit 21 is configured to receive user input operations to the support device 20 and to generate a request signal corresponding to said input operation. The input unit 21 is, for example, a touch panel placed on top of the display unit 24, or an input device such as a keyboard electrically connected to the support device 20. For example, the input unit 21 receives image data of the figurative trademark to be investigated and a plurality of classification information used for investigating the figurative trademark. However, the input unit 21 may also receive other information besides the image data of the figurative trademark to be investigated and the plurality of classification information used for investigating the figurative trademark. When the input unit 21 receives image data of the figurative trademark to be investigated and a plurality of classification information used for investigating the figurative trademark, the input unit 21 transmits the input image data and the plurality of classification information to the control unit 22.

[0018] The control unit 22 comprises a memory and a processor as its hardware configuration. The memory consists of, for example, a ROM (Read Only Memory) in which various computer programs are stored, and a RAM (Random Access Memory) having multiple work areas in which various computer programs executed by the processor are stored. The processor is, for example, a CPU (Central Processing Unit) which is configured to load a specified computer program from the various computer programs embedded in the ROM onto the RAM and execute various processes in cooperation with the RAM. The control unit 22 comprises a storage unit 221, a specification unit 222, a calculation unit 223, a determination unit 224, and a generation unit 225.

[0019] In this embodiment, computer-readable media may be used. Computer-readable media refers to any type of physical memory (RAM, ROM, etc.) that can store information and data that a processor can read. Computer-readable media can store instructions related to processing performed by one or more processors. The term "computer-readable media" includes tangible items but excludes carrier waves and temporary signals (i.e., it refers to non-temporary items). Examples of non-temporary computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memory (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs).

[0020] The memory unit 221 stores reference figures associated with each classification information. In this embodiment, the memory unit 221 stores a reference figure database 40 illustrated in Figure 2. The reference figures can be arbitrarily set by the user, as long as they are figures corresponding to the Vienna Classification code. In other words, the reference figures are not figures corresponding to the Vienna Classification code actually assigned to trademarks filed by designated offices such as patent offices and trademark offices of each country, but rather figures arbitrarily set by the user. The dimensions, orientation, size, etc. of the reference figures set by the user are arbitrary. Furthermore, the term "user" here does not include designated offices such as patent offices and trademark offices of each country, or service providers related to trademarks. Therefore, in this embodiment, the reference figures are not set by designated offices such as patent offices and trademark offices of each country, or service providers related to trademarks. Moreover, the reference figures do not have to be set based on the Vienna Classification code actually assigned to trademarks filed. Furthermore, the reference figures may be figures that include only graphic elements linked to only one Vienna Classification code (an example of classification information). The simpler the composition of a figure, the fewer Vienna classification codes tend to be assigned to that figure. For this reason, a trademark consisting only of a figure containing only one Vienna classification code is likely to be considered an extremely simple and commonplace trademark. Since trademarks consisting only of extremely simple and commonplace marks lack distinctiveness, a figure containing only one Vienna classification code containing only one Vienna classification code is highly likely to be a figure lacking distinctiveness. In this embodiment, the reference figure corresponding to Vienna classification code 1.7.6 is, for example, figure D1 in area R1 of Figure 2. Figure D1 is a crescent-shaped figure. For the sake of explanation, only one reference figure corresponding to each Vienna classification code is shown in Figure 2, but there may be multiple reference figures corresponding to each Vienna classification code.

[0021] The classification information is, for example, the Vienna Classification Code. In this embodiment, the classification information includes major classifications, medium classifications, and minor classifications. However, the classification information only needs to include major classifications, and may not include, for example, medium classifications and minor classifications. For example, if the classification information is the Vienna Classification Code, the Vienna Classification Code has a tree structure of major classifications, medium classifications, and minor classifications, consisting of 29, 144, and 1887 classifications, respectively. For example, Major classification 1 is a classification related to celestial bodies, natural phenomena, and maps. Medium classification 1.7 is a classification related to the moon. Minor classification 1.7.6 is a classification related to crescent moons and half moons.

[0022] Returning to Figure 1, let's explain the identification unit 222. The identification unit 222 identifies a reference figure corresponding to each of the multiple classification information input into the input unit 21. For example, if the Vienna classification code 1.7.6 is input into the input unit 21, the identification unit 222 identifies the reference figure (figure D1) within area R1. If there are multiple reference figures corresponding to the Vienna classification code input into the input unit 21 (for example, if there are multiple reference figures within area R1), the identification unit 222 identifies these multiple reference figures.

[0023] The calculation unit 223 calculates a degree of agreement score for each input classification information based on the image data input to the input unit 21 and the reference figure corresponding to the classification information input to the input unit 21. The calculation unit 223 searches for a figure that is identical to the reference figure (hereinafter also referred to as "identical figure") or a figure that is similar to the reference figure (hereinafter also referred to as "similar figure") from among the figurative trademarks related to the image data input to the input unit 21. In this embodiment, an identical figure is a figure with a 100% agreement rate with the reference figure, and a similar figure is a figure with an agreement rate of 20% or more and less than 100% with the reference figure. However, the definition of a similar figure is not limited to this. For example, a figure with an agreement rate of 50% or more and less than 100% with the reference figure may be defined as a similar figure. The calculation unit 223 calculates a degree of agreement score for each input classification information based on the agreement rate between the searched identical or similar figure and the reference figure. The degree of agreement score is an index that shows the degree of agreement between all or part of the figurative trademark related to the image data input to the input unit 21 and the reference figure. For example, if both are identical (i.e., the agreement rate is 100%), the agreement score is 100. If the agreement rate is 50%, the agreement score is 50. Thus, the more similar the two are (i.e., the higher the agreement rate), the higher the agreement score.

[0024] The determination unit 224 determines a combination of classification information using multiple classification information whose matching score calculated by the calculation unit 223 is equal to or greater than a first predetermined value. In this embodiment, the first predetermined value is 50. However, the first predetermined value may be between 0 and 100, and is not limited to 50. The determination unit 224 combines two or more Vienna classification codes that belong to different major classifications. In other words, the determination unit 224 does not combine Vienna classification codes that belong to the same major classification, such as Vienna classification code 26.3.2 and Vienna classification code 26.3.2. The determination unit 224 transmits the determined combination of classification information to the acquisition unit 23.

[0025] The acquisition unit 23 acquires prior-filed trademarks from the trademark database 10 that include multiple classification information with a matching score equal to or greater than a first predetermined value, based on the combination received from the determination unit 224. The acquisition unit 23 transmits the acquired prior-filed trademark information to the generation unit 225. The prior-filed trademark information includes at least the application number, registration number, and Vienna Classification code related to the prior-filed trademark. However, the prior-filed trademark information may also include other information such as the trademark, class, designated goods and services, similarity group code, applicant name, right holder name, application date, registration date, and status related to the prior-filed trademark. In this embodiment, the prior-filed trademark information includes the applicant name, right holder name, application number, registration number, trademark, and Vienna Classification code related to the prior-filed trademark.

[0026] The generation unit 225 generates similarity information for each prior trademark acquired by the acquisition unit 23, based on the classification information (in this embodiment, the Vienna Classification code) included in the prior trademark acquired by the acquisition unit 23 from among the multiple classification information input to the input unit 21. In other words, the generation unit 225 generates similarity information for each prior trademark acquired by the acquisition unit 23, based on the multiple classification information included in the combination used by the acquisition unit 23 when acquiring the prior trademark. In this embodiment, the generation unit 225 generates similarity information based only on the degree of agreement score related to the classification information for which a degree of agreement score has been calculated. As an example, similarity information related to a prior trademark acquired by the acquisition unit 23 based on a combination consisting of Vienna Classification code 1.7.6 and Vienna Classification code 23.1.5 will be described. In this case, the similarity score for Vienna Classification code 1.7.6 is assumed to be 80, and the similarity score for Vienna Classification code 23.1.5 is assumed to be 50. In this case, the generation unit 225 generates similarity information indicating that the similarity between the acquired prior trademark and the figurative trademark under investigation is 65 (=(80+50) / 2). Thus, the similarity in this embodiment is the average value of multiple similarity scores related to multiple classification information included in the combination used by the acquisition unit 23 when acquiring the prior trademark. However, the similarity is not limited to the average value of multiple similarity scores related to multiple classification information included in the combination used by the acquisition unit 23 when acquiring the prior trademark. In this embodiment, the generation unit 225 generates similarity information without considering the similarity of the designated goods and services. This is because, for example, the designated goods and services are not necessarily determined at the stage of the pre-filing search. However, the generation unit 225 may also consider the similarity of the designated goods and services when generating similarity information.

[0027] The generation unit 225 generates display data based on the prior trademark information received from the acquisition unit 23 and the similarity information generated by the generation unit 225. The display data generated by the generation unit 225 includes the prior trademark related to the prior trademark information received from the acquisition unit 23 and the similarity related to said prior trademark. The generation unit 225 transmits the generated display data to the display unit 24 or the output unit 25.

[0028] The display unit 24 is, for example, a touchscreen type display such as a liquid crystal display or an organic EL display. The display unit 24 is configured to display display data received from the generation unit 225, for example.

[0029] The output unit 25 outputs the display data received from the generation unit 225 to the user terminal device 30.

[0030] The user terminal device 30 is a terminal device operated by the user of the support device 20. The user terminal device 30 is an electronic device such as a desktop PC, notebook PC, tablet terminal, or smartphone. The user terminal device 30 is equipped with a display unit 31. The display unit 31 is, for example, a liquid crystal display. The display unit 31 is configured to display display data output from the output unit 25, for example.

[0031] Next, with reference to Figures 3 to 6, the processing related to the method of supporting a figurative trademark search performed by the support device 20 will be described. In order to make it easier for the user's search perspective to be reflected in the search of figurative trademarks, the reference figure in this embodiment is a figure arbitrarily set by the user. Furthermore, in order to clarify the search perspective for the search of figurative trademarks, the reference figure in this embodiment is a figure that includes only figurative elements that are linked to only one classification information (Vienna Classification Code). Figure 3 is a flowchart illustrating the processing performed by the support device 20 in this embodiment.

[0032] As illustrated in Figure 3, the user inputs image data of the figurative trademark to be investigated and multiple classification information into the input unit 21 (STEP 01). Here, Figure 4 shows an example of the input screen in this embodiment. As illustrated in Figure 4, in this embodiment, the user inputs image data of the figurative trademark 100 and multiple classification information (Vienna classification codes 1.7.6, 23.1.5, 26.3.2, 26.4.2, and 26.4.3). The figurative trademark 100 includes a crescent moon shape 110 and a rhombus shape 120. The rhombus shape 120 includes a first triangular shape 121 and a second triangular shape 122. The input unit 21 transmits the input image data and multiple classification information to the control unit 22.

[0033] As illustrated in Figure 3, the identification unit 222 identifies a reference figure corresponding to the multiple classification information received from the input unit 21 for each classification information (STEP 02). In this embodiment, since Vienna classification codes 1.7.6, 23.1.5, 26.3.2, 26.4.2, and 26.4.3 are input to the input unit 21, the identification unit 222 identifies a reference figure corresponding to these Vienna classification codes (for example, figure D1 as illustrated in Figure 2) for each Vienna classification code. If there are multiple reference figures corresponding to the classification information (Vienna classification codes) input to the input unit 21, the identification unit 222 identifies multiple reference figures.

[0034] As illustrated in Figure 3, the calculation unit 223 calculates a matching score for each classification information input to the input unit 21 based on the image data input to the input unit 21 and the reference figures identified by the identification unit 222 (STEP 03). If multiple reference figures are identified for a single classification information, the calculation unit 223 calculates a matching score for each reference figure and calculates the highest matching score among them as the matching score corresponding to that classification information.

[0035] For example, in the case of Vienna Classification code 1.7.6, the calculation unit 223 searches for the moon figure 110 among the figurative trademarks 100. The calculation unit 223 compares the moon figure 110 with figure D1 and determines the degree of similarity in the external shapes of the moon figure 110 and figure D1. In this embodiment, the degree of similarity between the moon figure 110 and figure D1 is assumed to be 80%. Since the degree of similarity between the moon figure 110 and figure D1 is 80%, the moon figure 110 is an approximate figure. As illustrated in Figure 5, the calculation unit 223 calculates a similarity score of 80 as the similarity score for Vienna Classification code 1.7.6.

[0036] Furthermore, for example, when describing Vienna Classification code 26.3.2, the calculation unit 223 searches for a rhombus figure 120 that includes the first triangular figure 121 and the second triangular figure 122 from among the figurative trademark 100. The calculation unit 223 compares the rhombus figure 120 with figure D3 (see Figure 2) and determines the degree of agreement between the external shapes of the rhombus figure 120 and figure D3. In this embodiment, the degree of agreement between the rhombus figure 120 and figure D3 is assumed to be 90%. Since the degree of agreement between the rhombus figure 120 and figure D3 is 90%, the rhombus figure 120 is an approximate figure. As illustrated in Figure 5, the calculation unit 223 calculates a degree of agreement score of 90 as the degree of agreement score for Vienna Classification code 26.3.2. Using a similar principle, the calculation unit 223 also calculates the degree of agreement scores for Vienna Classification codes 23.1.5, 26.4.2, and 26.4.3. In this embodiment, the degree of agreement score for Vienna classification code 23.1.5 is 50. The degree of agreement score for Vienna classification code 26.4.2 is 40. The degree of agreement score for Vienna classification code 26.4.3 is 60. The calculation unit 223 transmits the calculated degree of agreement score to the determination unit 224.

[0037] As illustrated in Figure 3, the determination unit 224 determines a combination using multiple classification information whose matching score is equal to or greater than a first predetermined value (STEP 04). In this embodiment, the determination unit 224 determines a combination consisting of two classification information (Vienna classification codes). In this embodiment, the first predetermined value is 50, so the determination unit 224 determines a combination using Vienna classification codes 1.7.6, 23.1.5, 26.3.2, and 26.4.3. The determination unit 224 also combines multiple Vienna classification codes that belong to different major classifications. Therefore, the combinations in this embodiment are the combination of Vienna classification code 1.7.6 and Vienna classification code 23.1.5, the combination of Vienna classification code 1.7.6 and Vienna classification code 26.3.2, the combination of Vienna classification code 1.7.6 and Vienna classification code 26.4.3, the combination of Vienna classification code 23.1.5 and Vienna classification code 26.3.2, and the combination of Vienna classification code 23.1.5 and Vienna classification code 26.4.3. The determination unit 224 transmits the determined combination of Vienna classification codes to the acquisition unit 23.

[0038] The acquisition unit 23 acquires prior-filed trademarks containing the Vienna Classification code for each combination from the trademark database 10 based on the combination of Vienna Classification codes received from the determination unit 224 (STEP 05). For example, when the acquisition unit 23 acquires prior-filed trademarks from the Japan Patent Office database based on the combination of Vienna Classification code 1.7.6 and Vienna Classification code 26.3.2, it acquires prior-filed trademarks containing both Vienna Classification code 1.7.6 and Vienna Classification code 26.3.2 from among the prior-filed trademarks stored in the Japan Patent Office database. The acquisition unit 23 transmits the prior-filed trademark information relating to the acquired prior-filed trademarks to the generation unit 225.

[0039] The generation unit 225 generates similarity information for each prior trademark acquired by the acquisition unit 23, based on the Vienna Classification code (an example of classification information) included in the prior trademark information received from the acquisition unit 23 (STEP 06). For example, for a prior trademark acquired based on a combination of Vienna Classification code 1.7.6 and Vienna Classification code 26.3.2, the generation unit 225 generates similarity information indicating that the similarity to the said prior trademark is 85 (=(80+90) / 2).

[0040] The generation unit 225 generates display data that includes the prior trademarks acquired by the acquisition unit 23 and the similarity scores related to the prior trademarks acquired by the acquisition unit 23, based on the prior trademark information received from the acquisition unit 23 and the generated similarity information (STEP 07). The generation unit 225 transmits the generated display data to the display unit 24 or the output unit 25. When the generation unit 225 transmits the display data to the output unit 25, the output unit 25 outputs the display data received from the generation unit 225 to the user terminal device 30.

[0041] When display data is transmitted to the display unit 24 or output to the user terminal device 30, the display data is displayed on the display unit 24 of the support device 20 or the display unit 31 of the user terminal device 30 (STEP 08). As illustrated in Figure 6, in this embodiment, the display data is displayed in a list format on the display unit 24 of the support device 20 or the display unit 31 of the user terminal device 30. The list illustrated in Figure 6 includes three prior-filed trademarks. In the list illustrated in Figure 6, the application number or registration number of the prior-filed trademark, the applicant or right holder, the trademark, the Vienna Classification code, and the similarity are displayed, but for example, only some of these may be displayed, or other information (e.g., classification) may be displayed in addition to these. By viewing the display data displayed on the display unit 24 of the support device 20 or the display unit 31 of the user terminal device 30, the user can quickly confirm prior-filed trademarks that may be identical or similar to the figurative trademark under investigation.

[0042] For example, when investigating whether there are any identical or similar prior trademarks for a figurative trademark that is intended for application, the Vienna Classification code is used to conduct the investigation. Generally, if a figurative trademark is investigated using only one Vienna Classification code, a huge number of prior trademarks are often detected. In this case, it is undesirable because many of the detected prior trademarks may appear to be dissimilar to the figurative trademark intended for application. On the other hand, if a figurative trademark is investigated using a combination of many Vienna Classification codes, the number of prior trademarks detected will decrease. However, if an investigation is conducted using more Vienna Classification codes than necessary, the possibility of missing any trademarks increases. Therefore, when investigating a figurative trademark, the user should select several Vienna Classification codes that are thought to be relevant to the figurative trademark intended for application, and then combine a few (for example, two) of these codes to conduct the investigation. In other words, when investigating a figurative trademark, it is necessary to use multiple Vienna Classification codes that are appropriate both in content and quantity. Furthermore, it is conceivable to conduct a search for figurative trademarks using a device that automatically assigns Vienna Classification codes simply by inputting image data related to the figurative trademark to be filed. However, such a device makes it difficult to conduct a search that reflects the user's search perspective. In particular, the internal processing, such as the automatic assignment of Vienna Classification codes, is often a black box in such devices, making it difficult for the user to understand what perspective the search conducted by the device was based on.

[0043] According to the figurative trademark search support device 20 with the above configuration, a degree of agreement score is calculated for each classification information based on a reference figure corresponding to the multiple classification information input, and prior-filed trademarks containing multiple classification information with a degree of agreement score of first predetermined value or higher are obtained from the trademark database 10. In other words, the degree of agreement score calculated by the support device 20 is based on multiple classification information input by the user, and the degree of agreement score for the multiple classification information used when obtaining prior-filed trademarks from the trademark database 10 is first predetermined value or higher. Therefore, the support device 20 can support the search of figurative trademarks using multiple appropriate classification information while reflecting the user's search perspective. Furthermore, the information processing method, computer program, and computer-readable medium with the above configuration can achieve the same effect as the support device 20.

[0044] Furthermore, according to the figurative trademark search support device 20 with the above configuration, the reference figure is a figure that contains only figurative elements linked to only one classification information. Therefore, there is only one classification information (Vienna Classification code) linked to the reference figure, and multiple classification information is not linked to it. For this reason, the support device 20 can assist in conducting figurative trademark searches from a clear search perspective.

[0045] Furthermore, according to the figurative trademark search support device 20 with the above configuration, the reference figurative figure is a figurative figure arbitrarily set by the user, and therefore does not have to be set based on the Vienna Classification code actually assigned to the trademark that was filed. For this reason, the support device 20 can assist in conducting a search that reflects the user's search perspective.

[0046] Furthermore, according to the figurative trademark search support device 20 with the above configuration, the calculation unit 223 generates similarity information indicating the degree of similarity between the figurative trademark and the figurative trademark acquired by the acquisition unit 23, based on the multiple classification information included in the prior trademark acquired by the acquisition unit 23 from among the multiple classification information input to the input unit 21. Therefore, by using the similarity information, the user can intuitively recognize prior trademarks that are highly likely to be identical or similar to the figurative trademark under investigation.

[0047] Furthermore, according to the figurative trademark search support device 20 with the above configuration, the acquisition unit 23 acquires prior trademarks that include two classification information sets with a similarity score of a first predetermined value or higher. Generally, if only one classification information set is used for searching figurative trademarks, the number of prior trademarks acquired will be enormous, which is undesirable. However, if there is too much classification information set for searching figurative trademarks, there is a risk of missing trademarks in the search. In this embodiment, taking these circumstances into consideration, the acquisition unit 23 is configured to acquire prior trademarks that include two classification information sets with a similarity score of a first predetermined value or higher. Therefore, the support device 20 can suppress both the risk of acquiring an enormous number of prior trademarks, including those that appear dissimilar at a glance, and the risk of missing trademarks in the search.

[0048] Furthermore, according to the figurative trademark search support device 20 with the above configuration, the acquisition unit 23 acquires prior-filed trademarks from the trademark database 10 that include multiple classification information with different major classifications. Therefore, the support device 20 can assist in conducting a figurative trademark search using more appropriate multiple classification information.

[0049] Furthermore, the figurative trademark search support device 20 according to the above configuration includes a storage unit 221 that stores reference figures associated with each classification information. The calculation unit 223 calculates a degree of agreement score for each classification information based on the image data input to the input unit 21 and the reference figures stored in the storage unit 221 that correspond to the classification information input to the input unit 21. Therefore, the support device 20 can assist in searching for figurative trademarks even if reference figures are not input to the input unit 21, as long as image data of the figurative trademark to be searched and multiple classification information are input to the input unit 21. Thus, the support device 20 can reduce the input burden on the user.

[0050] The embodiments described above are provided to facilitate understanding of this disclosure and do not limit it. This disclosure may be modified or improved without departing from its intent.

[0051] In this embodiment, the display data generated by the generation unit 225 includes all prior trademarks acquired by the acquisition unit 23, but may also include only prior trademarks with a similarity of a second predetermined value or higher. Therefore, in this case, the similarity of the prior trademarks included in the display data generated by the generation unit 225 is a second predetermined value or higher. The second predetermined value is, for example, 60. However, it goes without saying that the second predetermined value is not limited to 60. When the second predetermined value is 60, the display data illustrated in Figure 7 is displayed on the display unit 24 of the support device 20 or the display unit 31 of the user terminal device 30. The display data illustrated in Figure 7 differs from the display data illustrated in Figure 6 in that it does not display the prior trademark related to trademark registration No. 3452689, which has a similarity of 55. Thus, in this example, the generation unit 225 generates display data that includes only prior trademarks with a similarity of a second predetermined value or higher. Therefore, the display data generated by the generation unit 225 includes only prior-filed trademarks that have a reasonably high degree of similarity to the figurative trademark under investigation, i.e., prior-filed trademarks that require careful verification. Consequently, with such a support device 20, the user only needs to check prior-filed trademarks that have a reasonably high degree of similarity to the figurative trademark under investigation, thereby reducing the burden on the user when checking acquired prior-filed trademarks and enabling the user to efficiently check acquired prior-filed trademarks.

[0052] In this embodiment, the input unit 21 receives image data of the figurative trademark to be investigated and multiple classification information. However, as illustrated in Figure 8, the input unit 21 may also receive image data, multiple classification information, and a reference figure corresponding to the classification information. In other words, in STEP 01 illustrated in Figure 3, the user may input image data of the figurative trademark to be investigated, multiple classification information, and a reference figure corresponding to the classification information into the input unit 21. In this case, the calculation unit 223 calculates a matching score for each classification information based on the image data and reference figures input into the input unit 21. Therefore, even if the reference figure database 40 is not stored in the storage unit 221, the support device 20 can assist in investigating figurative trademarks using multiple appropriate classification information while reflecting the user's investigation perspective.

[0053] In the above embodiment, the list illustrated in Figure 6 includes three prior-filed trademarks, but the number of prior-filed trademarks included in the list may be less than three or four or more.

[0054] In the above embodiment, an example using the Vienna Classification Code as classification information was described, but classification information other than the Vienna Classification Code may also be used.

[0055] In the above embodiment, the determination unit 224 determines a combination consisting of two Vienna classification codes, but the determination unit 224 may determine a combination consisting of three or more Vienna classification codes.

[0056] In the above embodiment, the generation unit 225 generates similarity information indicating the degree of similarity between the prior-filed trademark acquired by the acquisition unit 23 and the figurative trademark under investigation, but it is not necessary to generate similarity information.

[0057] In the above embodiment, the acquisition unit 23 acquires prior-filed trademarks containing multiple classification information of different major categories from the trademark database 10, but it may also acquire prior-filed trademarks containing multiple classification information of the same major category from the trademark database 10.

[0058] In the above embodiment, the support device 20 may include a storage device 27, as shown by the dashed line in Figure 1. The storage device 27 is, for example, a storage device such as an HDD (Hard Disk Drive), SSD (Solid State Drive), or flash memory. The storage device 27 is configured to store programs and various data, and may store the reference graphic database 40. When the reference graphic database 40 is stored in the storage device 27, the storage device 27 is an example of a storage unit. In this case, the reference graphic database 40 does not need to be stored in the storage unit 221. The reference graphic database 40 may also be stored in an external database. In this case, the support device 20 obtains multiple reference graphics corresponding to multiple classification information input to the input unit 21 from the external database.

[0059] In the above embodiment, the reference figure is a figure arbitrarily set by the user, but it may also be a figure set by a party other than the user. A party other than the user is, for example, a service provider related to trademarks. In this case as well, it is preferable that the reference figure be set by a party other than the designated government office such as the patent office or trademark office of each country.

[0060] In the above embodiment, the reference figure is a figure that includes only a graphic element linked to only one classification piece of information, but it may also be a figure that includes graphic elements linked to two or more classification pieces of information.

[0061] In the above embodiment, the acquisition unit 23 acquires the prior-filed trademark from the database of the Japan Patent Office, but it may also acquire the prior-filed trademark from other trademark databases such as the database of the United States Patent and Trademark Office.

[0062] As explained above, the following matters are disclosed in this specification: (1) An input unit for inputting at least image data of the figurative trademark to be investigated and a plurality of classification information used for the investigation of the figurative trademark, A calculation unit calculates a matching score for each classification information based on the image data input to the input unit and the reference figure corresponding to the classification information input to the input unit. A support device for figurative trademark searches, comprising: an acquisition unit that acquires prior-filed trademarks from a trademark database that include multiple classification information whose matching score is equal to or greater than a first predetermined value; and an acquisition unit that acquires prior-filed trademarks including multiple classification information whose matching score is equal to or greater than a first predetermined value. (2) The reference figure is a figure that includes only one graphic element associated with the classification information, as described in (1), a support device for searching graphic trademarks. (3) The reference figure is a figure arbitrarily set by the user, as described in (1) or (2), a support device for searching for a figure trademark. (4) A support device for searching for figurative trademarks according to any one of (1) to (3), further comprising a generation unit that generates similarity information indicating the degree of similarity between the prior trademark acquired by the acquisition unit and the figurative trademark, based on a plurality of classification pieces of information included in the prior trademark acquired by the acquisition unit from among the plurality of classification pieces of information input into the input unit. (5) The generation unit generates display data including the prior trademark and the similarity to the prior trademark, The aforementioned similarity is equal to or greater than the second predetermined value, a support device for searching figurative trademarks as described in (4). (6) The acquisition unit acquires from the trademark database two prior-filed trademarks that include the classification information, the matching score being equal to or greater than the first predetermined value, the support device for figurative trademark searches according to any one of (1) to (5). (7) The classification information includes at least a major classification, The acquisition unit acquires the prior-filed trademarks, which include multiple classification information of different major classifications, from a trademark database, as a support device for figurative trademark searches according to any one of (1) to (6). (8) The system further comprises a storage unit in which the reference figures associated with each classification information are stored, The calculation unit calculates the degree of agreement score for each piece of classification information based on the image data input to the input unit and the reference figure stored in the storage unit corresponding to the classification information input to the input unit, the support device for searching a graphic trademark according to any one of (1) to (7). (9) The input unit receives the image data, a plurality of classification information, and the reference figure corresponding to the classification information, The calculation unit calculates the degree of agreement score for each classification information based on the image data input to the input unit and the reference figure input to the input unit, as described in any one of (1) to (7). (10) A method for supporting a figurative trademark search performed by computer, At a minimum, the process involves inputting image data of the figurative trademark to be investigated and multiple classification pieces of information used for the investigation of the figurative trademark. A step of calculating a degree of agreement score for each classification information based on the input image data and the reference figure corresponding to the input classification information, A method for supporting a figurative trademark search, comprising the step of obtaining from a trademark database prior trademarks that include multiple classification information whose matching score is equal to or greater than a first predetermined value. (11) A computer program comprising at least one instruction executed by the processor of a support device for figurative trademark searches, When at least one of the instructions is executed by the processor, the support device shall, Based on the image data input to the input unit of the support device and the reference figures corresponding to the multiple classification information input to the input unit, a matching score is calculated for each classification information. A computer program that retrieves prior-filed trademarks from a trademark database, which include multiple classification information items whose matching score is equal to or greater than a first predetermined value. (12) A computer-readable medium on which the computer programs described in (11) are stored. [Explanation of Symbols]

[0063] 1: Support System 10: Trademark Database 20: Support device 21: Input section 22: Control Unit 23: Acquisition Department 24: Display section 25: Output section 26: Bus 27: Storage device 30: User terminal device 31: Display section 221: Storage section 222: Specific part 223: Calculation Unit 224: Decision Section 225: Generation part

Claims

1. At a minimum, an input unit for inputting image data of the figurative trademark to be investigated and multiple classification information used for the investigation of the figurative trademark, A calculation unit calculates a matching score for each classification information based on the image data input to the input unit and a reference figure corresponding to the classification information input to the input unit. A support device for figurative trademark searches, comprising: an acquisition unit that acquires prior-filed trademarks from a trademark database that include multiple classification information whose matching score is equal to or greater than a first predetermined value.

2. The support device for searching for a graphic trademark according to claim 1, wherein the reference figure is a figure that includes only graphic elements that are linked to only one of the classification pieces of information.

3. The reference figure is a figure arbitrarily set by the user, as described in claim 1 or claim 2, for the support device for searching for a figure trademark.

4. The support device for searching for figurative trademarks according to claim 1 or 2, further comprising a generation unit that generates similarity information indicating the degree of similarity between the prior trademark acquired by the acquisition unit and the figurative trademark, based on a plurality of classification pieces of classification information included in the prior trademark acquired by the acquisition unit from among a plurality of classification pieces of classification information input to the input unit, for each prior trademark acquired by the acquisition unit.

5. The generation unit generates display data including the prior trademark and the similarity to the prior trademark. The support device for searching for figurative trademarks according to claim 4, wherein the similarity is equal to or greater than a second predetermined value.

6. The acquisition unit acquires from a trademark database prior-filed trademarks that include two classification information items whose matching score is equal to or greater than the first predetermined value, the support device for searching figurative trademarks according to claim 1 or 2.

7. The aforementioned classification information includes at least a major category, The acquisition unit acquires from a trademark database the prior-filed trademarks, which include a plurality of classification information with different major classifications, according to the support device for figurative trademark searches according to claim 1 or 2.

8. The system further comprises a storage unit in which the reference figures associated with each of the classification information are stored. The calculation unit calculates the degree of agreement score for each classification information based on the image data input to the input unit and the reference figure stored in the storage unit corresponding to the classification information input to the input unit, as described in claim 1 or claim 2, for a support device for searching a graphic trademark.

9. The input unit receives the image data, a plurality of classification pieces, and a reference figure corresponding to the classification piece. The calculation unit calculates the degree of matching score for each classification information based on the image data input to the input unit and the reference figure input to the input unit, as described in claim 1 or claim 2, for the graphic trademark search support device.

10. A method for supporting a graphic trademark search performed by computer, At a minimum, the process involves inputting image data of the figurative trademark to be investigated and multiple classification pieces of information used for the investigation of the figurative trademark. A step of calculating a degree of agreement score for each classification information based on the input image data and the reference figure corresponding to the input classification information, A method for supporting a figurative trademark search, comprising the step of obtaining from a trademark database prior trademarks that include multiple classification information whose matching score is equal to or greater than a first predetermined value.

11. A computer program comprising at least one instruction executed by the processor of a support device for figurative trademark searches, When at least one of the instructions is executed by the processor, the support device shall, Based on the image data input to the input unit of the support device and the reference figures corresponding to the multiple classification information input to the input unit, a matching score is calculated for each classification information. A computer program that retrieves prior-filed trademarks from a trademark database, which include multiple classification information items whose matching score is equal to or greater than a first predetermined value.

12. A computer-readable medium storing the computer program described in claim 11.

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