JP4044095B2 - Word information utilization management evaluation system - Google Patents

Description

[0001]
【Technical field】
The present invention relates to a management evaluation system in a company, a school, or the like, and more particularly to a word information utilization management evaluation system that performs management evaluation using word information included in an electronic file.
[0002]
[Background]
Today, information management and business management in corporations and schools are important. For example, the transmission of information within a company is transmitted from the upper level to general employees according to the organizational structure. For example, when a file is sent to the general manager, this information is transmitted by following the route of the general manager → the manager → the manager → the member.
[0003]
Conventionally, evaluation of whether or not the above-described information transmission has been performed has been performed by recording the arrival date and time and the writing date and time of a file in a memo or the like. For example, when the general manager wishes to transmit information such as a message or data file, the general manager or general manager records the received date / time and the write date / time of the message, etc. in a memo and confirms this record later. ing.
[0004]
However, although the above-mentioned conventional method can recognize the person who recorded, the recorded content cannot be easily grasped by a third party. Further, when a person or a third party transfers a file or the like, there are problems such as erroneous writing or forgetting to transfer, and it takes a lot of time and labor to grasp the file transfer path. In addition, it has been difficult in the past to objectively carry out information path detours, information penetration, and information leakage.
[0005]
Patent Document 1 discloses an invention in which a communication history between an individual and another person is managed as personal network information, and the personal personal network information is shared and effectively used. However, when the received information is analyzed to generate the person relation information and the person attribute information, it takes an enormous amount of time as described above.
[0006]
[Patent Document 1]
JP 2001-175680 A
[0007]
DISCLOSURE OF THE INVENTION
The present invention builds a management evaluation system using word information using a computer, and automatically searches for information for specifying a search source, search date, write destination, and write date for each word in information retrieval and information writing. In this configuration, the management evaluation is easily performed by recording and recording the history for each item. In addition, based on the above information, we will construct a word information utilization management evaluation system that proposes information bypass routes, detects the degree of information penetration in each department, prevents errors during writing, and prevents information leakage. .
[0008]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, embodiments and operations of the present invention will be described in detail with reference to FIGS.
[0009]
FIG. 1 is a system configuration diagram of the word information utilization management evaluation system of this example. The system is, for example, an intranet (including the Internet) built in an organization in a company, the server 1 is built in the management center of the company, and the client 2 is the president, business manager, manager, or member of the company. It is a terminal device.
[0010]
Software such as browser software is installed in the client 2 (terminal device), and exchanges data with the server 1. The client 2 includes a full-text search word extraction unit 3, an unissued / existing separate information registration unit 4, and a personal word dictionary database 5.
[0011]
The full-text search word extraction unit 3 performs a search process for the file transferred to the terminal device, and performs full-text search on the text on the screen displayed on the display by browser software or the like, for example. Then, unexposed words that are not registered in the personal word dictionary database 5 are extracted. In addition, in the extraction process of the above-mentioned missing word, for example, a word to be extracted in advance can be designated according to the desire of the client 2. For example, by performing designation such as extracting only nouns or extracting only words including OO, word extraction processing according to the designations can be performed.
[0012]
The unregistered / pre-existing information registration unit 4 newly registers an item as an entry word in the personal word dictionary database 5 for the unexisting word when registering an unexposed word or an existing word in the personal word dictionary database 5. The date, time, and file name (source name) registered for the first time are recorded together. On the other hand, the latest input date, time, and file name are additionally recorded in the already registered area for the existing words. In addition, when writing out roughly registered words, the writing date, time, and file name (source name) are recorded together.
[0013]
FIGS. 2A to 2D are diagrams for explaining the configuration of the personal word dictionary database 5. As shown in FIGS. 4A to 4D, the personal word dictionary database 5 is composed of areas such as “word identification code”, “word content”, “latest search date”, “latest search source”, and the like. The “word identification code” is an identification code set for each word, and is common to all terminal devices (however, an exception is made in the determination of erroneous writing by the client described later). Further, a specific word name corresponding to the identification code is recorded in the “word content” area, and the latest date when a message (file) including the word is searched in the “latest search date” area. In the “latest search source” area, address information of a search source (for example, an upper layer administrator) who searches for a file including the word is recorded.
[0014]
In addition, recent history information on which the search has been performed is recorded up to n times as information on the latest search date and time, and (a) shown in the figure shows the most recent search date and search source. ) Indicates a search date one search before (recent -1 input date) and search source information. On the other hand, with regard to the export information, the latest history information on which the export has been performed has been recorded up to n times, and FIG. 8C shows the most recent export date and the information of the latest export destination. Are sequentially recorded. For example, in the last figure (d), the writing date and the writing destination information n times before are recorded. The n times can be arbitrarily set, and can be freely set according to the capacity of the recording device, the number of messages (files) to be transmitted and received, and the like.
[0015]
On the other hand, as shown in FIG. 1, the server 1 includes a personal identification unit 6, a word usage analysis unit 7, an advice mail transmission unit 8, a user basic information database 9, a word usage tabulation database 10, and an advice editing database 11. It consists of The personal identification unit 6 refers to the user basic information database 9 and acquires information such as a user name and a mail transmission destination recorded in the user basic information database 9.
[0016]
Also, the word-by-word usage status analysis unit 7 reads necessary information from the personal word dictionary database 5 of each user, and is frequently searched by the word-by-word usage tabulation database 10 by word or by a certain word group. Record the file (source) and analyze it.
[0017]
Further, the advice mail sending unit 8 determines from the analysis result in the word-by-word usage situation analysis unit 7 the evaluation criteria for the freshness and staleness of the file (source) set in advance by the administrator, and the advice standard corresponding to the evaluation criteria The sentence is read from the advice editing database 11, compared and referenced, and an optimal advice mail is transmitted.
[0018]
FIG. 3 is a diagram showing the configuration of the user basic information database 9 and includes “user code”, “affiliation code”, “affiliation name”, “employee number”, “name”, and “email address”. It consists of each area. The “user code” is a code number of a user who uses the terminal device (client), that is, a business department manager, a department manager, or a staff member, and “affiliation code” indicates a department code to which the business department manager belongs. The “affiliation name” is the department name, and the “employee number” is, for example, an employee number in the company.
[0019]
FIG. 4 shows an example of the word-by-word usage aggregation database 10, where aggregation is performed for each word together with the aggregation date and the aggregation affiliation code. In addition, the advice editing database 11 stores fixed phrases of various types of advice emails that are performed in the process described later. As shown in the figure, when the freshness level is 3, for example, “access is continuously increased. , "..." and the "fixed sentence code" are stored. The freshness level 2 and the freshness level 1 are as shown in FIG.
[0020]
In the above configuration, the processing operation of this example will be described below.
FIG. 6 shows the organizational structure of the company used in the explanation of this example. The head of the business unit-the general managers A to C-are built in a pyramid shape with the president at the top. There is a member who is a direct report (not shown in the figure, but may be a configuration including department heads D, E,...). Each member is a client in the network shown in FIG. 1 and has a terminal device.
[0021]
In the above configuration, first, processing when a certain message (file) is transmitted will be described.
FIG. 7 is a flowchart for explaining this process. First, the president transmits a message including a specific word (for example, “CRM”) (step (hereinafter, indicated by S) 1). This message transmission is recorded as a writing history in the personal word dictionary database 5 of the president's terminal device (S2).
[0022]
FIG. 8A shows the writing history recorded in the president's personal word dictionary database 5 by the above processing. In this case, the transmission of the message including the word “CRM” is recorded as the writing date December 2, 2002, together with the address information “syacyou.eml”. As shown in FIG. 8 (a), this transmission file also includes the words “management” (“word identification code” 00100001) and “IT” (“word identification code” 11040722), Similarly, the date of writing and the information of the writing destination are recorded for these words.
[0023]
On the other hand, the file containing the word “CRM” is sent to the business manager by the above processing, and when the business manager searches the message (file) (S3), the search history is recorded in the personal word dictionary database 5 of the business manager. (S4). FIG. 8 (b) is a diagram showing a state of the personal word dictionary database 5 of the business manager. As shown in the figure, the above file is searched on the same December 2, 2002, and the word information “CRM” is recorded together with the information “word identification code” 36048799. A specific process for searching the full text of the message (file) and detecting the word “CRM” will be described later.
[0024]
Next, when the general manager sends this message (file) including the word “CRM” to the general manager (S5), a writing history remains in the personal word dictionary database 5 of the general manager (S6). That is, a record of the writing date (20021202) and the writing destination address (“jigyoubucyou.eml”) shown in FIG. Note that the words “management” and “IT” are also present in the same file and remain in the same writing history.
[0025]
The transmission processing is performed by the business manager to a plurality of department managers. For example, when department managers A and B search the message (file) (S7), the word “CRM” is stored in personal word dictionary database 5 of department managers A and B. "" Is recorded (S8). Here, the state of the search history in the personal word dictionary database 5 of the general manager A is shown in FIG. 8C, and the state of the search history in the personal word dictionary database 5 of the general manager B is shown in FIG.
[0026]
On the other hand, the above information is not recorded in the personal word dictionary database 5 of the director C who does not search for the message (file) (S9), and the search history of the personal word dictionary database 5 of the director C is shown in FIG. This is the state shown. Note that the search history of the words “management” and “IT” shown in FIG. 5E is not a message from the above-mentioned department manager, but is recorded from, for example, the member 1 (“buinc1” .eml "), information from the director D (" bucyoud.eml ").
[0027]
In this state, when the department manager B further transmits a message including the word “CRM” to the staff member (S10), the writing history is recorded in the personal word dictionary database 5 of the department manager B as shown in FIG. (S11). When the subordinate of the manager B searches for the message (file), the subordinate terminal device receives the message (file) (S12), and information including the word “CRM” is recorded (S13).
[0028]
If the manager A does not send a message containing the word “CRM” to the staff member (S14), as shown in FIG. 8 (c), the personal word dictionary database 5 of the manager A has a write history. Not recorded.
[0029]
By processing as described above, the message (file) sent from the president is transmitted from the business manager to the manager to the staff, and each personal word dictionary database 5 stores the messages (files) in FIGS. A search history and a writing history are sequentially recorded.
[0030]
As described above, history information is accumulated in each personal word dictionary database 5, and the server 1 reads the information in the personal word dictionary database 5 of all members at regular intervals, and the reception history and transmission history are stored for each word. It is confirmed whether it exists (S15). The processing of the server 1 will be described later, but the server 1 points out a bottleneck (S16) and proposes a bypass route (S17) based on the read data. This process (S16 and S17) will be described later in detail.
[0031]
On the other hand, FIG. 9 is a diagram for explaining the processing when each client records data in the personal word dictionary database 5 in the above processing. First, it is determined whether or not the above-mentioned message (data) is transmitted or received (step (hereinafter referred to as ST) 1). Here, when there is a message transmission or reception, the date of transmission or reception and its file name are collected (ST2).
[0032]
Next, the entire contents (character string) of the file are searched, and it is determined whether there is a new word that has not appeared (ST3, ST4). Here, if there is a new word that has not yet appeared, an additional word addition process is performed in the personal word dictionary database 5 (ST5). If this additional processing is file reception, the date and address information of the search source are recorded in the “latest search date” and “latest search source” areas described above. If the file is sent, the “latest write date” is recorded. And the date and address information are recorded in the “latest writing source” area (ST6). Therefore, the history in the personal word dictionary database 5 is recorded by this process.
[0033]
If the word is an existing word (YES in ST7), the following is recorded in the corresponding area of the personal word dictionary database 5. For example, if a file is received, the date and address information of “latest search date” and “latest search source” are shifted, new information is recorded in “latest-1”, and the previous information is “latest-2”. Similarly, the information recorded in “Latest-2” is similarly shifted to “Latest-3”, and subsequently the recorded data is sequentially shifted (ST8, ST9). This process is the same when writing a file. The “write date” and “write source” records are sequentially shifted, and the records are sequentially rewritten.
[0034]
On the other hand, the server 1 performs a word management evaluation process from information recorded in the personal word dictionary database 5. This management evaluation process includes so-called bottleneck, detour route proposal, error, grasp of information penetration, and the like, which will be described in detail below.
[0035]
<First embodiment>
First, the bottleneck will be described. A bottleneck is a state in which a message (file) is not transmitted to all the administrator's terminal devices from the upper layer, or a message (file) stops at a certain administrator's terminal device and is not transmitted to the lower layer. FIG. 10 is a diagram schematically illustrating a bottleneck state. In the example shown in the figure, a message (file) is not transmitted from the general manager to the general manager C, and no message (file) is transmitted to the general manager C and the members who are subordinates of the general manager C. Further, since the general manager A does not transmit a message (file) to the subordinate, no message (file) is transmitted to the member of the general manager A. This will be specifically described below with reference to the flowchart shown in FIG.
[0036]
First, the server 1 determines whether or not a predetermined period has passed (step (hereinafter referred to as STP) 1). Here, if the predetermined period has not elapsed, the elapse of the predetermined period is awaited. The fixed period is set in consideration of the transmission frequency of messages (files) in this system, the number of clients, and the like. For example, the above setting is performed every period and every half day.
[0037]
Thereafter, when a predetermined time has elapsed, the updated contents of the personal word dictionary database 5 of all the members are collected (STP2). Then, it is determined whether there is a new word that has not yet appeared (STP3). Here, if there is a new word that has not yet appeared, a new “word identification code” is allocated (STP4), and the “word identification code” in the personal word dictionary database 5 for all is uniquely unified (STP5).
[0038]
Next, grasp the bottleneck. That is, it is determined whether a specific word designated in advance by the user is transmitted from a specific individual after a specific date (STP6). Here, a specific word is determined by “word identification code”, a specific date is determined by “latest writing date”, and a specific individual is determined by “user code”.
[0039]
Next, as a result of the above determination, when it is determined that there is a client that has not transmitted, information such as the “affiliation name” and “name” of the client is designated in advance, for example, the user's supervisor or system. It is sent as a bottleneck advice mail to the administrator's terminal (STP7).
[0040]
For example, in the case of the example shown in FIG. 10, the word “CRM” exists in the reception history of the department manager A, and the data of the search source and the search date are recorded. Therefore, in the writing history of the manager A, the writing date for the same word “CRM” is confirmed after the search date, and if there is no corresponding record, it can be determined as a bottleneck. The same applies to other cases, and the bottleneck for each department manager is obtained by comparing the search date and information of the search source recorded in the personal word dictionary database 5 of each department manager and the information of the export date and the export destination. Can be confirmed.
[0041]
<Second embodiment>
Next, an alternative route proposal will be described. When the bottleneck occurs, a message (file) is not transferred to the members after the administrator who has generated the bottleneck. Therefore, a bypass route for transferring a message (file) to the member is proposed.
[0042]
FIG. 12 is a diagram schematically showing a detour route. The example shown in the figure is a proposal for transmitting a message (file) using a bypass route to the members who are the subordinates of the general manager A and the general manager C who are the bottlenecks described above. This will be described below with reference to the flowchart shown in FIG.
[0043]
First, when the occurrence of a bottleneck is grasped by the same processing as described above (STP8), the counter of the bottleneck pre-history accumulation table is incremented by 1 (added) for an individual who has not transmitted (for example, department manager A) (STP9) .
[0044]
FIG. 14 shows an example of a bottleneck previous history accumulation table. When a bottleneck previous history counter is set for each “user code” and the setting allowable value (for example, “10”) is exceeded, an advice mail is sent. Is sent out. For example, in the case of the administrator of “user code” 0011100300, if the counter value is “9” and a bottleneck occurs two more times, for example, an advice mail is transmitted to the business manager. An administrator who generates a bottleneck exceeding the set allowable value by the advice mail is alerted by, for example, a business manager.
[0045]
On the other hand, an administrator with a small counter value in the pre-designated bottleneck history accumulation table can use the message (file) as a bypass route without any message (file) retention. Therefore, information of “affiliation name” and “name” is extracted, and the corresponding manager is examined. For example, in the example of FIG. 14, the counter value of the administrator (director) of “user code” 0011100200 is “1”, and there is the least bottleneck, and advice is given to receive a message (file) transfer from the administrator. Send mail (STP11).
[0046]
The destination of the advice mail is, for example, a business department manager, and the business department manager uses the department manager as a detour route, so that, for example, a message (file) is always transmitted to the department manager.
[0047]
By proposing a detour route as described above, efficient message (file) transfer processing can be performed, the information path can be clarified, and the efficiency of the transfer path can be improved.
[0048]
<Third embodiment>
Next, I will explain the indication of the possibility of error.
FIG. 15 is a flowchart for explaining this process. First, it is determined whether a specific word group designated in advance has been transmitted from a specific individual after a specific date (STP12). Here, the specific word group is determined by the “word identification code”, the specific date is determined by the “latest writing date”, and the specific individual is determined by the “user code”.
[0049]
Next, it is determined whether the number of missing words is within a predesignated ratio and there is a corresponding word on the input side, and there is a word that matches the characters used on the output side at a predesignated ratio (STP13). Here, if the number of missing words is within the percentage specified in advance and there is a word that corresponds to the input side, and there is a word that matches the used characters in the output side at a percentage or higher that is specified in advance, An advice mail is sent to the address (STP14).
[0050]
FIG. 16 is a diagram for explaining this example, and shows an example in which the word “CRM” is erroneously written and written out in the message (file) transmitted from the president. In this case, the word “CRM” is transmitted from the terminal device of the president, and “CRM” is recorded in the search history of the business manager. However, the word “CMR” similar to “CRM” is written in the subordinate's manager in the writing history of the department manager. In this case, the “missing rate” is 0.33, and the “matching rate” of characters used is 1.00. This result is compared with the set value in the related word group designation table.
[0051]
FIG. 17 shows an example of the related word group designation table. In this example, the “missing rate” is 0.34 or less, and the “matching rate” is 0.50 or more. Therefore, applying the above-mentioned example of the business manager to the standard of the related word group specification table, the “missing rate” is less than the specified value, and the “match rate” is more than the specified value, and there is a possibility of error. It is judged that advice email is sent to the president. That is, in this case, there is a high possibility that the business manager has made a mistake, and for example, an advice email is sent to the president who manages the business manager to call attention. In addition, if it is not recognized that it is an error, it is excluded from sending out the advice mail.
[0052]
By configuring in this way, it is possible to detect and correct errors during information transmission, warn the target administrator as necessary, and ensure the accuracy and validity of the information. Can do.
[0053]
<Fourth embodiment>
Next, detection of leakage will be described.
FIG. 18 is a flowchart for explaining this process. Also in this example, it is first determined whether a specific word designated in advance has been transmitted / received by a specific individual after a specific date (STP15). Also in this case, the specific word is determined by the “word identification code”, the specific date is determined by the “search date” or the “writing date”, and the specific individual is determined by the “user code”.
[0054]
If the determination is “Yes”, information such as the “affiliation name” and “name” of the individual being transmitted or received is sent as an advice mail to a predesignated individual (STP16).
[0055]
For example, FIG. 19 is a diagram for explaining this example. When the personal word dictionary database 5 of the member C1 who is the subordinate of the general manager C is read and analyzed, for example, a secret message (file) containing the word “management” is shown. This is a case where the search history is detected and the search source is the department manager C. In such a case, for example, an advice email is sent to an administrator such as a business manager about the fact of the leakage to call attention. This can be useful for management of information retention in the organizational system.
[0056]
<Fifth embodiment>
Next, the indication of the degree of information penetration in the organizational system will be described.
FIG. 20 is a flowchart for explaining this process. In this example, the following processing is performed using the above-mentioned word-by-word usage aggregation database.
[0057]
First, the total number of searchers for each word and search source of a specific affiliation designated in advance is calculated every predetermined period (STP17). For example, for members who are subordinates of the general manager A, the total number of searchers by word and by search source is counted. In this case, it is assumed that there are 10 members who are subordinates of the manager. However, only three people have a search history from the tabulation result, and the search history is retrieved from another part. In such a case, the degree of information penetration is poor, and advice mail is sent to the administrator for the information (STP 18).
[0058]
In this case, the manager is, for example, a business manager, and can notify the manager of the information penetration degree of the department. This can be used to evaluate and review the validity of the information transmission path in the organizational system.
[0059]
Moreover, the result of the penetration degree of the above information becomes a more effective means when used in combination with a consciousness questionnaire in the relevant department. For example, Fig. 21 is an example of the above awareness questionnaire. According to the example in the figure, a questionnaire such as "Do you think that your department communicates well as a whole?" Send it to the members and conduct an awareness survey. In addition, a specific questionnaire is conducted on the items shown in the figure, and a correlation is presented together with the information penetration level described above, which can be used for evaluation and review in determining the validity of the information transmission path.
[0060]
<Sixth embodiment>
Next, processing for pointing out the possibility of an error on the client side alone will be described. The descriptions of the first to fifth embodiments have been items that are executed by performing information aggregation and analysis processing by the server. However, the client himself / herself needs to be aware of the possibility of typographical errors, and the client side needs to handle the possibility of typographical errors.
[0061]
FIG. 22 is a flowchart for explaining the processing of this example. The processing of this example performs the following processing after providing a logical table for automatically pointing out a newly related word group.
[0062]
First, it is determined whether a predetermined period has passed (step (hereinafter referred to as W) 1). Here, if the predetermined period has not elapsed, the elapse of the predetermined period is awaited. Next, when a certain period of time elapses, it is determined whether there is a new word that has not yet appeared in the personal word dictionary database 5 of the client (W2). Here, if there is a new word that has not yet appeared, a “word identification code” is newly allocated (W3). However, the “word identification code” assigned here is a temporary code for personal use, and is not a code for uniquely unifying all the “word identification codes” based on the processing of the server as described above.
[0063]
Next, a word group newly input from “search date” and “search source” is registered in a logical table that automatically points out the related word group as a new designated pattern (W4). FIG. 23 is a diagram showing an example of a logical table that automatically points out the related word group. Each area includes “specified pattern”, “related word group”, “missing rate”, “match rate”, and “automatically specified date”. Here, a ratio specified in advance is applied to the “missing rate” and the “matching rate”. For example, if the same setting as that performed by the server 1 is performed, it is determined that “missing rate” is 0.34 or less and “matching rate” is 0.50 or more. A search date common to the designated word group is used as the “automatic designation date”.
[0064]
Next, after automatic designation of the designated pattern, it is determined whether or not a group of words automatically designated by itself has been transmitted together (W5). Here, whether it is after the “automatically specified date” is determined by the writing date of the personal word dictionary database 5, the word group is determined by the same writing date and the same writing destination, and the words constituting the word group are newly determined. Judgment is made based on the created “word identification code”.
[0065]
Next, it is determined whether the number of missing words is within a predesignated ratio and there is a word that matches the characters used on the output side at a predesignated ratio (W6). Here, if the number of missing words is within a predetermined ratio and there is a corresponding word on the output side, an advice mail is sent to the individual regarding the possibility of erroneous writing (W7).
[0066]
For example, the example shown in FIG. 24 is an example of a business manager as described above, and shows the personal word dictionary database 5 of the business manager. In this case, the word “CRM” is transmitted from the terminal device of the president, and the head of business department writes out information on “CMR” similar to “CRM” to the head of the subordinate. In this case, for example, the designated word group includes three words “management”, “IT”, and “CRM”, and these words are automatically designated as the word group. In this case, as shown in the figure, the “missing rate” is 0.33, and the word group matching rate is 1.00. This result is compared with the setting of the logical table that automatically points out the related word group.
[0067]
As described above, the logical table that automatically points out related word groups is a rule that determines that a missing rate is 0.34 or less and a matching rate is 0.50 or more as an error. Therefore, according to the above rules, it is determined that there is a possibility of error, and an advice mail is sent to the general manager (W7).
[0068]
By processing as described above, it is possible to find and correct errors during information transmission, and to ensure the accuracy and validity of information. Further, the above processing is performed at the individual level in each department, and more reliable information can be transferred within the organizational system.
[0069]
Note that the following problems are expected to occur in the automatic designation. For example, when only a meeting date and agenda is transmitted as a message (file), and a meeting notice or attendance information is transmitted later, these information are combined (aligned) and written to others. In such a case, if another meeting message (file) performed at the same venue in a completely different case is transmitted, these contents are very similar and may be handled as a set of “designated patterns”.
[0070]
In such a case, in this example, for example, the date management level is subdivided to hours and minutes, and a determination condition that does not apply to messages (files) that extend over a predetermined time interval is added. In addition, the contents of the “designated pattern” that is automatically registered are displayed on the display, and can be referred to and modified at any time.
[0071]
By processing as described above, it is possible to reliably find and correct errors during information transmission, and to ensure the accuracy and validity of information.
In the present embodiment, various indications and advice can be made in addition to the bottleneck, the detour route proposal, the erroneous indication, and the information penetration degree. For example, when a message (file) is sent to a certain range of people (regardless of administrator or manager) within an organization, a specific word contained in the file is sent to a specific individual after a specific date. It can be known by judging whether it has been transmitted.
[0072]
The processing described in this embodiment can also be executed using a computer (information processing apparatus) having the configuration shown in FIG. The computer 20 in FIG. 1 includes a CPU 21, a memory 22, an input device 23, an output device 24, an external storage device 25, a medium drive device 26, and a network connection device 27, which are connected to each other via a bus 28.
[0073]
The memory 22 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and stores programs and data used for processing. The CPU 21 performs the above-described processing by executing a program using the memory 22.
[0074]
The external storage device 25 is, for example, a magnetic disk device, an optical disk device, a magneto-optical disk device, or the like. The above-described program and data can be stored in the external storage device 25, and can be loaded into the memory 22 and used as necessary.
[0075]
The medium driving device 26 drives a portable recording medium 29 and accesses the recorded contents. The portable recording medium 29 can be read by any computer such as a memory card, memory stick, flexible disk, CD-ROM (Compact Disc Read Only Memory), optical disk, magneto-optical disk, DVD (Digital Versatile Disk), etc. Recording medium is used.
[0076]
The above-described program and data can be stored in the portable recording medium 29 and loaded into the memory 22 for use as required.
The network connection device 27 communicates with an external device via an arbitrary network (line) such as a LAN and a WAN, and performs data conversion accompanying the communication. Further, if necessary, the above-described program and data can be received from an external device and loaded into the memory 22 for use.
[0077]
FIG. 26 is a diagram for explaining a computer-readable recording medium and transmission signals that can supply programs and data to the computer of FIG.
[0078]
By supplying the above-mentioned program and data stored in each table to the computer 20 as follows, it is possible to cause the computer 20 to perform the above-described functions. For this purpose, the above-described program and data are stored in advance in a computer-readable recording medium 29.
[0079]
Then, the program or the like is read from the recording medium 29 using the medium driving device to the computer 20, temporarily stored in the memory 22 or the external storage device 25 of the computer 20, and the stored program is read by the CPU 21 of the computer 20. Let it run.
[0080]
Instead of causing the computer to read the program from the recording medium 29, the program may be downloaded from a database owned by the program (data) provider via a communication line (network).
[0081]
As mentioned above, although embodiment of this invention was described, this invention is not limited to embodiment mentioned above, Various other changes are possible.
[0082]
[Industrial application fields]
As described above, according to the present invention, a word included in a message (file) is searched, and a search date and a search source of a message including the word, and a writing date and a writing destination information of the message including the word are obtained. By recording in a personal word dictionary database, reading the information recorded in the database at regular intervals, and determining whether a specific word contained in the file has been sent from a specific individual since a specific date It is possible to automatically detect a bottleneck, propose a detour route, and provide corresponding advice in detecting an error.
[Brief description of the drawings]
FIG. 1 is an overall system diagram of a word information utilization management evaluation device of this example.
FIG. 2 is a diagram illustrating the configuration of a personal word dictionary database.
FIG. 3 is a diagram showing a configuration of a user basic information database.
FIG. 4 is a diagram showing the configuration of a word-by-word usage summary database.
FIG. 5 is a diagram showing a configuration of an advice editing database.
FIG. 6 is a diagram for explaining a mechanism structure of a company described in this example.
FIG. 7 is a flowchart illustrating processing of this example.
FIG. 8A is a diagram showing information recorded in the president's personal word dictionary database. (B) is a figure which shows the state of the personal word dictionary database of a business manager. (C)-(e) is a figure which shows the state of the input history of the manager's personal word dictionary database.
FIG. 9 is a diagram for explaining processing when data is recorded in a personal word dictionary database.
FIG. 10 is a schematic diagram for grasping a bottleneck.
FIG. 11 is a flowchart illustrating a bottleneck detection process.
FIG. 12 is a schematic diagram for grasping a detour route.
FIG. 13 is a flowchart for explaining processing in proposing a detour route.
FIG. 14 is a diagram illustrating an example of a bottleneck pre-history accumulation table.
FIG. 15 is a flowchart illustrating a process for indicating a possibility of an error.
FIG. 16 is a diagram illustrating a data configuration example of a personal word dictionary database of a business manager.
FIG. 17 is a diagram for explaining a definition example of a related word group designation table.
FIG. 18 is a flowchart for explaining information leakage detection;
FIG. 19 is a diagram for explaining information leakage detection;
FIG. 20 is a flowchart illustrating information penetration degree detection processing;
FIG. 21 is a diagram illustrating an example of a consciousness questionnaire.
FIG. 22 is a flowchart for explaining a possibility of an error on the client side.
FIG. 23 is a diagram for explaining an example of a logical table that automatically points out related word groups;
FIG. 24 is a diagram for explaining a possibility of an error on the client side.
FIG. 25 is a configuration diagram of an information processing apparatus.
FIG. 26 is a diagram illustrating a recording medium.

Claims (4)

On the computer,
Receiving, from a terminal connected via a network, a search history and a writing history of words included in a file transmitted and received by the terminal;
Recording the search history and the writing history in a database storing the word searching history and the writing history for each terminal; and
When there is a terminal that does not transmit or receive a file including a specific word designated in advance by a user with reference to the database, generating report information about the terminal; and
Transmitting the generated notification information to a predetermined terminal;
Word information utilization management evaluation program characterized by operating When the notification information generation circuit exceeds a predetermined number of times, referring to the database and extracting another terminal serving as a detour path; and
Generating detour terminal information about the other terminal;
Transmitting the bypass terminal information to a predetermined terminal;
The word information utilization management evaluation program according to claim 1, comprising: On the computer,
Receiving, from a terminal connected via a network, a search history and a writing history of words included in a file transmitted and received by the terminal;
Recording the search history and the writing history in a database storing the word searching history and the writing history for each terminal; and
When there is a terminal that does not transmit or receive a file including a specific word designated in advance by a user with reference to the database, generating report information about the terminal; and
Transmitting the generated notification information to a predetermined terminal;
A computer-readable recording medium on which a word information utilization management evaluation program is recorded. A database storing word search history and writing history for each terminal;
Means for receiving, from a terminal connected via a network, a search history and a writing history of words included in a file transmitted / received by the terminal;
Means for recording the search history and the writing history in the database;
Means for generating report information related to the terminal when there is a terminal that does not transmit or receive a file including a specific word designated in advance by the user with reference to the database;
Means for transmitting the generated notification information to a predetermined terminal;
A word information utilization management evaluation device comprising:

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