JP2024010748A - Search support system, information processing apparatus, method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system, an apparatus, a method, and a program that allow a search in a specific management destination.

SOLUTION: A search support system supports a search of information, and the system includes: a first receiving unit 60 that receives designation of a management destination managing the information; an extraction unit 61 that extracts one or more keywords from character strings acquired from an output source outputting the character strings; a second receiving unit 62 that receives selection of one keyword from the extracted one or more keywords; and a transmission unit 63 that transmits an instruction to execute the search and the selected keywords to a designated company's own tool 41.

SELECTED DRAWING: Figure 5

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to a system, an information processing device, a method, and a program that support information searching.

In recent years, communication tools such as Microsoft Teams (registered trademark) have become popular as tools for having conversations with people who are located far away. Microsoft Teams (registered trademark) is equipped with a speech recognition tool that converts input speech into character strings (text). Therefore, even if an unfamiliar term comes up during a conversation, converting it to text and displaying it can prevent you from missing it.

When an unknown term appears in a text, it is necessary to extract a specific keyword from the text when searching for the unknown term as a keyword, but voice recognition tools do not have the ability to extract specific keywords. I haven't. Therefore, in order to search for specific keywords in the text converted from speech, the user had to extract the specific keywords from the text himself. Although it is not text converted from speech, techniques for extracting specific keywords from character strings are already known (for example, see Patent Documents 1 to 3).

The keyword is Yahoo! (registered trademark), Google (registered trademark), and other search engines. Conventionally, a technique for selecting an optimal search engine for the purpose of optimizing a search has been known (for example, see Patent Document 4).

In organizations such as companies, answers and hints for problems encountered during activities are often compiled and managed within the organization. If the information you want to investigate is within a specific management location such as an organization, it is necessary to search for information managed by the specific management location, but with the above conventional technology, the search target does not include a specific management location. Because it was not included, it was not possible to search for information managed by a specific management destination.

The present invention solves the above-mentioned problems, and aims to provide a system, device, method, and program that make it possible to search for information managed by a specific management destination.

According to the present invention, there is provided a system for supporting information retrieval, comprising:
a first reception means for accepting the designation of a management destination that manages the information;
Extracting means for extracting one or more keywords from the character string obtained from the character string output source;
input reception means for accepting selection of one keyword from the one or more extracted keywords;
A search support system is provided that includes a transmitting means for transmitting a search execution instruction and a selected keyword to a specified management destination.

According to the present invention, it is possible to search for information managed by a specific management destination.

FIG. 1 is a diagram showing a configuration example of an information processing system. FIG. 1 is a diagram showing an example of a hardware configuration of an information processing device. FIG. 2 is a diagram illustrating an outline of the process from starting up the search support system to displaying search results. The figure which showed an example of the screen for specifying an in-house tool. FIG. 1 is a block diagram showing a first configuration example of a search support system. The figure which showed an example of the screen which displayed the text converted by the speech recognition tool. 2 is a flowchart showing a first example of processing from starting the search support system to displaying search results. The figure which showed an example of the screen which displayed the list of keywords. The figure which showed an example of the screen when one keyword is selected from the list of keywords. The figure which showed an example of the screen which displayed the search result. FIG. 3 is a block diagram showing a second configuration example of the search support system. The figure which showed an example of the screen displayed on a display part at the time of linking between tools and authentication. 7 is a flowchart showing a second example of processing from starting the search support tool to displaying search results. The figure showing another example of composition of an information processing system.

The present invention will be described below with reference to embodiments, but the present invention is not limited to the embodiments described below.

FIG. 1 is a diagram showing an example of the configuration of an information processing system. The information processing system is a system for having a conversation with a person located at a remote location, and includes at least two PCs (Personal Computers) 10 and 11 as information processing devices, and a network 12 that connects the PCs 10 and 11.

The PCs 10 and 11 may be notebook PCs, desktop PCs, wearable PCs, or the like. The PCs 10 and 11 are equipped with at least a microphone as an audio input means and a speaker as an audio output means to enable conversation between users. The PCs 10 and 11 can be equipped with a camera as an imaging device to enable conversation while looking at the other party's face. Note that any device that is equipped with at least a microphone and a speaker and that can communicate via the network 12 is not limited to the PCs 10 and 11, but may also be a mobile phone, a smartphone, a tablet terminal, a game console, or a PDA (Personal Digital Assistant). etc. may be used.

The network 12 may be wired or wireless, and may be a LAN (Local Area Network), a WAN (Wide Area Network), or the Internet. Further, the network 12 is not limited to one network, but may be composed of two or more networks connected by a relay device such as a router.

A communication tool such as Microsoft Teams (registered trademark) is installed in the PCs 10 and 11 as a tool for mutual conversation. Communication tools include voice recognition tools. Speech recognition tools have the ability to convert speech during a conversation into character strings (text) in real time. Therefore, even if a term that you do not understand comes up during a conversation, it will be displayed in text, making it possible to prevent you from missing it.

If an unknown term in a conversation appears in the converted text, the user can extract the term and enter it into a general-purpose search engine to search and find out its meaning. Search engines include Google (registered trademark) and Yahoo! (registered trademark), Bing (registered trademark), etc. can be used.

As mentioned above, the technology of dividing text into parts of characters or character strings and generating keywords for use in searches is already known, and if this technology is used, it is possible to automatically extract keywords. By selecting one of the extracted keywords, the user can search for information related to that keyword.

By the way, there are many cases in organizations such as companies that when they encounter a problem during their business activities, they compile answers, hints, etc., and manage this information within the organization. An organization is a group with a common purpose, such as a company, department, local government, or union. Information within an organization can be managed using an information management tool, and if the organization is a company, an in-house tool or an in-house tool is used as the information management tool. The information management tool will be explained below as an in-house tool.

If the information related to the keyword selected by the user is among the information managed by the company's tool, it is necessary to search within the company's tool. Until now, it was not possible to link voice recognition tools with in-house tools, and when searching within an in-house tool, the user had to launch the in-house tool, enter a keyword, and press the search button. I needed to do it.

However, with this information processing system, it is possible to specify the in-house tool, and the voice recognition tool and the in-house tool can be linked, so the user can simply select one of the extracted keywords and the specified tool can be specified. Our in-house tools allow you to perform searches based on selected keywords.

In the example shown in FIG. 1, in-house tools are installed in each of the PCs 10 and 11. Note that if the PCs 10 and 11 are installed in the same company or the same group company, the same in-house tools may be used, so the in-house tools may be installed in either the PCs 10 or 11. Note that the PCs connected to the network 12 are not limited to the two PCs 10 and 11, and three or more PCs may be connected.

FIG. 2 is a diagram showing an example of the hardware configuration of the PC 10 as an information processing device. Since the PC 10 and the PC 11 have the same hardware configuration, only the hardware configuration of the PC 10 will be described here. The PC 10 is constructed of a computer, and includes a CPU (Central Processing unit) 20, a ROM (Read Only Memory) 21, a RAM (Random Access Memory) 22, an HD (Hard Disk) 23, and an HDD (Hard Disk Drive) controller 24. Be prepared.

The information processing device also includes a display 25, an external device connection I/F (interface) 26, a network I/F 27, a bus line 28, a keyboard 29, a pointing device 30, a DVD-RW (Digital Versatile Disk Rewritable) drive 31, a media Equipped with I/F32.

The CPU 20 controls the operation of the entire information processing device. The ROM 21 stores programs used to drive the CPU 20, such as IPL (Initial Program Loader). RAM 22 provides a work area for CPU 20. The HD 23 stores various data such as programs. Note that the storage of various data is not limited to the HD 23, and may be stored in an SSD (Solid State Drive) or the like. The HDD controller 24 controls reading and writing of various data to the HD 23 under the control of the CPU 20 .

The display 25 displays various information such as a cursor, menu, window, characters, or images. The external device connection I/F 26 is an interface for connecting various external devices. External devices include, for example, an external microphone, an external speaker, an external camera, and a USB memory connected via a USB (Universal Serial Bus) cable. The PC 10 is connected to at least an external microphone and an external speaker in order to input and output audio. The network I/F 27 is an interface for data communication using the network 12. The bus line 28 is an address bus, a data bus, etc. for electrically connecting each component such as the CPU 20 shown in FIG. 2.

The keyboard 29 is a type of input means that includes a plurality of keys for inputting characters, numerical values, various instructions, and the like. The pointing device 30 is a type of input means for selecting and executing various instructions, selecting a processing target, moving a cursor, and the like. The DVD-RW drive 31 controls reading and writing of various data on a DVD-RW 33, which is an example of a removable recording medium. Note that it is not limited to the DVD-RW 33, but may be a DVD-R, a CD-R, a CD-RW, or the like. The media I/F 32 controls reading or writing (storage) of data to a recording medium 34 such as a flash memory.

The PC 10 may have a built-in microphone as a voice input means, a speaker as a voice output means, and a camera as an imaging means.

FIG. 3 is a diagram illustrating an outline of the process from specifying an in-house tool to displaying the results of automatic search by the PC 10. Since the PC 11 also executes similar processing, only the PC 10 will be described here. The PC 10 recognizes the voice spoken with the other party, converts it into text, extracts a keyword from the text, and executes a search based on the keyword selected by the user. For this reason, the PC 10 uses a voice recognition tool 40 that recognizes speech and converts it into text, an in-house tool 41, and a search engine that extracts keywords and sends the selected keywords and search execution instructions to the in-house tool 41. support system 42. In the example shown in FIG. 3, a user 43 who operates the search support system 42 is also shown.

The speech recognition tool 40 understands speech input into a speech input means such as a microphone, converts it into text, and outputs the text. The speech recognition tool 40 performs acoustic analysis to extract features such as frequency and loudness from input speech, for example, and compares it with an acoustic model that statistically shows the combination of features and phonemes, which are the smallest units of sound. Then, we identify each phoneme one by one, estimate word candidates using a pronunciation dictionary registered as pairs of words and pronunciations, and convert them into sentences using a language model that registers the degree of occurrence between words. can do. The text conversion from identifying phonemes to writing can be performed using AI (Artificial Intelligence). AI can achieve highly accurate text conversion by performing machine learning on vast amounts of data.

Here, machine learning is a technology that allows computers to acquire human-like learning abilities, and computers autonomously generate algorithms necessary for decisions such as data identification from learning data that has been captured in advance. A technology that applies this to new data to make predictions. The learning method for machine learning may be supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, or deep learning, or it may be a learning method that combines these learning methods. It doesn't matter what learning method you use.

The search support system 42 acquires text from the speech recognition tool 40 that is the output source of the text, and extracts one or more keywords from the acquired text. The search support system 42 presents a list of extracted keywords to the user 43, and accepts selection of one keyword from the keywords presented by the user 43. The search support system 42 transmits the selected keyword to the in-house tool 41 along with an instruction to execute the search.

The in-house tool 41 receives a search execution instruction and keywords from the search support system 42, and executes a search based on the received keywords. The search execution instruction is, for example, a search execution command. Therefore, the in-house tool 41 automatically inputs keywords and executes a search based on the input keywords. Further, the in-house tool 41 displays search results.

The search result is a list of information related to the input keyword. For example, based on the degree of relevance to the keyword (relevance), information that has relevance above a threshold is extracted, and the extracted information is extracted based on the degree of relevance. You can decide the order and display them in the decided order. The degree of association can be derived as the final degree of association by using the elements in each piece of information, calculating the degree of association for each element, and adding weight to each degree of association. As the degree of association, for example, covariance, correlation coefficient, etc. can be used. Since covariance and correlation coefficients are well known, they will not be discussed in detail here.

The voice recognition tool 40 can be activated at the same time as the communication tool is activated, or in response to a request from the user 43 after the communication tool is activated. The search support system 42 can be activated in response to a request from the user 43 after the voice recognition tool 40 has been activated. Note that these activation timings are merely examples, and are not limited to these timings.

The search support system 42 provides the user 43 with a screen for specifying the in-house tool 41, and accepts the specification of the in-house tool 41 (S1). FIG. 4 is a diagram showing an example of an initial screen for specifying the in-house tool 41 and a screen for displaying a list of keywords.

The initial screen includes an input field 50 for inputting a path indicating the location of the company's tool 41, and an input field 51 for inputting an automatic search shortcut as an automatic search command. The input fields 50 and 51 may be left blank each time the initial screen is displayed, or the information input last time may be automatically input. Here, an input field 51 is provided so that a command can be specified as the command is different for each in-house tool 41, but if the command is common, only the input field 50 may be provided.

The initial screen includes a collaboration start button 52 for starting collaboration between the voice recognition tool 40 and the in-house tool 41. The user 43 can start collaboration between the voice recognition tool 40 and the in-house tool 41 by inputting predetermined information into the input fields 50 and 51 and pressing the collaboration start button 52. When the collaboration is started, the designated in-house tool 41 is activated. When the in-house tool 41 is activated, a screen 53 for displaying a list of keywords is displayed from the initial screen. The screen 53 is a screen (for example, a pop-up window) of the search support system 42 that is displayed superimposed on the screen displayed by the communication tool. At this time, the list of keywords is not displayed on the screen 53 because no keywords have been extracted yet.

Note that the tool to be linked with the voice recognition tool 40 is not limited to the in-house tool 41, but may be any tool as long as it manages information that the user 43 can view and can search for information. Good too.

Referring again to FIG. 3, the speech recognition tool 40 converts the input speech into text (S2). The search support system 42 acquires the text converted by the speech recognition tool 40 (S3).

The search support system 42 extracts one or more keywords from the acquired text (S4). Then, the search support system 42 makes a list of the extracted keywords and displays them in a selectable state (S5). The user 43 selects one keyword from the displayed list of keywords (S6), and the search support system 42 accepts the selection.

The search support system 42 transmits the keyword selected by the user 43 to the in-house tool 41 along with a command (S7). The in-house tool 41 executes a search based on the received keyword according to the command (S8). The in-house tool 41 displays the search results (S9). This allows the user 43 to view the search results using the in-house tool 41.

FIG. 5 is a block diagram showing a first configuration example of the search support system 42. As shown in FIG. Each function of the search support system 42 can be realized by one or more processing circuits. Processing circuits include processors that are programmed to execute each function using software, such as processors implemented using electronic circuits, ASICs (Application Specific Integrated Circuits) designed to execute each function, and DSPs (Digital It may be a device such as a signal processor), an FPGA (field programmable gate array), or a conventional circuit module.

The search support system 42 includes at least a first reception section 60, an extraction section 61, a second reception section 62, and a transmission section 63. The search support system 42 may include other functional units, and may include a display unit 64 and an acquisition unit 65. Note that these functional units are merely examples, and other functional units may also be provided. Further, the first reception section 60 and the second reception section 62 do not need to be divided into these two reception sections, but are made into one input reception section, and the input reception section is connected to the first reception section 60 and the second reception section 62. The processing of the second receiving unit 62 may be executed.

The first reception unit 60 accepts the designation of the in-house tool 41 as a management destination to be linked with the speech recognition tool 40 as an output source that outputs text.

The acquisition unit 65 acquires from the voice recognition tool 40 the text output by the voice recognition tool 40 . The extraction unit 61 extracts one or more keywords that are part of characters or character strings from the text acquired by the acquisition unit 65. Keywords can be extracted using the conventionally known techniques described above. For example, the extraction unit 61 can extract all nouns included in one sentence as a text as keywords. Note that nouns include all types of nouns such as common nouns, proper nouns, pronouns, and abstract nouns, but only specific types of nouns may be extracted. Furthermore, the extraction is not limited to nouns, and adjectives, verbs, etc. may also be extracted.

The display section 64 displays a list of keywords extracted by the extraction section 61. The display unit 64 displays a list of keywords with one keyword selectable. The second accepting unit 62 accepts the selection of one keyword by the user 43 from the list of keywords displayed on the display unit 64.

The transmitter 63 transmits a command and the keyword selected by the user 43 as an instruction to execute the search in order to cause the in-house tool 41 to execute the search.

The search support system 42 can receive an instruction to start or terminate the search support system 42 from the user 43. When the search support system 42 receives an instruction to terminate the search support system 42, the user 43 can search for an unknown term in the text by using the term as a keyword. A search engine such as Google (registered trademark) can be used to perform a search based on the extracted keywords. For example, if you perform a search using a search engine but do not get the desired results, you can start up the search support system 42, specify your company's tool 41, and have the search executed within your company's tool 41. . Since this is just an example, the search support system 42 can be activated according to the user's needs, and the search can be executed within the in-house tool 41.

First, FIG. 6 shows an example in which text converted by the voice recognition tool 40 is displayed on a screen displayed by the communication tool before the search support system 42 is activated. The screen 70 displayed by the communication tool is displayed on the display 25 of the PC 10 or PC 11, and includes a first area 71 that displays images of yourself and the other party having a conversation, materials to be shared, etc., and a second area 71 that displays converted text. 2 areas 72.

In the second area 72, text obtained by converting the content of the statement is displayed in real time along with user identification information for identifying the user who made the statement. Therefore, if user A says, "I understand.", the text "I understand." is displayed together with user A's user identification information. Subsequently, when user B says, "How do you like this?", the text "How do you like this?" is displayed together with user B's user identification information. The user identification information may be any information as long as it can identify the user, and may include the user's name, initials, facial photograph, etc.

FIG. 7 is a flowchart showing a first example of processing from starting the search support system to displaying search results. After the voice recognition tool 40 is activated, the search support system 42 can be activated at any timing when a search using the in-house tool 41 is required. When the search support system 42 is activated in step 100, the display unit 64 displays a screen for specifying the in-house tool 41 in step 101, and the first reception unit 60 receives the in-house tool 41 specification from the user 43. , the press of the cooperation start button 52 is accepted, and the cooperation between the voice recognition tool 40 and the in-house tool 41 is started. Then, the display unit 64 displays a screen 53 for displaying a list of keywords.

In step 102, the acquisition unit 65 acquires the text converted by the speech recognition tool 40. In step 103, the extraction unit 61 extracts one or more keywords from the text. In step 104, the display section 64 displays a list of extracted keywords in a selectable state. The extracted keywords are displayed as a list on a screen 53 displayed by the search support system 42. FIG. 8 is a diagram showing an example of a screen displaying a list of keywords. In the example shown in FIG. 8, keywords 1 to 3 are displayed as a list in a selectable state.

Referring again to FIG. 7, in step 105 it is determined whether the user 43 has selected a keyword. The selection of a keyword can be determined based on whether the second reception unit 62 has received a keyword selection from the user 43. The process of step 105 is repeated until the user 43 selects a keyword.

FIG. 9 is a diagram showing an example of a screen when one keyword is selected from a list of keywords. Usually, a keyword is written in black characters on a white background, but the background of the selected keyword part is black, blue, etc., and the selected keyword part is reversed to white. In the example shown in FIG. 9, "keyword 1" is selected by the user 43. A keyword can be selected by, for example, using the pointing device 30 and clicking on the desired keyword. You can click anywhere as long as it is within the area on the keyword you want to select. Note that the method for selecting a keyword is not limited to the method using the pointing device 30; for example, the method for selecting the keyword using the direction keys of the keyboard 29, or when the display 25 is equipped with a touch panel, the method for selecting the keyword is not limited to the method using the pointing device 30. It is possible to adopt a method of selecting by touching a predetermined area on the screen.

If it is determined in step 105 that the keyword has been selected, the process proceeds to step 106 and the selected keyword and command are sent to the in-house tool 41. As a result, the in-house tool 41 is automatically started and the search is automatically executed. In step 107, the in-house tool 41 displays the search results. Note that the search results may be transmitted by the in-house tool 41 to the display unit 64 included in the search support system 42, and displayed by the display unit 64.

FIG. 10 is a diagram showing an example of a screen displaying search results. The search results are displayed on a new screen 73 that is separate from the screen 53 that displays the list of keywords. The search results include the search keyword "keyword 1", a list of related pages in "all notebooks" as information managed by the in-house tool 41, and the content of the selected page in the list of pages. Contains. In the list of pages shown in FIG. 10, "A setting" to "D setting" are shown, and the contents of the currently selected "C setting" are shown. In the example shown in FIG. 10, information is written and managed on each page of a plurality of notebooks, but the information is not limited to this.

FIG. 11 is a block diagram showing a second configuration example of the search support system 42. Similar to the configuration shown in FIG. 5, the search support system 42 includes a first reception section 60, an extraction section 61, a second reception section 62, a transmission section 63, a display section 64, and an acquisition section 65. In the second configuration example shown in FIG. 11, the search support system 42 further includes an authentication section 66. Here, parts of the authentication unit 66, the first reception unit 60, the display unit 64, etc. that execute processing different from the embodiment shown in FIG. 5 will be described in detail.

The display unit 64 specifies a path indicating the location of the voice recognition tool 40 and the company's tool 41, a command to instruct search execution, and displays an initial screen for starting the cooperation between the voice recognition tool 40 and the company's tool 41. Note that, like the initial screen shown in FIG. 4, the initial screen may be an initial screen where only the path and command of the in-house tool 41 are specified.

The first reception unit 60 receives input of a path and command specified by the user 43 on the initial screen displayed on the display unit 64, and receives cooperation instructions. The input fields for paths and commands may be configured to be left blank each time the initial screen is displayed and inputted each time, or the contents input last time may be displayed. If the content entered last time is displayed, the content may be changed by deleting the content and inputting it separately.

The authentication unit 66 is configured to input authentication information to the display unit 64 when the first reception unit 60 receives a cooperation instruction and authentication is required for the voice recognition tool 40 and the in-house tool 41. A screen is displayed to request the user 43 to input authentication information. The first reception unit 60 receives input of authentication information. The authentication unit 66 executes authentication processing based on the authentication information received by the first reception unit 60. The authentication information is a user ID, password, etc., and an e-mail address or the like may be used instead of the user ID. Authentication information is not limited to user IDs and passwords, but also equipment identification information such as the MAC (Media Access Control) address and telephone number of the communication terminal occupied by the user, and biometric information such as a fingerprint unique to the user. It may be. Note that when using device identification information or biometric information, the information processing device can include a reading means for reading these information.

If the authentication by the authentication unit 66 is successful, the transmission unit 63 transmits a startup instruction to the in-house tool 41, and the display unit 64 displays a screen 53 for displaying a list of keywords.

FIG. 12 is a diagram showing an example of a screen displayed on the display unit 64 when linking tools and performing authentication. FIG. 12 shows an initial screen for linking the voice recognition tool 40 and the in-house tool 41, a UI (User interface) screen at the time of authentication, and a screen after the search support system 42 is started.

The initial screen includes input fields 74 to 76 for inputting a path indicating the location of the voice recognition tool 40, a path indicating the location of the in-house tool 41, and an automatic search shortcut for specifying an automatic search command. The input fields 74 to 76 may be left blank each time the initial screen is displayed, or the information entered last time may be automatically entered.

The initial screen includes a collaboration start button 77 for starting collaboration between the voice recognition tool 40 and the in-house tool 41. The user 43 can start cooperation between the predetermined speech recognition tool 40 and the in-house tool 41 by inputting predetermined information into the input fields 74 to 76 and pressing the start cooperation button 77.

Cooperation between tools can be started by pressing the cooperation start button 77, but when starting each tool, authentication for each tool can be requested. The UI screen includes input fields 78 and 79 for inputting an email address or user ID, and a password. On the UI screen, the notation of information input in the input field 78 can be switched to either an email address or a user ID, depending on the tool to be linked. Note that the notation of the information input into the input field 78 is not limited to an email address or a user ID, but may also be a telephone number of a mobile phone, smart phone, etc. owned by the user 43.

Authentication may be a one-step authentication using the entered email address or user ID and password, or the one-step authentication may include authentication using the phone number or email address of the user's mobile phone or smartphone, etc. A code may be sent, and multi-step authentication including authentication using an authentication code, authentication using biometric information, or these two types of authentication may be used.

The user 43 can input predetermined information into the input fields 78 and 79 and press the OK button 80. In response to the OK button 80 being pressed, the authentication unit 66 executes authentication processing based on the authentication information input into the input fields 78 and 79. Specifically, the authentication unit 66 compares the information entered in the input fields 78 and 79 with the email address or user ID and password registered in advance for the two tools to be linked, and if they match, the authentication is performed. It is considered a success, and if they do not match, it is considered an authentication failure. If the authentication is successful, the transmitting unit 63 instructs the activation of each tool, and the display unit 64 displays a screen 53 for displaying a list of keywords as a screen after the tool is activated. At this time, the screen 53 does not display a list of keywords because no keywords have been extracted yet.

With reference to FIG. 13, the process from starting the search support system 42 to displaying the results of automatic search within the in-house tool 41 will be described in detail. When the search support system 42 is started in step 200, the display unit 64 displays a screen for specifying the in-house tool 41 in step 201, and the first reception unit 60 accepts the in-house tool 41 specification from the user 43. accept. The screen may include an input field for specifying the voice recognition tool 40 in addition to the in-house tool 41, and a button for instructing the start of collaboration. When these input fields and buttons are included, the first reception unit 60 can accept the designation of the voice recognition tool 40 and the cooperation instruction.

In step 202, the authentication unit 66 requests the user 43 to input authentication information, and executes authentication processing for the designated voice recognition tool 40 and in-house tool 41 based on the input authentication information. If the authentication fails, the process proceeds to step 203, where the display unit 64 displays an alert indicating that the authentication has failed, and notifies the user 43 that the authentication has failed. An alert is a message that includes content that the user 43 wants to be informed of, and in the alert display, a message such as "Authentication has failed." can be displayed. If the authentication fails, the process returns to step 202 and the user can re-enter the email address, user ID, and password.

If the authentication is successful in step 203, the process advances to step 204. Steps 204 to 209 are the same processes as steps 102 to 107 shown in FIG. 7, so their explanation will be omitted here.

FIG. 14 is a diagram showing another configuration example of the information processing system. The information processing system is not limited to the configuration shown in FIG. 1, but may have the configurations shown in FIGS. 14(a) and 14(b). FIG. 14A shows an example in which a company server 13 is connected to the network 12 in addition to the PCs 10 and 11. The in-house server 13 implements in-house tools 41 and manages in-house information. For this reason, the voice recognition tool 40 installed in the PCs 10 and 11 is linked with the in-house tool 41 installed in the in-house server 13 via the network 12, and the in-house tool 41 performs a search based on the selected keyword. can be executed. The in-house server 13 may be any device as long as it is capable of managing information and searching for managed information; for example, an MFP (Multi-Function Peripheral) or the like may be used as the in-house server 13. Good too.

FIG. 14B shows an example in which a management server 14 is connected to the network 12 in addition to the PCs 10 and 11 and the company's server 13. In the example shown in FIG. 14(b), only voice recognition is performed by the PCs 10 and 11, keyword extraction, generation of a list of keywords, and transmission of commands and selected keywords are performed by the management server 14, and the search is performed by the in-house server 13. The configuration is such that the in-house server 13 sends the search results to the PCs 10 and 11. In this case, the management server 14 receives device identification information for identifying the PCs 10 and 11 from the PCs 10 and 11, uses the device identification information to transmit a list of keywords, and sends the device identification information to the own server 13. The selected keywords, etc. are sent by adding . Thereby, the in-house server 13 can transmit the search results to the PCs 10 and 11 using the device identification information, and display the search results on the PCs 10 and 11. Note that the management server 14 may be installed on the cloud.

As explained above, it is now possible to specify a specific management destination as a search target, and by simply selecting the keyword you want to search, you can view the automatically searched results for the specified management destination. become.

Although one embodiment of the present invention has been described so far, the present invention is not limited to the embodiment described above, and the present invention may be modified or deleted from the constituent elements of this embodiment, or the constituent elements of this embodiment may be modified or deleted. Changes can be made within the range that can be conceived by those skilled in the art, such as adding other components, and any aspect is included in the scope of the present invention as long as the effects of the present invention are achieved. .

10, 11...PC
12...Network 13...In-house server 14...Management server 20...CPU
21...ROM
22...RAM
23...HD
24...HDD controller 25...Display 26...External device connection I/F
27...Network I/F
28...Bus line 29...Keyboard 30...Pointing device 31...DVD-RW drive 32...Media I/F
33...DVD-RW
34...Recording media 40...Voice recognition tool 41...In-house tool 42...Search support tool 43...Users 50, 51...Input field 52...Cooperation start button 53...Screen 60...First reception section 61...Extraction section 62...Second Reception unit 63...Transmission unit 64...Display unit 65...Acquisition unit 66...Authentication unit 70, 73...Screen 71...First area 72...Second area 74-76, 78, 79...Input field 77...Start of cooperation Button 80...OK button

International Publication No. 2013/115235 Japanese Patent Application Publication No. 2006-186426 JP 2017-120613 Publication Special table 2019-501466 publication

Claims (11)

A system that supports searching for information,
a first reception means for accepting the designation of a management destination that manages the information;
Extracting means for extracting one or more keywords from the character string obtained from the character string output source;
a second reception means that receives a selection of one keyword from the one or more extracted keywords;
A search support system comprising a transmitting means for transmitting a search execution instruction and the selected keyword to the specified management destination. authentication means for authenticating the output source and the management destination;
an acquisition means for acquiring the character string from the authenticated output source,
The search support system according to claim 1, wherein the transmitting means transmits the instruction and the keyword to the authenticated management destination. The first receiving means receives a specification of an output source of a character string and a cooperation instruction for coordinating the specified output source and the management destination,
3. The search support system according to claim 2, wherein the authentication means requests input of authentication information necessary for authentication of the specified output source and the management destination when the cooperation instruction is received. 4. The search support system according to claim 2, further comprising a notification means for notifying that the authentication by the authentication means has failed. 4. The search support system according to claim 2, further comprising a display unit that selectably displays the one or more keywords extracted by the extraction unit when authentication by the authentication unit is successful. The output source is a voice recognition means that converts input voice into a character string,
The management destination is an information management means that manages information within the organization,
6. The search support system according to claim 5, wherein said display means displays the results of the search executed by said information management means. An information processing device including a search support system that supports information searches,
The search support system includes:
a first reception means for accepting the designation of a management destination that manages the information;
Extracting means for extracting one or more keywords from the character string obtained from the character string output source;
input receiving means for receiving a selection of one keyword from the one or more extracted keywords;
An information processing apparatus, comprising: a transmitting means for transmitting a search execution instruction and the selected keyword to the specified management destination. 8. The information processing apparatus according to claim 7, further comprising, as the output source, speech recognition means for converting input speech into the character string. 9. The information processing apparatus according to claim 7, wherein the management destination includes information management means for managing information within an organization. A method for supporting information retrieval using a retrieval support system, the method comprising:
a step of accepting the designation of a management destination that manages the information;
extracting one or more keywords from the string obtained from the string output source;
accepting the selection of one keyword from the one or more extracted keywords;
A method comprising the step of transmitting a search execution instruction and the selected keyword to the specified management destination. A program that causes a computer to perform processing that supports information retrieval,
a step of accepting the designation of a management destination that manages the information;
extracting one or more keywords from the string obtained from the string output source;
accepting the selection of one keyword from the one or more extracted keywords;
A program that executes the step of transmitting a search execution instruction and the selected keyword to the specified management destination.