JP3647671B2 - Information sharing system and information maintenance management method thereof - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention provides information such as knowledge, know-how possessed by individuals, documents created by individuals, computer software, copyrighted works such as paintings and knowledge of fields owned by a specific group, etc. on a computer network. It is related with the information sharing system which makes it public and can share via a computer network.
[0002]
[Prior art]
In recent years, electronic bulletin boards on the computer network, Internet homepages, and the like have been used as means for sharing information on the computer network. As the network environment has been improved and the prices of information communication devices and storage devices have been reduced, individuals and organizations can easily send and receive information using these means.
[0003]
For example, many homepages have been established on the Internet, and a variety of information can be examined by using a search service on the Internet. In a local network, information transmission and reception within an organization can be performed using, for example, an electronic bulletin board on a personal computer.
[0004]
Under such an environment, information provision itself has been performed as a service on the Internet. For example, there is a place where a help desk, which is an inquiry window from a manufacturer's customer, discloses useful troubleshooting information to contract users via the Internet. In such a help desk, the quality and quantity of information itself provided is important because it differentiates it from other help desks.
[0005]
With regard to information sharing within an organization, it has become possible for an individual to directly transmit information without going through a conventional organizational hierarchy. By disclosing information voluntarily, it becomes easier to appeal its characteristics and results, and if high-quality information is shared in large quantities, the intellectual productivity of the entire organization is improved.
[0006]
[Problems to be solved by the invention]
The above information sharing means has almost no function for maintaining the quality of information. However, the quality of information deteriorates over time, such as the contents becoming incorrect. For example, the troubleshooting information at the help desk needs to be inspected due to changes such as improvement of product functions. The information sharing means described above is not provided with a function for supporting such inspection.
[0007]
For example, in the Internet home page, the management of information described therein is left to the home page creator, and even if there is a change in the external situation, the system side does not actively encourage the review. The electronic bulletin board may have a function of automatically deleting old information, but it is counterproductive when there is useful information even if it is old. Such a function may be flow information (information for the purpose of communication such as communication items), but cannot correspond to stock information (information intended to be accumulated and shared for a long time).
[0008]
In the end, in order to maintain the quality of information in a conventional information sharing system, all information accumulated by humans must be reviewed periodically and corrected as necessary. This is not a very practical means in the recent situation where information transmission is simplified and a large amount of information is accumulated.
[0009]
Therefore, with traditional information sharing, you have the choice between accumulating large amounts of low quality information that you do n’t know is right or useful, or narrowing down the amount of information to maintain quality, A large amount of information that can be guaranteed to be useful to users could not be shared.
[0010]
The present invention has been made in view of the above problems, and by detecting what needs to be reviewed from the accumulated information, prioritizing it and notifying the administrator of the shared information, it is possible to efficiently An object is to provide an information sharing system capable of reviewing information.
[0011]
[Means for Solving the Problems]
  aboveIn order to achieve the object, the information sharing system of the present invention includes an information storage means for storing a plurality of pieces of information together with an update history and a use evaluation record, and each of the plurality of pieces of information according to the number of updates of the update history and its time interval. Means for predicting the reliability of the information, means for calculating the validity of each of the plurality of pieces of information based on the use reference count of the use evaluation record and the evaluation value for the information in the reference, and the reliability of each of the pieces of information And means for detecting information to be updated based on the validity, and information detected by the detection means based on the number of updates of the information, the time interval, the number of references, and the evaluation value in the reference And a means for making a classification determination for a preset update reason and presenting the determined update reason together with the identification of the information. It is intended.
[0012]
  In order to achieve the above object, the information sharing system of the present invention includes information storage means for storing a plurality of information, document analysis knowledge data necessary for document analysis including syntax analysis knowledge, and representation of natural language sentences. Knowledge data means for storing vocabulary knowledge data describing relations between vocabulary related to objects and other things and other vocabularies related or restricted thereto, morphological analysis of the contents of each of the stored information, and the document analysis knowledge data The document analysis result with reference to the vocabulary knowledge data, the determination means for determining the reliability of each of the accumulated information, the terms related to the contents of the plurality of information and the use of the information Detecting information that needs to be updated based on the reliability determined by the determining means with reference to vocabulary knowledge that describes the relationship with terms, and detecting the required update. It is characterized in that the that information and a presentation unit which presents with lexical knowledge that the reference.
  Furthermore, in the information sharing system of the present invention, information detected by the detection means from the plurality of information is deleted from the information storage means.
[0013]
  In order to achieve the above object, the information maintenance management method of the information sharing system of the present invention includes a step of accumulating a plurality of pieces of information together with an update history and a usage evaluation record, and the number of updates of the update history, Predicting the reliability of each of the plurality of information according to a time interval; calculating the effectiveness of each of the plurality of information according to a user reference count of the usage evaluation record and an evaluation value for the information in the reference; A step of detecting information to be updated based on the reliability and validity of each of the plurality of pieces of information, and information detected by the detection step, the number of times of updating the information, a time interval, and a reference Based on the number of times and the evaluation value in the reference, the step of determining the classification for a preset update reason, together with the identification of the information, Characterized by comprising a step of presenting the boss was updated reason.
[0014]
  In order to achieve the above object, the information maintenance management method of the information sharing system according to the present invention includes a step of accumulating a plurality of information, document analysis knowledge data necessary for document analysis including syntax analysis knowledge, and natural information. A step of storing vocabulary knowledge data that describes the relationship between the vocabulary related to the representation of language sentences and things and other vocabularies that are related or constrained thereto, the morphological analysis of the contents of each of the stored information, and the document analysis knowledge A step of determining the reliability of the accumulated information by referring to the vocabulary knowledge data for a result of document analysis with reference to data, a term relating to contents of the plurality of information, and a term relating to use of the information And detecting the information that needs to be updated based on the reliability determined in the determining step, and the detected update. Characterized by comprising the steps of presentation with lexical knowledge that the reference information that requires.
[0015]
DETAILED DESCRIPTION OF THE INVENTION
(First embodiment)
Embodiments of the present invention will be described below with reference to the accompanying drawings. FIG. 1 shows a schematic block diagram of an embodiment of an information sharing system for realizing the invention according to claim 1. In FIG. 1, the information sharing system 10 includes a reliability prediction unit 1, an effectiveness calculation unit 2, a presentation unit 3, and a detection unit 4. In this embodiment, the information sharing system 10 includes an input / output unit 9 that receives input from a user and a storage unit 8 that stores information.
[0016]
The accumulating unit 8 accumulates information such as documents describing individual knowledge and know-how, computer software, and pictures. In addition, a history of user operations performed on each information is also accumulated.
[0017]
The input / output unit 9 includes a device that gives instructions to the system such as a keyboard and a mouse, and a device that presents information from the system such as a display to the user. In this embodiment, the storage unit 8 is a database on a computer, and the input / output unit 9 is a computer input device and a screen. However, in the present invention, the forms of the storage unit 8 and the input / output unit 9 are not limited. .
[0018]
The user uses the input unit 9 to give a request for information registration, search, presentation, etc. to the system. The system operates the storage unit 8 in accordance with the request, and presents the result to the user through the input / output unit 9.
[0019]
The reliability prediction unit 1 is a means for predicting the possibility of the accuracy of information stored in the storage unit 8 at a certain point in time from the interval at which the information was updated in the past. The validity calculation unit 2 is a unit that calculates the validity of the information at a certain point of time based on the user's operation on the information stored in the storage unit 8.
[0020]
The presenting unit 3 is a means for receiving the output results of the reliability predicting unit 1 and the effectiveness calculating unit 2 as input and determining whether or not the information needs to be reviewed and presenting the result to the user together with the reason for the determination. is there.
[0021]
FIG. 2 shows an example of the contents of information stored in the storage unit 8 in the information sharing system 10 according to the first embodiment. Each type of information includes an information identification number 21, an attribute 22, and an attribute value 23 as shown in FIG. The attributes include title, registered user ID, registration date, classification indicating information type (know-how, document, software, image data, etc.), related information, keywords for search, contents, reference history, and the like. Each information is added with a history of operations such as reference, correction, and evaluation performed by the user.
[0022]
FIG. 3 is an example of a file for storing an evaluation list added to information. A list 32 of evaluations added to the information attribute 31 is accumulated as a table of dates, evaluators, and evaluation contents. FIG. 4 is an example of a file for storing a list of operations performed on information. A list 42 of operations performed by the user on the information attribute 41 is stored as date, user ID, and operation content information.
[0023]
In the example of FIG. 2, the information, the evaluation history for the information, and the operation history are stored on the same medium. However, in the present invention, the storage method, for example, information attribute information and information content (document, software, It is not limited whether the image data is stored in the same medium, and whether the information and the evaluation history for the information are stored in the same medium. For example, the content of information may be on another system connected via a network.
[0024]
5 and 6 show an embodiment of a user interface for a user to search and reference information via the input / output unit 9. In FIG. 5, the information search window 51 includes a search request input unit 52 and a main screen 53. The user inputs a search request for information into the system on the search request input unit 52.
[0025]
The search request is given a logical expression of keywords such as “Business trip report and (creation date = September 1998)”, and a natural language sentence such as “Show me an example of a business trip report created last September” It is done. The system searches for information satisfying the input search request from the information stored in the storage unit 8 and outputs the result on the main screen 53. FIG. 5 shows an output example of the search result. When there are a plurality of pieces of information that satisfy the search request, the system displays the titles of those pieces of information as a list. The target information is specified by the user selecting information to be referred to from the subject list.
[0026]
In FIG. 5, a subject list of a plurality of information is displayed on the main screen 53. FIG. 6 is a display example of a screen on which a user refers to the information of FIG. 5 through the information reference unit.
[0027]
The user can input an evaluation into the information presented by the system in response to the search request. FIG. 7 is an example of a user interface for a user to input an evaluation for information via the input / output unit 9 and the presentation unit 3. User. By instructing buttons 72 such as “very useful” and “useful” on the evaluation input window 71, an evaluation for information can be input. It is also possible to input a more detailed evaluation on the comment input form 73.
[0028]
Next, the presentation unit 3 of the information sharing system 10 in FIG. 1 detects information that needs to be reviewed from the values calculated using the results of the reliability prediction unit 1 and the effectiveness calculation unit 2 as scale factors, and the detected information is Explain the information maintenance and management methods to be presented together with the reason for review.
[0029]
FIG. 7 is a flowchart showing a flow of processing in which the presentation unit 3 presents information that needs to be reviewed to the administrator. First, the presentation unit 3 obtains the reliability x (i) of the information from the reliability prediction unit 1 for certain information (step S501).
[0030]
Hereinafter, a method in which the reliability prediction unit 1 predicts the reliability of information in the storage unit 8 will be described. Assume that the total number of information stored in the storage unit 8 is N, and the set of information is D = {d (1), d (2),..., D (N)}.
[0031]
Further, the number of times the review is performed for each element of D is C = {c (1), c (2),..., C (N)}.
That is, the i-th element d (i) of D has been reviewed c (i) times by a certain time after registration.
[0032]
The interval of time (days) at which d (i) is updated is represented by {t_i1, T_i2, T_i3, ..., t_{ic (i)}, T_{ic (i) +1}}.
[0033]
Where t_{ic (i) +1}Represents the number of days that have elapsed since the last change. The default value of the review interval set by the administrator is TH.
[0034]
The reliability predicting unit 1 obtains the number of times c (i) at which the data d (i) has been reviewed. If c (i) = 0, i.e. if the information d (i) has not been reviewed since registration, t_i1Let / TH be the reliability x.
[0035]
If c (i) ≠ 0, the next review interval is predicted from the previous review interval. For each j where 0 <j <c (i) +1, p_i(J) × t_ij  Is calculated by adding This is TH (i). (1)
Where p_i(J) is a weight parameter used for reliability prediction. For example, p_i(J) = a_iXj + b_i      ... expressed by the formula (2).
[0036]
P_i(1) + p_i(2) + p_i(3) + ... + p_iThe condition (c (i)) = 1 is satisfied. In the present embodiment, the weight parameter is mapped on a single straight line equation defined by equation (2), but the method of determining the parameter is not limited.
[0037]
For TH (i) obtained in (1), t_{ic (i) +1}/ TH (i) is calculated and set as reliability x (i). The reliability x (i) has a value of 0 when the information is registered or reviewed, and then increases with the passage of time. Information whose reliability value exceeds 1 is information that has not been reviewed even after the review time expected by the system has passed.
[0038]
Next, the validity y (i) of the information is obtained from the validity calculation unit 2 (step S502). Hereinafter, a method by which the validity calculation unit calculates the validity of information will be described. Let r (i) be the number of times the user has referred to the information d (i) stored in the storage unit 8.
[0039]
Also, the evaluation value e (i) of the information d (i) is calculated from the evaluation input by the user for the information in the screen example shown in FIG. In the example of FIG. 7, evaluations of “very useful”, “useful”, “insufficient information”, and “old information” can be input to the information. The value e (i) is obtained. Note that E = {e (1), e (2),..., E (N)}.
[0040]
The operation performed by the user on the information d (i) is represented by {o_i1, O_i2, O_i3, ..., o_{ir (i)}}. Here, r (i) is the number of operations performed on the information d (i). In addition, the time when each operation is performed is represented by {T_i1, T_i2, T_i3, ..., T_{ir (i)}}.
[0041]
Each operation o_ijEvaluation value v (o_ij) Is defined as follows.
v (o_ij) = 1 (o_ijIs a reference)
v (o_ij) = 2 (o_ijIs rated "useful")
v (o_ij) = 3 (o_ijIs rated "very useful")
When the current time is tt, the score e (i) of the information d (i) is calculated as follows.
e (i) = v (o_i1) / (Tt-T_i1) + V (o_i2) / (Tt-T_i2) + ... + v (o_{ir (i)}) / (Tt-T_{ir (i)}(3)
Finally, the effectiveness y (i) is changed to y (i) = e (i) / AVE (E) (4)
It is calculated by the following formula.
[0042]
Here, AVE (E) is an average value of e (i) for all data stored in the storage unit 8. Effectiveness y (i) shows a high value when information is frequently referred to recently and high evaluation is obtained.
[0043]
A procedure for determining whether the detection unit 3 should review the information based on the reliability x and validity y of the information calculated by the method described so far will be described below.
[0044]
The presentation unit 3 uses the reliability x (i) of the information and the validity y (i) to determine w (i) = (x (i) × x (i) + y (i) × y (i))^1/2  ... The value of (5) is obtained (step S503).
[0045]
This w (i) is compared with a predetermined threshold value TH1 (S504). FIG. 9 shows a two-dimensional space with x (i) and y (i) as axes. Here, w (i) is a distance from the origin to a certain coordinate, and whether w (i) is larger than the threshold value TH1 results in whether or not it enters the inside of the circle 91 in the two-dimensional space. Information d (i) in which w (i) is plotted outside the circle is information that needs to be reviewed, and information d (i) plotted inside the circle is information that does not need to be reviewed. It is done.
[0046]
If w (i) is smaller than the threshold TH1, the system checks whether the reliability x is larger than 1 (S505).
[0047]
If it is greater than 1, the information d (i) has exceeded the review period predicted by the system. Moreover, since w (i) is small, it is considered that the effectiveness of d (i) is not so high. Therefore, the system performs processing such as lowering the priority of retrieval of information d (i) or automatically deleting it (S509).
[0048]
When w (i) is larger than the threshold value TH1, the presentation unit 3 obtains a reason for reviewing the information d (i) (S506).
[0049]
First, it is checked whether or not the reliability x (i) is larger than 1. When x (i)> 1, the information d (i) is information that has exceeded the review period predicted by the system and has been evaluated to some extent by the user. Therefore, the presentation unit 3 searches the past evaluation history added to the information d (i), and obtains the usage status such as “the number of reference is large” or “having a high evaluation”. This determines the reason that “the review period has passed but the evaluation is high”.
[0050]
If x (i) <1, but w (i) is greater than TH1, effectiveness y (i) indicates a high value, that is, information d (i) is recently high. Since it can be said that the evaluation has been obtained, the presenting unit 3 determines the reason that “the review deadline is not reached, but the content needs to be confirmed because the evaluation is high”. It is also possible to add the result of the reference count and the evaluation value obtained from the evaluation history.
[0051]
Next, the presentation unit 3 requests the administrator to perform an operation for correcting or deleting the content (S507). Here, the reason determined in the previous step S506 is also presented.
[0052]
FIG. 10 is a display example of a screen requesting the administrator to correct / delete information. On the information management request window 100, an attribute 101 such as ID, title, author, etc. of information to be corrected / deleted is displayed, and a reason 102 for requesting deletion / correction of information is displayed below it. Yes. When the administrator designates the information deletion button and the correction button 103, the information can be corrected and deleted.
[0053]
Further, by instructing the notification cycle change button 104, an instruction to extend the notification cycle by the presentation unit 3 is given, that is, a in equation (2)_iThe value of can be reduced.
[0054]
FIG. 11 shows another display example of a screen requesting the administrator to correct / delete information. In this example, w (i) for all information is calculated and presented in descending order. In addition to the title of each information, the value of w (i) for the information and the reason why correction / deletion is necessary are presented. As a result, a list of information that needs to be corrected or deleted as soon as possible can be presented to the administrator in the order in which the review is necessary.
[0055]
In the example of FIG. 11, w (i) is displayed as a numerical value. However, in the present embodiment, the display method is not limited to this method. For example, it may be displayed as a bar graph instead of a numerical value, or an arrow may be displayed as a vector on the x (i), y (i) plane.
[0056]
Further, the reason for determining that correction is necessary is not limited to the method of FIG. For example, instead of displaying the reason directly, a method of changing the character of the title part or the above bar graph-like display depending on the type of reason may be considered.
[0057]
Next, the presentation unit 3 confirms that the reliability prediction unit 1 and the effectiveness calculation unit 2 have performed operations related to the information after correcting or deleting the content of the information according to the operation from the administrator. Notice.
[0058]
The reliability prediction unit 1 changes parameters used for reliability prediction in accordance with the notification content (S508). In this embodiment, the weight parameter determination formula shown in Formula (2), p_i(J) = a_iXj + b_iThe slope a_iAnd initial value b_iTo change. If there is an instruction to shorten the notification cycle, a_iIf you are instructed to increase the value_iReduce the value of. Accordingly, p_iB so that the sum of (j) is 1_iAdjust the value of.
[0059]
Although the method for obtaining the reliability x (i) and the validity y (i) of the information has been described in the explanation of steps S501 and S502 in the flowchart of FIG. 8 of the present embodiment, the reliability and validity are improved in the present invention. The method to obtain is not limited to this.
[0060]
For example, in the process of obtaining x (i) in step S501, the equation (2) for determining the weight parameter is expressed as_iBy setting (j) = 1 / c (i), the average of the review intervals so far can be used as the predicted value of the next review interval.
[0061]
In addition, when calculating TH (i) in (1), TH (i) is not added for all j satisfying 0 <j <c (i) +1, but in total for a predetermined constant m times. It is also possible to ask for
[0062]
Further, the number of times of reviewing information d (i) X = {1, 2,..., C (i)} and the interval Y = {t until each reviewing operation._i1, T_i2, ..., t_{ic (i)}} Is approximated as a regression line Y = AX + B, the time interval until c (i) + 1st review is predicted using parameters A and B of this line, and the value is used as TH (i). A method is also conceivable.
[0063]
Even in the process of obtaining y (i) in step S502, v (o_ijThe score for each evaluation content when determining the value of) is not limited to the numerical value of the present embodiment. Further, equation (3) for obtaining e (i) is not limited to this calculation method. Further, in the equation (4), normalization is performed with the average value of e (i) for all data, but it is also conceivable that this is also normalized with a predetermined constant instead of the average value.
[0064]
Also, the method of inputting an evaluation for information by the user shown in FIG. 7 is not limited to the method of this embodiment with respect to the type of evaluation to be input or the input method. Further, the evaluation input interface as shown in FIG. 7 is not essential for realizing the present claims. For example, it is possible to calculate the effectiveness from only the number of information references without using the interface for evaluation input. In that case, V (o) used in equation (3)_ij) Should be a constant.
[0065]
This content is not limited even in the part shown in step S508 in which parameters for calculating reliability and effectiveness are changed based on the operation result. Whether or not to execute step S508 is not limited in the present invention.
(Second Embodiment)
FIG. 12 is a schematic block diagram of an information sharing system that implements an information maintenance / management system according to an embodiment of the present invention. 12, the information sharing system includes an information registration unit 121, an information reference unit 122, a document analysis unit 123, a reliability determination unit 124, a review information detection unit 125, a detection information presentation unit 126, a public information storage unit 127, and a document analysis. It comprises knowledge 128, vocabulary knowledge 129, and input / output unit 1210. The information registration unit 121 generates information such as documents, computer software, and pictures describing knowledge and know-how and stores the information in the public information storage unit 127.
[0066]
The information reference unit 122 is for the user to search, reference, and use information stored in the public information storage unit 127. The document analysis unit 123 analyzes the information content stored in the public information storage unit 127 and understands the description content. The document analysis knowledge 128 describes knowledge necessary for document analysis, such as syntax analysis knowledge, and is referred to during document analysis. The vocabulary knowledge 129 describes knowledge about natural language sentence expressions and things, and the reliability determination unit 124 is based on document analysis results and vocabulary knowledge. Determine sex.
[0067]
The review information detection unit 125 checks whether or not the information detected by the reliability determination unit needs to be updated, and detects information that needs to be reviewed. When presenting the review information, the detection information presentation unit 126 presents information using the document analysis result as the reason why the review is necessary.
[0068]
13 and 14 show information contents stored in the public information storage unit in such an information sharing system. As shown in FIG. 13, each type of information includes an information identification number 130, an attribute 131, and an attribute value 132. Attributes include title, publisher, publication date, classification representing know-how, software, painting, etc., business classification, classification representing topic or other information category, related information, keywords for search, contents, reference history, etc. is there.
[0069]
FIG. 13 is an example of know-how information. The title is a lecture holding procedure, the publisher is Taro Yamada, the publication date is October 1, 1995, the type is know-how, the classification is visitor service, and the related information is a request document. (Information identification number # 200), list of academics (# 350), keywords indicate lectures, visits, university professors and agenda, and the contents of the procedures (1) to (7) is described. Furthermore, as an additional history of additional information, an identification number stored in a semantic relationship storage unit that stores the semantic relationship between additional information and public information is described. In this example, / log / # 24, / log / # 38, / log / # 105.
[0070]
FIG. 14 shows an example of computer software. The title is a budget management program, the publisher is Momoko Yoneyama, the release date is May 10, 1993, the type is software, the classification is budget management, and related information is arranged. List of requests, keywords are budget, purchase schedule, overtime, contents are program files / etc / yosan-kanri, additional history is / log / # 60, / log / # 62, / log / # 120. .
[0071]
Next, a method for inputting information via the information registration unit 1 will be described. FIG. 15 is a diagram illustrating an example of a user interface of the information registration unit. The information registration window 151 includes a main screen 152 and a control panel 153.
[0072]
The [Classification designation] button 154 on the control panel 153 is for designating the classification of information. The classification, which is one of the attributes of information stored in the information storage section, also indicates the business classification or information category to which the information belongs. A user who accumulates information designates a classification related to the information via the information registration unit, so that the information is accumulated in the information accumulation unit in association with the classification. When an information publisher (hereinafter referred to as a user) selects the [Specify Classification] button 154 on the control panel 153, a conceptual diagram of a classification system related to information is displayed on the main screen 152 in a network form, for example. The The user associates the classification with the information to be registered by selecting one or more classifications from the classifications displayed on the window 152.
[0073]
[Information input] button 155 on control panel 153 is used to instruct to switch to a mode for inputting public information. When the user selects the [information input] button 155 on the control panel 153, the main screen 152 is switched to a screen for inputting information contents.
[0074]
FIG. 16 shows an embodiment when the user inputs text format information on the information registration window. The user inputs the title, type, format, and content of the information to be entered and published. The contents can be input directly, or by specifying a specific file name that has already been edited, the contents of the file can be disclosed as information. In this example, the format of information disclosed by the user is text, but the information registered in the information storage unit in the information sharing support system is not limited to text format, and still images, moving images, audio, programs It is also possible to share information such as the execution format by specifying the file name.
[0075]
Next, a method for searching and referring to public information stored in the information storage unit via the information reference unit 122 will be described.
[0076]
17 and 18 show an embodiment of a user interface for searching and referring to information through the information reference unit. In FIG. 17, the information search window 171 includes a main screen 172 and a control panel 173. An information referrer (hereinafter referred to as a user) designates search target information by selecting a [classification designation] or [keyword designation] button on the control panel.
[0077]
For example, by instructing the [Specify Classification] button 174, a conceptual diagram representing a classification system of target information is displayed on the main screen 172, and the corresponding classification is selected. When the user designates the [Execute Search] button 175 on the control panel 173 after designating a category or keyword, information related to the designated category or set of keywords is retrieved. When there are a plurality of search results, the information reference unit displays a subject list of each information, and the user selects information to be referred to from the subject list, thereby specifying target information. In FIG. 17, a plurality of information subject lists are displayed on the main screen 172. FIG. 18 is a display example of a screen on which the user refers to the information of FIG. 17 via the information reference unit.
[0078]
Next, in such an information sharing system, in order to update the document content when the registered document content is out of date or incorrect, the document content is analyzed, a document that needs to be reviewed is detected, The flow of processing presented to the system administrator will be described.
[0079]
FIG. 19 shows the contents of the document analysis knowledge 128 that is referred to when the document analysis unit 123 analyzes the document. FIG. 19 shows document analysis knowledge used to detect, for example, obsolete document content. 190 is knowledge for classifying the description of the document content. The knowledge is composed of an expression classification 192 and an expression set 193. The expression classification: : (Sub-classification): defined as an expression set.
[0080]
For example, among the classifications representing “time”, as expressions representing “period”, “from <date> (expression pattern representing time expression) to <date>”, “between <date>”, “<any>” (Unspecified expression pattern) Expressions such as “period” and “when” are defined. Reference numeral 191 denotes a definition of an expression pattern described in the knowledge described in the knowledge 190, and is composed of an expression pattern identifier 194 and definition contents 195.
[0081]
For example, the expression <date> matches any or all of the three expressions "<num> year", "<num> month", and "<num> day" (<num> is a number). (() Indicates an expression group, [] + indicates that it matches one or more expressions in the expression group), <num> months ”, or <num> weeks” Defines matching.
[0082]
The document analysis unit 123 analyzes the document with reference to such document analysis knowledge. First, morphological analysis is performed on the registered document, and after the document is decomposed into morphemes, it is checked whether each morpheme matches the expression pattern of the document analysis knowledge 128. If there is a match, the expression classification is added as additional information at the position where the matched expression appears in the document.
[0083]
FIG. 20 shows, for example, the contents of vocabulary knowledge 129 that is referred to when recommending information is presented at a certain time or when frequently searched information is estimated. Vocabulary knowledge is described as a set of terms 201 and constraint descriptions that appear in the document. In this case, for example, the description about Hatsumode indicates that it is strongly related to December. For example, since it is often referred to in December, the content must be reviewed before December. Recommended information in December It can be used as a presentation. In addition, the restrictions described in the vocabulary knowledge include urgency such as whether the term is always related to business or is a term related to frequently referred documents.
[0084]
The reliability determination unit 124 determines the reliability of registered contents with reference to the document analysis result and vocabulary knowledge. Information with low reliability is, for example, old information. Therefore, determining whether information is stale is one example of determining reliability. The method for determining whether the information is old includes, for example, an expression whose expression classification is time, money, person / organization, document, address (address, telephone number, URL, etc.) as an analysis result of the document analysis unit 123. Document. In response to this result, the review information detection unit 125 presents a document that needs to be reviewed to the system administrator and prompts correction.
[0085]
FIG. 21 shows a processing flow of the reliability determination unit 124, the review information detection unit 125, and the detection information provision unit 126. First, the document is analyzed (S211), and the expression classification is extracted (S212). In the case of this embodiment, since it is an example of determining whether the content is old or not, it is checked whether or not the expression classification is likely to change over time (S213). If there is a corresponding expression classification, it is stored in the corresponding document list (S214). If not, the next document is inspected (S215).
[0086]
Next, vocabulary knowledge is referred to for a document having the corresponding expression classification, and it is checked whether there is a description that matches the vocabulary in the document (S216). In the case of this embodiment, contents highly relevant to the current time are inspected (S217). For example, if the current time is December, it is checked whether or not it includes vocabulary such as “year-end adjustment”, “year-end party”, “banquet”, etc., in which “period = December” is set.
[0087]
If there is a corresponding document, the priority of the presentation order is increased (S218). This process is performed for all documents, and finally the documents accumulated in the corresponding document list are rearranged in order of priority and presented (S219).
[0088]
FIG. 22 is an example of the display screen of the detection information providing unit 126. A list of documents detected by the review detection unit 125 and required to be reviewed is displayed in order of priority. Reference numeral 220 denotes a document title, 221 denotes an expression classification indicating the reason for correction, 222 denotes a priority, 223 denotes an excerpt of a review part (a part where an expression pattern of the expression classification appears). For example, in the document “Short-range daily allowance”, the expression classification is the amount and the priority is “always urgent”. Always-urgent indicates that it is highly urgent because it is frequently referenced regardless of the season.
[0089]
On the other hand, the “communication ticket purchase method” is always referred to, but it is “always” because the frequency is low. Also, in “Short-range daily allowance”, since the portion where “daily allowance is 1000 yen” is an expression pattern corresponding to the expression classification, the corresponding portion is displayed in reverse.
[0090]
FIG. 23 and FIG. 24 are screen examples in which the review document is presented to the system administrator. The portion that needs to be reviewed, that is, the portion whose expression classification matches the item that needs to be corrected is highlighted (230). In this case, it is urged to review the portion where the money expression of 1000 yen appears. On the other hand, the system administrator can correct it by himself, but in this example, “correction request” is selected from the menu 231 to prompt the information publisher to make corrections. Then, as shown in FIG. 24, an additional information input window 242 is displayed, in which the contents of the correction request are described and transmitted to the information publisher.
(Third embodiment)
Next, a third embodiment of the invention will be described. FIG. 25 shows a functional configuration of an information maintenance / management system according to the third embodiment of the present invention.
[0091]
This information maintenance and management method is used at customer consultation desks that answer customer inquiries. From the history of individual inquiries, a generalized assumption inquiry case is created for the contents of frequent inquiries. Is published as public document data that can be directly searched.
[0092]
The public database 251 stores information that can be disclosed and directly searched by customers. Similar to the first embodiment, keyword logical expressions and natural language sentences can be retrieved as retrieval requests. For example, in response to a search request for a natural language sentence, similar information can be searched using the angle between the free word vector extracted by morphological analysis and the free word vector of each information in the public database 251 as the similarity. (It is determined that the closer the angle is to 0, the more similar).
[0093]
The non-public database 252 stores inquiries sent to customer consultation counters from routes other than the public database 251 and the contents of responses from the customer counseling staff in response to the inquiries.
[0094]
The validity calculation unit 253 applies the content of access to the public database 251 by the user to the private database 252 and obtains the validity of each information in the private database 252 based on the result.
[0095]
The detection unit 254 detects information to be moved to the public database 251 in the private database 252 based on the validity obtained by the validity calculation unit 253. The presentation unit 255 presents the information detected by the detection unit 254 together with the result of the effectiveness calculation unit 253.
[0096]
The third embodiment will be specifically described below. FIG. 26 shows an example of information stored in the public database 251. Here, assumed inquiry cases that frequently occur with respect to a certain product group are accumulated. FIG. 27 shows an example of information stored in the private database 252. Here, the contents of the inquiry sent to the customer consultation counter by telephone or FAX and the contents of the response of the person in charge of the inquiry are stored.
[0097]
The information in the private database 252 is log information of inquiries sent to the customer consultation desk, and is not necessarily high-quality information that is meaningful to other customers. Since disclosure of low-quality information leads to degradation of service for the customer consultation service, the non-public database 252 is not disclosed to the customer here.
[0098]
Now, it is assumed that an inquiry shown by reference numeral 281 in FIG. 28 is input from the user to a search unit different from the present invention. The search unit 254 searches the public database 251 by a known search method and presents the result to the user. Here, the query that is searched for the public database 251 in this way is input to the effectiveness calculation unit 253.
[0099]
The validity calculation unit 253 having input FIG. 28 calculates the validity of the information in the private database 252 according to FIG. Here, the search performed by the effectiveness calculation unit 253 is assumed to be a conventionally known method. The input to the effectiveness calculation unit 253 may be other than an inquiry to the public database 251.
[0100]
For example, when the user browses the information in the public database 251, the content of the browsed information such as 282 may be used as the input to the validity calculation unit 253. In this case, the effectiveness calculation unit 253 may perform a search called a similar document search. That is, instead of a user inputting a search request for a natural language sentence, the browsed document may be searched as a search request.
[0101]
For example, SCORE in FIG. 29 is obtained as follows. SCORE = (11−RANK) * s (11−RANK). Here, RANK is a rank in the non-public database in the search by the effectiveness calculation unit 253. Further, s (n) is a step function, and takes a value of s (n) = 1 when n> 0 and s (n) = 0 when n ≦ 0.
[0102]
That is, the information that was ranked first as a result of the search has a SCORE of 10, and becomes 9, 8,. The SCORE of the 10th information is 1, and the SCORE is 0 for all the information of the 11th and lower.
[0103]
For example, if 271 in FIG. 27 is second in the search by the effectiveness calculation unit 253, the SCORE is 9, and the effectiveness of 271 is 32 according to FIG. As a result, the information in the non-public database 252 becomes as 301 in FIG.
[0104]
SCORE may be determined by other criteria. For example, it is conceivable to use a method for obtaining not only the rank but also the score and the similarity between the search request and the information as a reference for the SCORE.
[0105]
Receiving the result of the effectiveness calculation unit 253, the detection unit 254 detects information to be moved to the public database 251 in the private database 252 according to FIG. For example, THRESHOLD in FIG. 31 has a value such as THRESHOLD = 30.
[0106]
In other words, the detection unit 254 detects information in the private database 252 corresponding to the SCORE being selected as the first place three times for the input query as information to be moved to the public database 251.
[0107]
For example, 301 in FIG. 30 has an effectiveness of 32 and is larger than THRESHOLD = 30 here, and is detected as information to be moved to the public database 251 in FIG. THRESHOLD may be determined based on other criteria. For example, another constant may be used, and it is also conceivable to determine THRESHOLD by the average of SCORE at the number of times of input.
[0108]
The presenting unit 255 presents the information detected by the detecting unit 254 to the person in charge of the customer consultation counter together with the validity calculated by the validity calculating unit 253. FIG. 32 shows an example of presentation by the presentation unit 255.
[0109]
Thereby, the person in charge of the customer consultation counter can use the contents presented by the presentation unit 255 as a clue when transferring information in the non-public database 252 to the public database 251.
[0110]
In this embodiment, the public database 251 and the private database 252 may be physically the same database. The public database 251 and the private database 252 can be logically distinguished by holding a flag indicating whether or not each data is disclosed.
[0111]
In such a configuration, the search for the public database 251 and the search performed by the validity calculation unit 253 for the non-public database 252 are assumed to be the same, and whether to present to the user by a flag as to whether to disclose or not is calculated. What is necessary is just to distinguish whether the part 253 uses. By reducing the number of search processes, the burden on the system is reduced and the processing speed is improved, so that maintenance and management can be performed in real time. At this time, RANK when obtaining the above SCORE may be the order of the information of the private database in the information of both the public database and the private database.
[0112]
Further, when the public database 251 and the private database 252 are physically the same database, when the administrator moves the information of the private database 252 to the public database 251 in accordance with the presentation contents of the presentation unit 255. As a process, it is only necessary to change the flag of whether to disclose or not, so the load on the system is also reduced.
[0113]
Alternatively, inquiries from users and information that has been viewed, which are inputs to the effectiveness calculation unit 253, can be stored as a log, and maintenance and management can be performed in batches using this information. By doing so, for example, processing can be performed collectively at night when there are few inquiries from the user, so that the load on the system related to maintenance and management is reduced when there are many inquiries from the user.
[0114]
Further, the processing in the embodiment of the present invention can be realized by a computer-executable program, and this program can be realized as a computer-readable storage medium.
[0115]
The storage medium in the present invention can store programs such as a magnetic disk, floppy disk, hard disk, optical disk (CD-ROM, CD-R, DVD, etc.), magneto-optical disk (MO, etc.), semiconductor memory, etc. As long as it is a computer-readable storage medium, the storage format may be any form.
[0116]
Further, an OS (operation system) operating on the computer based on an instruction of a program installed in the computer from the storage medium, database management software, MW (middleware) such as a network, and the like for realizing the present embodiment A part of each process may be executed.
[0117]
Furthermore, the storage medium in the present invention is not limited to a medium independent of a computer, but also includes a storage medium in which a program transmitted via a LAN or the Internet is downloaded and stored or temporarily stored.
[0118]
Further, the number of storage media is not limited to one, and the processing in the present embodiment is executed from a plurality of media, and the configuration of the media may be any configuration included in the storage media in the present invention.
[0119]
The computer according to the present invention executes each process according to the present embodiment based on a program stored in a storage medium. The computer includes a single device such as a personal computer, and a system in which a plurality of devices are connected to a network. Any configuration may be used.
[0120]
The computer in the present invention is not limited to a personal computer, but includes a processing unit, a microcomputer, and the like included in an information processing device, and is a generic term for devices and devices capable of realizing the functions of the present invention by a program. .
[0121]
【The invention's effect】
As described above, according to the information sharing system according to the present invention, the stored information is presented with priority given to the information that needs to be reviewed, so that the review for maintaining the quality of the information is performed. Work can be performed efficiently. This makes it possible to share a large amount of information while maintaining its quality.
[0122]
Furthermore, if provisional information before publication is casually registered, highly public information will be presented based on the user's operations on the published information. Transmission is promoted.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration of the present invention.
FIG. 2 shows an example of information stored in the storage unit.
FIG. 3 shows an example of a screen on which a user searches for information.
FIG. 4 shows an example of a screen on which a user searches for information.
FIG. 5 shows an example of a screen on which a user searches for information.
FIG. 6 is a screen example for a user to search for information.
FIG. 7 shows an example of a screen in which a user adds evaluation information to information.
FIG. 8 is a diagram illustrating a processing procedure of a determination unit.
FIG. 9 is a diagram used for explaining a determination method of a determination procedure;
FIG. 10 shows an example of a screen requesting the administrator to review information.
FIG. 11 shows another screen example for requesting the administrator to review the information.
FIG. 12 is a functional configuration of the second embodiment.
FIG. 13 shows an example of accumulated information.
FIG. 14 shows an example of accumulated information.
FIG. 15 shows an example of a registration interface.
FIG. 16: Example of registration operation
FIG. 17: Reference interface example
FIG. 18: Reference interface example
FIG. 19 shows an example of document analysis knowledge.
FIG. 20: Example of vocabulary knowledge
FIG. 21 shows a flow of processing of a reliability judgment unit.
FIG. 22 shows an example of a detection information display screen.
FIG. 23: Administrator interface example
FIG. 24: Administrator interface example
FIG. 25 is a functional configuration of the third embodiment.
FIG. 26: Example of information in a public database
FIG. 27: Example of information in a private database
FIG. 28 shows an example of input to an effectiveness calculation unit.
FIG. 29 shows an example of the processing flow of the effectiveness calculation unit.
FIG. 30 is an example of information whose validity is corrected.
FIG. 31 is an example of the processing flow of the detection unit;
FIG. 32 shows an example of content presented by the presentation unit.
[Explanation of symbols]
1 ... Reliability prediction unit
2 ... Effectiveness calculation unit
3 ... Presentation section
4. Detection unit
8 ... Accumulator
9 ... Input / output section
10. Information sharing system

Claims (5)

Information storage means for storing a plurality of information together with an update history and usage evaluation record;
Means for predicting the reliability of each of the plurality of information according to the number of updates of the update history and its time interval;
Means for calculating the validity of each of the plurality of pieces of information based on the number of use references of the use evaluation record and an evaluation value for the information in the reference;
Means for detecting information to be updated based on the reliability and validity of each of the plurality of pieces of information;
The information detected by this detection means is classified and determined for a predetermined update reason based on the number of times of updating the information, the time interval, the number of times of reference, and the evaluation value in the reference, and the determination is made together with the identification of the information. A means of presenting the reason for renewal;
An information sharing system characterized by comprising: Information storage means for storing a plurality of information;
Knowledge data means for storing document analysis knowledge data necessary for document analysis including syntactic analysis knowledge and vocabulary knowledge data describing relations between vocabularies related to expressions of natural language sentences and things and other vocabularies with related or restricted vocabulary When,
Determination means for performing morphological analysis on the contents of each of the stored information and determining the reliability of each of the stored information by referring to the vocabulary knowledge data for the result of document analysis by referring to the document analysis knowledge data When,
Detection that detects information that needs to be updated based on the reliability determined by the determination means with reference to vocabulary knowledge that describes the relationship between terms related to the contents of the plurality of information and terms related to the use of the information Means,
Presenting means for presenting the detected information requiring update together with the referenced vocabulary knowledge;
An information sharing system characterized by comprising: 3. The information sharing system according to claim 1, wherein information detected by the detection unit from the plurality of information is deleted from the information storage unit. Storing a plurality of information together with an update history and a usage evaluation record;
Predicting the reliability of each of the plurality of information according to the number of updates of the update history and its time interval;
Calculating the effectiveness of each of the plurality of pieces of information based on the user reference count of the use evaluation record and the evaluation value for the information in the reference;
Detecting information to be updated based on the reliability and validity of each of the plurality of pieces of information;
A step of classifying the information detected by the detection step based on the number of times of updating the information, the time interval, the number of times of reference, and the evaluation value in the reference, for a preset update reason;
Presenting the determined reason for the update together with the identification of the information;
A method for information maintenance management of an information sharing system, comprising: Storing a plurality of pieces of information;
Storing document analysis knowledge data necessary for document analysis including syntax analysis knowledge, and vocabulary knowledge data describing relations between expressions of natural language sentences and vocabularies related to things, and other vocabularies related to or restricted thereto,
Morphological analysis of the contents of each of the accumulated information, referring to the vocabulary knowledge data for the result of document analysis with reference to the document analysis knowledge data, and determining the reliability of the accumulated information;
Referring to the vocabulary knowledge describing the relationship between the terms related to the contents of the plurality of information and the terms related to the use of the information, information that needs to be updated is detected based on the reliability determined by the determining step Steps,
Presenting the detected information that needs to be updated together with the referenced vocabulary knowledge;
A method for information maintenance management of an information sharing system, comprising:

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