JPH1031633A - Information processor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To exchange only those interested data that are intrinsically held by every device by showing no data at all to the device users other than the equivalent data and exchanging the data while keeping secrecy of the data which are received from the device of the opposite party side of exchange. SOLUTION: The personal data are written into a data item fractionization means 105 from a reading part 118 of its own device 101. The communication data on the opposite party device 102 are written into the means 105 from a receiving part 113 as the personal data. Then every communication data item is fractionized in the whole communication data. A data item comparison means 106 decides the coincidence or non-coincidence of those fractionized communication data items. Based on this decision result, a data validity decision means 107 decides whether or not the data are valid. If the data are not valid, no data are shown at all to the user of the device 101 and the exchange of data is carried out while the secrecy is kept for the data received from the device 102.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information processing device having a communication data exchange function.

[0002]

2. Description of the Related Art Regarding the communication data exchange between an information processing apparatus and a document processing apparatus, Japanese Patent Laid-Open Publication No. 64-32361 discloses a conventional technology in which the same data is held between the respective organizations and the data is changed by a certain device. An apparatus has been disclosed in which, when an error occurs, change data flows through a communication path and is taken in by another device to maintain data consistency between the devices.

[0003] However, since there is no means for partially confirming the data content, no technique is disclosed for holding and collecting different data for the purpose of use of each device.

In Japanese Patent Application Laid-Open No. Hei 7-182256,
An apparatus for dynamic data exchange is disclosed in which a data change on one device causes a data change on the other device over a communication path.

However, there is no disclosure of an exchange technique in which each device takes in and communicates only a necessary part of the change data of the communication destination as the change data.

[0006]

Data consistency can be maintained between different devices by communication.

However, in the data exchange between the information processing device and the document processing device, not only can each device exchange data only for the purpose of holding the same data, but also for the purpose of use of each device individually. Nor can they support data exchange to hold and collect disparate data.

For example, even when collecting personal data,
For some purposes you only need your name, gender and date of birth,
There is also a purpose that requires only the name, telephone number, and owned car number, but when exchanging data including data that is not suitable for the purpose of each device, extra capacity is required for the storage device, Alternatively, an incidental work such as deleting unnecessary data is required, which is troublesome and error-prone.

Further, if the data is valuable, the data may be unilaterally obtained from the partner device, or conversely, the data may be unilaterally supplied to the partner device, which may result in uneven data exchange. .

Further, when the known data portion and the unknown data portion exist in a spot state in the data of each device for data exchange, even if these are exchanged by batch copying from one device to another device, It is not possible to convert unknown data into known data.

[0012] It is too complicated and error is likely to occur while manually checking each subdivided data.

Further, when the value of the subdivided data among the data to be exchanged differs depending on each device for exchanging data, it is possible to improve the accuracy of the data by scrutinizing each subdivided data only by substituting either one. In addition, even though each of the subdivided data is performed while being manually checked, it is impossible to determine which subdivided data is to be adopted.

Further, if the value of each segmented data among the data to be exchanged by each device that exchanges data agrees with each other, and the likelihood (accuracy) of the segmented data is not updated, another device is used. If data is exchanged with the other device, there is a possibility that the data value may be updated to a lower probability value than the other device in the previous data exchange.

[0014] The present invention is to solve the above problems.

Furthermore, if the likelihood (accuracy) of the data to be exchanged is determined by the temporal newness (update time) of each segmented data, the data exchange by the conventional method cannot be expected to improve the accuracy of the data. Not only that, the universality cannot be maintained when the degree of certainty (accuracy) of data is replaced by a numerical value for each user of each device.

[0016]

According to a first aspect of the present invention, there is provided an information processing apparatus having a communication data exchanging function, wherein each of the information processing apparatuses has a module format completely hidden from a user of the apparatus. Data item subdividing means for subdividing items, data item comparing means for determining whether each subdivided communication data item matches each other, and determining whether the data held in the subdivided data items is valid. A data validity judging means for judging and an equivalent data exchanging means for exchanging data only for the data contents of mutually exchangeable data items. It is an information processing device that enables data exchange while maintaining confidentiality of data from the device.

The information processing apparatus according to a second aspect of the present invention is characterized in that, in place of the equivalent data exchanging means, there is provided a data mutual complementing means for exchanging data only for data contents of mutually complementary data items. An information processing apparatus according to claim 1.

The information processing apparatus according to claim 3 is the information processing apparatus according to claim 2.
In the information processing device described in [3], when there is related item data held by each other and the contents of each data do not match, the one with a higher certainty (accuracy) based on the other data's certainty (accuracy). An information processing apparatus having high-accuracy data updating means for unifying data contents.

The information processing apparatus according to claim 4 is the information processing apparatus according to claim 2.
In the information processing device described, if there is data to hold each other and the data content of each other matches,
An information processing apparatus characterized in that the information processing apparatus includes a probability updating unit that compares the likelihood (accuracy) of the data with each other and replaces the likelihood with the higher likelihood (accuracy).

An information processing apparatus according to claim 3 or 4, further comprising a latest data updating unit that sets a certainty (accuracy) of data as a data update time.

[0021]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments 1 to 4 of the present invention will be described below with reference to FIGS.

(Embodiment 1) FIG. 1 is a block diagram of the present invention.

When the devices 101 and 102 exchange data by communication, the device 101 sends the data stored in the data storage unit 104 to the device 102.
8 is written to the transmission unit 114 of the communication control unit 103 and is also written to the data item segmentation unit 105.

On the other hand, the communication data received from the device 102 is read from the receiving unit 113 via the communication control unit 103 and written in the data item subdividing means 105.

The personal data 201 of FIG. 2 is written from the reading unit 118 of the own apparatus 101 to the data item subdividing unit 105, and the communication data of the partner apparatus 102 is transmitted from the receiving unit 113 to the data item subdividing unit 105 of FIG. Data 202
Is written as.

Reference numeral 115 is a display unit for displaying the data read from the reading unit 118, and 117 is a central processing unit.

Each personal data is composed of a set of an item name, a data valid flag, and a data value. When the data valid flag is 1, the data value follows, and when the data valid flag is 0, there is no data value. To do.

Since the order of the data items depends on each device, it is not particularly determined.

At this time, the data item subdividing means 105 subdivides each of the personal data 201 and 202 into each item, and the data 301 and 30 of FIG. 3 respectively.
It is processed as shown in FIG.

FIG. 12 is a flowchart showing the flow of the data item subdividing means.

The extraction position is set at the head of the data 201, and the processing of the flowchart of FIG. 12 is started.

In step S1201, it is checked whether or not there is data at the extraction position. If there is no more data, the process ends. If there is data, the item name is extracted in step S1202.

Further, the extraction position of the data 201 is advanced, and a valid flag is extracted in S1203, and it is checked in S1204 whether the flag is valid (value is 1) or not (value is 0).

If it is valid, the item value exists. Therefore, the fetching position of the data 201 is advanced and the item value is fetched in S1205. If it is not valid, the item value does not exist. Therefore, nothing is set in the item value.

In step S1206, a data item having a set of an item name, an item value, and a valid flag is set as 30-table data.
After setting in the fields indicated by 3, 304 and 305, S120
In step 7, the position for taking out the data 201 is further advanced, and the process is repeated until there is no more data.

The processing of the flowchart of FIG. 12 is similarly performed on the data 202.

Here, the item names of the subdivision items are arranged in columns 303 and 306, the data values of the subdivision items are arranged in columns 304 and 307, and whether the data value of the subdivision item is valid or not is determined. That flag is located at 305 and 308.

Further, the data item comparison means 106 of FIG. 1 compares the item names of the respective data items while matching the arrangement, and rearranges them into the formats shown in 401 and 402 of FIG.

FIG. 13 is a flowchart showing the flow of the data item comparing means.

The data comparison position is set in the first row of each of the data 301 and the data 302, and the processing of the flowchart of FIG. 13 is started.

First, in S1301, it is checked whether or not there is item data in the line indicated by the data comparison position of the data 401, and if there is data, the item name column 303 of 301 is set as the left side value to be compared in S1302.

In step S1303, the item name column 306 is compared as a right side value in order from the first row to the last row of the data 302,
If there is a matching item name in S1304, each row of the table structure data 301 and 302 is moved to the first row of the new table structure data 401 and 402 in S1305.

If the comparison position of the data 302 exceeds the last line, there is no matching item name, and the line indicated by the comparison position of the data 301 is replaced by the data 301 in the mismatch processing of S1306. Move to the last line of 401.

In S1307, the comparison position of the data 301 is advanced to the next line, and the processing from S1301 is repeated again.
When the comparison position of the data 301 exceeds the last line, the data ends, and the line remaining in the data 302 is moved to the last line of the data 402 by the disagreement process in S1308.

Here, the data item 40 in which the item names do not match
Nos. 6 and 407 are arranged rearward in distinction from the data part having the same item name.

Next, the data validity judging means 107 of FIG.
Thus, only the data items that hold valid data values in both data items are extracted and rearranged from each other from the beginning of the data.

FIG. 14 is a flow chart showing the flow of the data validity judging means.

The validity judgment position is set in the first row of each of the data 401 and the data 402, and the processing of the flowchart of FIG. 14 is started.

At S1401, data 401 and data 4
It is checked whether or not there is data in the row indicated by the validity determination position of 02, and if there is data, it is set as a determination target of the validity determination position of 401 in S1402.

Next, the validity flag of the item set in S1403 is checked, and if valid, the item at the validity judgment position of the data 402 is set in S1404.

The validity flag of the item set in S1405 is checked. If the validity flag is valid, both data match and are valid, and in S1406, the data 501 is moved to the beginning.

When it is determined that the data is not valid in any of steps S1403 and S1405, the data 401 and data 402 are held as they are as invalid data in step S1407.

In step S1408, the validity determination position of each of the data 401 and 402 is advanced to the next step, and then step S140 is performed again.
When the last line of the data is exceeded at 1, the data ends.

That is, data 401 to 403 in FIG.
410, 404, and 406 remain as they are, and the data 402 to 408, 405, 409, and 407 in FIG.

The valid data are arranged in the data order as shown in FIG.

Further, the equivalent data exchange means 108 of FIG.
Thus, the data 501 and 502 in FIG. 5, which are the front part of the data, are copied to each other.

FIG. 15 is a flowchart showing the flow of the equivalent data exchange means.

The fetch position is set in the first row of the data 501 and the flow chart of FIG. 15 is entered.

In step S1501, it is checked whether there is data in the row indicated by the extraction position. If there is data, the data is extracted in step S1502, and in step S1503, the writing unit (11
9) Write the data.

In step S1504, the extraction position is advanced by one, and when the data exceeds the last line of data in step S1501, the process ends.

The same processing using the data 501 is also executed in the communication partner device.

That is, the data 502 of FIG. 5 is loaded into the own device 101 of FIG. 1, and the data 501 of FIG. 5 is loaded into the partner device 102.

This is data that is requested by each other and can be disclosed by each other by electronic business card exchange, and enables exchange of information equal to each other.

(Embodiment 2) Reading unit 118 of own device 101
6 is written in the data item subdividing means 105 from FIG. 6, and the communication data of the partner device 102 is written in the data item subdividing means 105 from the receiving unit 113 as the customer-commodity management data 602 in FIG. And

It is assumed that each customer-product management data is configured as one set of customer name data and product name data.

The order of data items is not particularly determined because it depends on each device.

At this time, each customer-commodity management data includes data item subdividing means 105 and data item comparing means 10.
6. Through the data validity determining means 107, they are organized into 701 and 702 in FIG. 7, respectively.

That is, in the data of the own apparatus, in 701, for example, information of the customer A-commodity E has valid data as an area 707 where the row 704 and the column 703 intersect, and the data from the partner apparatus in 702, for example, the customer B-commodity The information of K has valid data as an area 708 where the row 706 and the column 705 intersect.

Here, the data mutual complement means 109 of FIG.
Thus, for example, the customer A-commodity E at 701 (the valid data portion where 703 and 704 intersect) is added to the data 702, and the customer B-commodity K at 702 (705 and 7
The effective data portion (06) which intersects) is added to the data 701.

FIG. 16 is a flowchart showing the flow of the data mutual complementing means.

FIG. 16 is a diagram showing the mutual complementation positions set at the first row and first column of the data 701 and data 702, respectively.
The process of the flowchart of FIG.

In step S1601, data 701 and data 7
It is checked whether or not the maximum column of 02 has been exceeded. If not, the valid flag in the data 701 of the own apparatus is extracted in S1602, and the effective flag in the data 702 of the other apparatus is extracted in S1603.

In step S1604, both valid flags are evaluated. If only one of the own device and the partner device is valid, the item value of the valid one in step S1605 is not valid. Copy to the item value of.

In S1606, the mutually complementary positions of the data on the self device side and the partner device side are advanced in the row direction, and when the maximum row is exceeded, the data is returned to the beginning in the row direction and at the same time the column direction is advanced to the next one. Return to.

In this way, both data become the data 801 as shown in FIG. 8, and by repeating the processing with another device, the data independently collected by each device can be enriched with each other. Becomes

(Embodiment 3) Reading section 118 of own apparatus 101
The customer-product management data 901 and 903 of FIG.
2 is transmitted from the receiving unit 113 to the data item segmentation unit 105 by the customer-product management data 902 and 9 shown in FIG.
Suppose that it is written as 04.

In FIG. 9, the data is configured as one set of a customer name, a product name, a quantity, and certainty (accuracy).

The value indicating the certainty (accuracy) is, for example, when the data is input from the input unit 116 in FIG. 1 and is simultaneously written and stored in the data storage unit 104. The larger the value, the higher the certainty (accuracy). And Regarding the method of determining the value indicating the certainty (accuracy), for example, the method of setting "1" for information by hearing, "2" for information by telephone, etc., "3" for information by face-to-face contact, and notation of item value "1" for "around 5", "2" for "about 5",
There is a method of determining from the expression of quantity information such as “3” for “5” and “4” for “5.0”.

The order of the data items is not particularly determined because it depends on each device.

At this time, the data item subdividing means 105,
After passing through the data item comparing means 106 and the data validity judging means 107, the data of the own apparatus and the data of the other apparatus are organized into 1001 and 1002 in FIG.

That is, the data of the own device is 1001 in a quantity 1 such as an intersection 1003 of the customer A and the product E.
5. Probability (accuracy) becomes 1, and data 1 of the partner device
In 002, the quantity is 20 and the likelihood (probability) is 2 as in the intersection 1005 of the customer A and the product E, for example.

As a result of comparing the quantities held by 1003 and 1005 by the high-accuracy data updating means 110 in FIG. 1, it can be seen that the two are different.

Therefore, the certainty (accuracy) of the both is further compared to determine which quantity is more likely.

As a result, the probability of 1005 (accuracy)
Is high, the quantity and certainty (accuracy) are updated as shown at 1102 in FIG.

FIG. 17 is a flow chart showing the flow of the high accuracy data exchange means.

The mutually complementary positions are set in the same row and the same column of the data 1001 and the data 1002, respectively.
The process of the flowchart of 7 starts.

In S1701, the item values of the data 1001 and the data 1002 are extracted and compared in S1702. If they are different, the certainty (accuracy) is compared in S1703.

If the likelihoods (accuracy) are different, S
In step 1704, the item value and the accuracy are copied from the higher accuracy data to the lower data.

In this way, even when the information held by both parties is different, by replacing the information based on the likelihood (accuracy), both of them become data 1101 as shown in FIG. By repeating the process with another device, the data collected by each device independently can be enhanced.

Further, the data of the own device is 1001 in the quantity 1 such as the intersection 1004 of the customer B and the product K.
0, likelihood (probability) 3, and the data of the partner device is 1002, for example, intersection 1006 of customer B-product K
Consider a case where the quantity is 10 and the certainty (accuracy) is 1 as shown in FIG.

At this time, the high accuracy data updating means 11 of FIG.
As a result of comparing the quantities held by 1004 and 1006 with 0, even if the two are the same, the likelihood (accuracy) of the two is different, so that the quantity as information is not affected.

However, for example, if data is exchanged again with the third device, the replacement when the information of the customer B-product K of the device is the quantity 5 and the certainty (accuracy) 2 is set. It needs to be prevented.

Therefore, even if the quantity is the same, the likelihood (accuracy) is determined by the accuracy updating means 111 in FIG. 1, and the accuracy is updated to a value with a higher probability (accuracy).

FIG. 18 is a flow chart showing the flow of the accuracy updating means.

The accuracy update positions are set in the same row and the same column of the data 1001 and the data 1002, respectively.
The process of the flowchart in FIG.

In S1801, the probabilities of the data 1001 and the data 1002 are extracted and compared in S1802. If they differ, the probabilities are copied from the higher-precision data to the lower data in S1803.

In this way, even if the information held by both parties is the same, by replacing the certainty (accuracy),
Both of them become the data 1101 as shown in FIG. 11, and by repeating the processing with another device, the data independently collected by each device can be enriched with each other.

(Embodiment 4) A numerical value representing the certainty (precision) of the data introduced in the method according to claim 3 and claim 4 will be described as an example of a method for setting the new value (freshness) of the data.

Regarding the data structure or the flowchart used in the third and fourth aspects, it is sufficient to re-read "reliability (precision)" as "newness (freshness)".

The reading unit 118 of the own apparatus 101 sends the customer / merchandise management data 90 shown in FIG.
1 and 903 are written, and the communication data of the partner device 102 is written from the receiving unit 113 to the data item segmentation unit 105 as the customer-product management data 901 and 904 in FIG.

In FIG. 9, the data is configured as a set of a customer name, a product name, a quantity, and freshness (freshness). The freshness (freshness) is, for example, January 1, 1990.
It is assumed that 00:00:00 on the day is “0” and incremented by 1 every one hour, and when the data is input from the input unit 116, the time information obtained from the clock unit 120 is also obtained. The data storage unit 104 is written by the writing unit 119.
It is stored in.

The order of data items is not particularly determined because it depends on each device.

At this time, the data item subdividing means 105,
After passing through the data item comparing means 106 and the data validity determining means 107, the data of the own device and the other device are sorted into 1001 and 1002 in FIG.

That is, the data of the own device is 1001 and the quantity is 1 such as the intersection 1003 of the customer A and the product E.
5, newness (freshness) is 1, and the data of the partner device is 1
In 002, the quantity becomes 20 and the freshness (freshness) becomes 2 like the intersection 1005 of the customer A and the product E, for example.

As a result of comparing the quantities held by 1003 and 1005 by the latest data updating means 112 in FIG. 1, it can be seen that they are different. Therefore, the newness (freshness) of both is further compared to determine which quantity is newer.

As a result, since the newness (freshness) of 1005 is high, the quantity and the freshness (freshness) are updated as shown at 1102 in FIG.

FIG. 17 is a flowchart showing the flow of the latest data exchange means (when item values are different).

[0108] Mutual complementing positions are set in the same row and the same column of data 1001 and data 1102, respectively, and FIG.
The process of the flowchart of 7 starts.

In S1701, the item values of the data 1001 and data 1002 are extracted and compared in S1702. If they are different, the freshness (freshness) is compared in S1703. If the newness (freshness) is different, the item value and freshness are copied from the latest data to the older data in S1704.

Thus, even when the information held by both parties is different, by replacing the information based on the freshness (freshness), both become the data 1102 as shown in FIG. By repeating the process with another device, it is possible to enhance the data collected by each device independently.

Further, the data of the own device is 1001 and the quantity is 1 such as the intersection 1004 of the customer B and the product K.
0, freshness (freshness) 3 and data of partner device 1
In 002, a case where the quantity is 10 and the freshness (freshness) is 1 like the intersection 1006 of the customer B and the product K is considered.

At this time, the latest data updating means 11 in FIG.
According to 2, the freshness (freshness) is determined even if the quantity is the same, and the value is updated to the higher value of the freshness (freshness).

FIG. 18 is also a flowchart showing the flow of the latest data updating means (when the item values are the same).

The freshness update position is set in the same row and the same column of the data 1001 and the data 1002, and the process of the flowchart of FIG. 18 is started.

In step S1801, the freshness of the data 1001 and data 1002 is extracted and compared in step S1802. If they are different, the freshness is copied from the latest data to the older data in step S1803.

In this way, by replacing the freshness (freshness) even when the information held by both parties is the same, both become data 1101 as shown in FIG. Then, by repeating the processing, it becomes possible to enrich the data independently collected by each device.

[0117]

According to the first aspect of the present invention, since the exchange data of each device is subdivided for each item and the items are matched, only the data which is uniquely held and is interested in each device is exchanged. become able to.

Further, among the subdivided data, only the data of interest is automatically selected and stored in the device, so that compared with the conventional data exchange by communication between the information processing device and the document processing device. It can be realized with less memory capacity and less operation burden.

Further, since the own device subdivided data of the same items as the subdivided data not provided by the partner device are not stored in the memory of the partner device, the user or organization owning each device can Data exchange with an equal amount of information becomes possible.

According to the second aspect of the present invention, data exchange is performed only on the data contents of data items that can be mutually complemented between devices, so that unknown data that is uniquely interested in each device can be exchanged with another device. Since only the data value received from the device to be used can be selectively obtained, data can be shared between devices and devices having different purposes.

Further, among the received data, it is possible to automatically select and fetch the data suitable for the purpose among the subdivided item data. It can be realized with less operation burden than data exchange by communication.

According to the third aspect of the present invention, when related item data held by each other exists and the data contents do not match, based on the certainty (accuracy) of the data. , By replacing the data value with a higher certainty (accuracy) with the data value that is uniquely interested in each device, it is more likely to be selected from the data received from the device to be exchanged. Since the data value can be obtained, the data accuracy in the apparatus is improved by repeating the data exchange.

Further, since data suitable for the purpose among the subdivided item data can be automatically selected from the received data and taken in, the conventional information processing apparatus and document processing apparatus can be used. It can be realized with less operation burden than data exchange by communication.

According to the invention described in claim 4, when the data held by each other exist and the data contents match each other, the higher probability of the mutual data (accuracy) is determined. By replacing it with certainty (accuracy),
Even if the data exchange is repeated, it prevents the data value that is unique to each device from being replaced with a lower certainty value in the data received from the device to be exchanged. Data accuracy in the device can be prevented from being reduced.

Further, among the subdivided item data, the data suitable for the purpose can be automatically selected and fetched from the received data, so that it is possible to transfer the data between conventional information processing devices and document processing devices. It can be realized with less operation burden than data exchange by communication.

According to the fifth aspect of the present invention, it is possible to selectively obtain the latest data value from the data received from the device to be exchanged with respect to the data value that is uniquely interested in each device. Therefore, the freshness of the data in the device can be improved by repeating the data exchange.

Further, since data suitable for the purpose among the subdivided item data can be automatically selected from the received data and taken in, the conventional information processing apparatus and document processing apparatus can be used. This can be realized with a smaller operation load than data exchange by communication.

[Brief description of the drawings]

FIG. 1 is a block diagram showing the method of the present invention.

FIG. 2 is a personal data string communicated in the present invention.

FIG. 3 shows personal data that has passed through the data item segmentation means of the present invention.

FIG. 4 shows personal data that has passed through the data item comparison means of the present invention.

FIG. 5 shows personal data that has passed through the data validity judging means of the present invention.

FIG. 6 is a customer-product management data string communicated in the present invention.

FIG. 7 is a customer-merchandise management data string that has passed through the data item segmentation means, data item comparison means, and data validity determination means of the present invention.

FIG. 8 shows a customer who has passed the data mutual complementing means of the present invention.
This is a product management data string.

FIG. 9 is a customer-product management data string communicated in the present invention.

FIG. 10 shows a customer-merchandise management data string that has passed through the data item segmentation means, data item comparison means, and data validity determination means of the present invention.

FIG. 11 shows a customer-merchandise management data string that has passed through the high-accuracy data updating means, the accuracy updating means, and the latest data updating means of the present invention.

FIG. 12 is a flowchart showing a data item subdividing unit of the present invention.

FIG. 13 is a flowchart showing a data item comparing means of the present invention.

FIG. 14 is a flowchart illustrating a data validity determination unit according to the present invention.

FIG. 15 is a flowchart showing an equivalent data exchange unit of the present invention.

FIG. 16 is a flowchart showing a data mutual complementing means of the present invention.

FIG. 17 is a flowchart showing the high-accuracy data updating means or the latest data updating means (when the item values are different) of the present invention.

FIG. 18 is a flowchart showing the accuracy updating means or the latest data updating means (when the item values are equal) of the present invention.

[Explanation of symbols]

 101 own device 102 partner device 103 communication control unit 104 data storage unit 105 data item segmentation unit 106 data item comparison unit 107 data validity determination unit 108 equivalent data exchange unit 109 data mutual complement unit 110 high accuracy data update unit 111 accuracy update Means 112 Latest data updating means 113 Receiving unit 114 Transmitting unit 115 Display unit 116 Input unit 117 Central processing unit 118 Reading unit 119 Writing unit 120 Clock unit

Claims (5)

[Claims] 1. An information processing apparatus having a communication data exchange function, comprising: a data item subdividing means for subdividing each item from the entire communication data in a module format completely hidden from a user of the information processing apparatus; A data item comparing means for determining whether or not each of the communication data items has become identical to each other; a data validity determining means for determining whether the data held in the subdivided data items are valid; Equivalent data exchange means for exchanging data only for the data content of the data item is provided to the device user except for the equivalent data at all, and data exchange from the data exchange partner device is kept confidential. Information processing device that enables it. 2. An information processing apparatus according to claim 1, further comprising a data mutual complementing means for exchanging data only for data contents of mutually complementary data items in place of said equivalent data exchange means. 3. The information processing apparatus according to claim 2, wherein when related item data held by each other exists and each data content does not match, the certainty is determined based on the certainty (accuracy) of each other's data. An information processing apparatus, comprising: a high-accuracy data updating unit that unifies data contents with higher likelihood (accuracy). 4. The information processing apparatus according to claim 2,
In the case where data held by each other exists and their data contents match each other, a certainty updating means is provided for comparing the certainty (accuracy) of each other's data and replacing it with a higher certainty (accuracy). An information processing apparatus characterized by the above-mentioned. 5. The information processing apparatus according to claim 3, further comprising: a latest data updating unit that uses data likelihood (probability) as a data update time.