JP3424472B2 - Data processing system - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a data processing system which can be used to read object data such as character data, graphic data and image data from a database when a printing original plate such as an article catalog is produced.

[0002]

2. Description of the Related Art For example, when an original printing plate for an article catalog is created, object data for displaying article information is read from a database stored in a storage device of a computer system and used to create a block copy. There is. As the object data, image data for displaying the appearance of the article, graphic data for displaying the dimension drawing of the article, character data for displaying the article number, price, etc. of the article are read out, Processing such as layout is performed on the screen of the display device.

Conventionally, in order to efficiently read the object data, each object data is stored in association with the item identification data such as a product number, and the price, color, etc. of each item is used as search data in the item identification data. Corresponding object data are searched for and output by storing them in association with each other and inputting the search data.

[0004]

However, in the conventional configuration, since the price, color, etc. of the article are used as the search data, it is impossible to perform the search according to the attribute of the object data. For example, it was not possible to perform a search such as reading out image data of a specific format and object data of an article related to the image data.
Therefore, it was not possible to efficiently read the object data.

Further, in the case where a large number of image data are associated with a single article, if object data is searched and read based on the attribute of the article, even unnecessary image data is unnecessarily read. It may be disturbed by the work.

An object of the present invention is to provide a data processing system which can solve the above problems.

[0007]

A data processing system according to the present invention is a means for grouping a plurality of object data based on grouping information data of each object data and a predetermined grouping rule, and a group thereof. A means for storing the divided object data in association with the identification data of the group, a means for storing search data consisting of attributes of each object data in association with the group identification data, and inputting the search data Means for reading the group identification data corresponding to the input search data,
And a means for outputting the object data corresponding to the group identification data, and a means for outputting the searched object data. The grouping rule is selectable from a plurality of rules. It is characterized by being

According to the configuration of the present invention, the object data belonging to the group corresponding to the input search data can be output. The search data corresponds to the attribute of the object data, and the grouping rule of the object data can be set arbitrarily. Therefore, it is possible to read out the object data that corresponds to the target attribute of the object data and that complies with an arbitrarily determined rule. That is, the object data can be searched according to the attribute, and the change of the search rule can be flexibly dealt with. Further, the grouping rule can be selectively selected from a plurality of rules, so that it is possible to output object data that better matches the search purpose.

In the data processing system of the present invention, the relationship between the object data grouped under another rule and the group based on the change of the relationship between the object data grouped under one rule and the group. Is preferably provided . As a result, work efficiency can be improved when processing such as addition or deletion of object data is performed.

It should be noted that the search data and the group identification data are associated with each other for each grouping rule, the corresponding relationship is associated with the grouping rule and stored individually, and the object data and the group identification are stored for each grouping rule. Correspondence between the search data and the group identification data based on the grouping rule selected prior to searching the object data Any one of the relationships and any one of the corresponding relationships between the object data and the group identification data may be selected for searching the object data. Alternatively, the group identification data is made identifiable for each grouping rule, and the correspondence between the search data and the group identification data and the correspondence between the object data and the group identification data are collectively stored and the search is performed. From the group identification data searched corresponding to the search data based on the correspondence between the data and the group identification data, the one corresponding to the selected grouping rule is selected and corresponds to the selected group identification data. The object data to be searched may be searched based on the correspondence between the object data and the group identification data.

[0011]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 shows a printing data processing system used for creating an original printing plate for an article catalog, which includes an arithmetic processing unit 1 constituted by a computer,
An input device 2 such as a keyboard, an output device 3 such as a printer, an external storage device 4 such as a hard disk device, and a display device 5 connected to the arithmetic processing device 1 are provided.

In the external storage device 4, a plurality of object data, which are grouped based on grouping information data attached to each object data and a predetermined grouping rule, are identified. It is stored in association with the data.

In this embodiment, the object data includes image data for displaying the appearance of the article, graphic data for displaying the dimension drawing of the article, article number, price, color, and size of the article. It is composed of character data for. The image data, graphic data, and character data have different formats, and further include image data having different formats and graphic data having different formats.

In this embodiment, the grouping of the object data can be selectively selected from the three grouping rules. The first grouping rule is that object data related to articles having the same product number belong to the same group. The second grouping rule is that one image data belongs to one group, and object data related to articles of the same product number belong to the same group except for the image data. The third grouping rule is that one piece of graphic data belongs to one group, and object data related to articles of the same product number belong to the same group except for the graphic data. In addition, the grouping rule of the object data is not limited to the above,
It can be set arbitrarily. For example, the object data regarding articles published in the same type of catalog belong to the same group, or the external storage device 4 stores the same date.
It is possible to make a rule that the object data stored in 1) belong to the same group.

In this embodiment, the correspondence between the object data and the group identification data is made through the file name of the object data, the ID of the object data, and the type of the object data. That is, as shown in (1) of FIG. 2, the correspondence relationship between the image file name 11 and the image ID 12 peculiar to the image data is stored as data in a table format.
The file name of u1 is associated with the image ID 1, and gaz
The file name of ou2 is associated with the image ID 2, and ga
The file name of zou3 is associated with the image ID3.
Further, as shown in (2) of FIG. 2, the correspondence relationship between the graphic file name 13 and the graphic ID 14 unique to the graphic data is stored as table format data.
The file name of ei1 is associated with the figure ID1, and zu
The file name of kei2 is associated with the figure ID2, and z
The file name of ukei2 is associated with the figure ID3. As shown in (3) of FIG. 2, the correspondence between the character data 15 itself and the character ID 16 is stored as table format data. In the illustrated example, the product number A0001 and the price 2 are stored.
8000 yen, fair white, size M is associated with the character ID 1, and product number B0001, price 12,000 yen, color red, size free is associated with the character ID 2.

As shown in FIGS. 3 to 5, each image ID 12, figure ID 14, and character I is based on each grouping rule.
D16 is a type 17 of the corresponding object data and a group ID 18 which is group identification data.
And is stored as table format data. That is, as shown in FIG. 3, based on the first grouping rule, the image ID1 is added to the ID1 of the article group,
The image ID2, the image ID3, the graphic ID2, and the character ID1 are associated with each other, and the image group ID2 is stored with the image ID3, the graphic ID1, the graphic ID3, and the character ID2 associated with each other. Further, as shown in FIG. 4, based on the second grouping rule, the image group ID1 is associated with the image ID1, the graphic ID2, and the character ID1, and the image group ID2 is associated with the image ID2, the graphic ID2, and the character ID1. The image ID 3 and the figure ID are associated with each other, and are associated with the image group ID 3.
2, character ID1, figure ID1, figure ID3, character ID2
Are stored in association with each other. Further, as shown in FIG. 5, based on the third grouping rule, the figure group ID1 is associated with the figure ID1, the image ID3, and the character ID2, and the figure group ID2 is associated with the figure ID2 and the image ID.
1, the image ID2, the image ID3, and the character ID1 are associated with each other, and the figure group ID3 is associated with the figure ID3, the image ID3,
The character ID 2 is associated and stored.

Further, search data corresponding to the attribute of each object data is stored in the external storage device 4 in association with the group identification data.

In the present embodiment, the search data is composed of the image content and the format type for the image data, the data type and the format type for the graphic data, and the data itself for the character data. Composed. That is, as shown in FIG. 6, for image data, an image title 21 and a format type 22 that briefly represent the contents of an image, for graphic data, an object type 23 and a format type 24, and for character data,
The item number 25, the item price 26, the item color 27, and the item size 28 indicating the object data themselves are respectively associated with the search ID 30 as search data and stored as table format data. In the illustrated example, the image titles are the main image and the attached image, and the image format types are Handshake, eps, and J.
PG and its graphic format type is DXF and T
IF and CDR. The search ID of the object data having the image ID 1 is 1, the search ID of the object data having the image ID 2 is 2, the search ID of the object data having the image ID 3 is 3, and the figure ID is 1. Object data search ID is 4 and figure ID is 2
The search ID of the object data is 5 and the figure ID is
Is 3, the search ID of the object data of 3 is 6, the search ID of the object data of 1 is 1
The search ID of the object data having the character ID 2 is 8.

As shown in (1) to (3) of FIG. 7, the search data and the group identification data are associated with each other through the search ID for each grouping rule.
30 is associated with the corresponding group ID 18 based on each grouping rule and stored as table format data. That is, as shown in (1) of FIG. 7, the ID 1 of the article group is determined based on the first grouping rule.
Are associated with search IDs 1, 2, 3, 5, and 7, and search IDs 3, 4, 6, and 8 are associated with ID2 of the article group. Further, as shown in (2) of FIG. 7, the search ID is added to the ID 1 of the image group based on the second grouping rule.
1, 4, 5, and 7 are associated with each other, and the image group ID 2
Are associated with search IDs 2, 5, and 7, and search IDs 3, 5, 6, 7, and 8 are associated with image group ID3. Further, as shown in (3) of FIG. 7, the search ID is added to the ID 1 of the graphic group based on the third grouping rule.
3, 4, and 8 are associated with each other, search IDs 1, 2, 3, 5, and 7 are associated with the graphic group ID 2, and search IDs 3, 6, and 8 are associated with the graphic group ID 3.

The search data 21, 22, 23, 24,
25, 26, 27 and 28 are input to the processing device 1 from the input device 2. The processing device 1 searches for object data belonging to a group corresponding to the input search data. Prior to this search, any one of the first to third grouping rules is selected by the input device 2. The retrieved object data is
It is output from the output device 3 and displayed on the display device 5.

A procedure for storing data by the above data processing system will be described with reference to the flow charts of FIGS. First, the initial values K, Ga, and G of the search ID, article group ID, image group ID, and graphic group ID
b and Gc are set to zero (step 1). Next, the storage device 4
Then, each object data is stored, and at this time, it is stored in association with the supplementary information (step 2). The object data and the incidental information may be input to the system from the input device 2 and stored in the storage device 4 by the processing device 1.
A separately created item may be directly read into the storage device 4. As shown in FIG. 11, the supplementary information includes file names, object data IDs, and
Object data type, related part number, image title, format type, figure data as file name, object data ID, object data type, related part number, format type, and character data as object data ID
And the type of object data. This allows
If the type of the object data is an image, the correspondence between the image file name and the image ID, if it is a graphic, the correspondence between the graphic file name and the graphic ID, and if it is a character, the correspondence between the character data itself and the character ID. The relationship is stored as table format data as shown in (1) to (3) of FIG. In the first grouping rule, since object data related to articles of the same part number belong to the same group, the related part number which is the incidental information and the part number of character data correspond to the grouping rule of object data. It becomes division information data. In the present embodiment, one piece of image data is associated with a plurality of product numbers, so that the image data belongs to a plurality of groups. This is because a plurality of articles may be displayed by one image in the article catalog or the like. In the second grouping rule, one image data belongs to one group, and the object data related to the article of the same product number belongs to the same group except the image data. The ID, the type of object data, the related item number, and the item number of the character data are grouping information data corresponding to the object data grouping rule. According to the third grouping rule, one piece of graphic data belongs to one group, and object data related to articles of the same part number belong to the same group except graphic data. The ID, the type of object data, the related item number, and the item number of the character data are grouping information data corresponding to the object data grouping rule. Next, the processing device 1
One piece of supplementary information of the stored object data is read (step 3). Next, 1 is added to the value of the search ID (step 4). Next, if the read supplementary information is for image data, the image title and format type is for graphic data, the object data type and format type is for character data, The product number, price, color, and size, which are the data itself, are associated with the search ID as search data and stored as table format data as shown in FIG. 6 (step 5). Next, with respect to another object data whose additional information is the same product number as the related product number of the additional information read in step 3, it is determined in step 5 whether the search data is stored in association with the search ID ( Step 6). Next, if the search data of another object data related to the article of the same article number is not stored, 1 is added to the value of the article group ID (step 7). Next, the search ID associated with the search data in step 5 is associated with the article group ID and stored as table format data as shown in (1) of FIG. 7 (step 8). If the search data of another object data related to the article of the same product number is stored in step 6, the search is performed in step 5 to the article group ID associated with the search ID of the search data of the other object data. The search ID associated with the data is associated and stored (step 9). Next, the article group ID associated with the search ID in step 8 or step 9 is associated with the object ID of the object data having the search data associated with the search ID as incidental information, and the above-described FIG.
The data is stored as tabular data as shown in (step 10). This makes the object data the first
They will be grouped according to the grouping rules of. FIG. 12 shows a conceptual diagram of grouping the object data. Next, it is determined whether or not the object type of the incidental information read in step 3 is an image (step 11). Next, if the object type is an image, it is determined whether or not the search data is stored in step 5 in association with the search ID for another image data (step 12). Next, if the search data is stored in association with the search ID in step 5 for another image data, 1 is added to the value of the image group ID (step 13), and the search data is associated with the search data in step 5. Search IDs for image group I
The data is associated with D and stored as table format data as shown in (2) of FIG. 7 (step 14). In step 12, step 5 for other image data
If the search data is not stored in association with the search ID in step 3, the search data is searched in step 5 for object data other than image data having the same part number as the related part number of the additional information read in step 3 as the additional information. It is determined whether or not the image data is stored in association with the ID (step 15), and if the search data is not stored, 1 is added to the value of the image group ID (step 1).
6), in step 14, the search ID is the image group I
Corresponds to D. If the search data of another object data related to the article of the same product number is stored in step 15, the search ID is associated with the current image group ID in step 14. Next, step 1
If the object type of the incidental information read out in step 3 is not an image in step 1, the search data becomes the search ID in step 5 regarding the object data whose incidental information is the same as the related product number of the incidental information read out in step 3. It is determined whether or not they are stored in association with each other (step 17), and if the search data is not stored, 1 is added to the value of the image group ID (step 1).
8), in step 14, the search ID is the image group I
Corresponds to D. If the search data of the object data related to the article of the same product number is stored in step 17, the search ID is associated with the current image group ID in step 14. Next, the image group ID associated with the search ID is associated with the object ID of the object data having the search data associated with the search ID as the incidental information, and as shown in FIG. (Step 19). As a result, the object data is grouped according to the second grouping rule. FIG. 13 shows a conceptual diagram of grouping the object data. Next, it is determined whether or not the object type of the incidental information read in step 3 is a figure (step 20). Next, if the object type is a graphic, it is determined whether or not the search data is stored in step 5 in association with the search ID for another graphic data (step 21). Next, if the search data is stored in step 5 in association with the search ID for another graphic data, 1 is added to the value of the graphic group ID (step 22), and the graphic data is associated with the search data in step 5. Search ID is the figure group ID
And is stored as data in a table format as shown in (3) of FIG. 7 (step 23). At step 21, if the search data is not stored in association with the search ID at step 5 with respect to another graphic data, other than graphic data having the same part number as the related part number of the additional information read at step 3 as the additional information. Regarding the object data, in step 5, it is determined whether or not the search data is stored in association with the search ID (step 24), and if the search data is not stored, 1 is added to the value of the graphic group ID (step Two
5) In step 23, the search ID is assigned to the graphic group I.
Corresponds to D. If the search data of another object data related to the article of the same product number is stored in step 24, the search ID is associated with the current figure group ID in step 23. Next, step 2
In 0, if the object type of the incidental information read in step 3 is not a figure, regarding the object data having the same item number as the related item number of the incidental information read in step 3, the search data becomes the search ID in step 5. It is determined whether or not they are stored in association with each other (step 26), and if the search data is not stored, 1 is added to the value of the graphic group ID (step 2).
7), in step 23, the search ID is the graphic group I
Corresponds to D. If the search data of the object data related to the article of the same product number is stored in step 26, the search ID is associated with the current figure group ID in step 23. Next, the graphic group ID associated with the search ID is associated with the object ID of the object data having the search data associated with the search ID as additional information, and as shown in FIG. (Step 28). As a result, the object data is grouped according to the third grouping rule. FIG. 14 shows a conceptual diagram of grouping the object data. Next, it is determined whether the incidental information of all the stored object data has been read (step 29). If all the incidental information has not been read, the process returns to step 3, and if it has been read, the process ends.

A procedure for outputting data by the above data processing system will be described with reference to the flowchart of FIG. First, a grouping rule is selected by input from the input device 2 (step 1). Next, search data is input from the input device 2 (step 2). As a result, the processing device 1 reads the search ID corresponding to the search data from the storage device 4 (step 3), and reads all the IDs of the selected group corresponding to the search ID (step 4). Next, the object types and object IDs corresponding to all the read group IDs are read (step 5). It is determined whether or not the read object type is a character (step 6). If the read object type is a character, the character data corresponding to the object ID is output to the output device 4. (Step 7) If the object type is graphic or image, the file name of the object ID is read (Step 8), and the object data of the file name is output to the output device 4 (Step 9). Next, the group I read in step 4
It is determined whether or not all the object data corresponding to the object IDs corresponding to all of D have been output (step 10). If not output, the process returns to step 5, and if all are output, the process ends.

According to the above configuration, the object data belonging to the group corresponding to the input search data can be output. The search data corresponds to the attribute of the object data, and the grouping rule of the object data can be set arbitrarily. Therefore, it is possible to read out the object data corresponding to the target attribute and complying with the rule set arbitrarily. That is, the object data can be searched according to the attribute, and the change of the search rule can be flexibly dealt with. Further, the grouping rule can be selectively selected from a plurality of rules, so that it is possible to output object data that better matches the search purpose. That is, by selecting the first grouping rule, it is possible to output object data without duplication of product numbers, and by selecting the second grouping rule, output object data without duplication of image data. By selecting the third grouping rule, the object data can be output without duplication of the graphic data, and the work efficiency can be improved.

Further, in the above configuration, based on the change in the relationship between the object data grouped under one rule and the group, the relationship between the object data grouped under another rule and the group is changed. It can be changed. For example, in the above embodiment, if the image data having the image ID 2 is deleted from the group of the article group ID1 under the first grouping rule, all the image data belonging to only the image group ID2 under the second grouping rule are deleted. Data deleted, graphic group ID 2 under the third grouping rule
Is deleted. This deletion of object data is shown in Fig. 3.
If the correspondence relationship between the object data type and the ID related to the image ID2 is deleted in step S1, the correspondence relationship between all the object data types and IDs in the group ID2 is determined from the correspondence relationship between the object data type and the ID in FIG. From the relationship between the object data type and the ID in FIG.
This can be done by deleting the correspondence between the type of object data and the ID related to 2. Further, in the above-mentioned embodiment, if it is assumed that the figure data of the figure ID 3 in the group of the article group ID 2 under the first grouping rule is newly added, under the second grouping rule. The graphic data having the graphic ID of 3 is newly added to the image group ID3 in 3), and the object data belonging only to the graphic group ID3 under the third grouping rule is newly added. The addition of this new object data can be performed by the procedure from step 2 in the flowcharts of FIGS. That is, if the relationship between the object data grouped under one rule and the group is changed, the relationship between the object data grouped under another rule and the group is changed. When processing such as adding or deleting
Work efficiency can be improved.

Further, in the above embodiment, as shown in (1), (2), and (3) of FIG. 7, the search ID and the group ID are associated with each other according to the grouping rule, and the corresponding relationship is grouped. It is stored individually in association with the division rule. In addition, as shown in FIGS. 3 to 5, the object ID and the group ID are associated with each other for each grouping rule, and the corresponding relationship is associated with the grouping rule and individually stored. Then, based on the grouping rule selected prior to the search of the object data, any one of the correspondence relationships shown in (1), (2), and (3) of FIG. 7 and the correspondence shown in FIGS. Any one of the relationships is selected for searching the object data. On the other hand, by making the group ID identifiable for each grouping rule, for example, the group ID is configured by combining not only numbers but also different alphabets for each grouping rule. ), (2), and (3) are associated with the search ID and are associated with the object ID as illustrated in FIGS. 17 to 19, so that the correspondence relationship between the search ID and the group ID and the object ID and the group ID are associated with each other. The correspondence relationship with may not be stored individually for each grouping rule, but may be stored collectively. In this case, among the group IDs searched corresponding to the search ID based on the correspondence relationships shown in (1), (2), and (3) of FIG. 16, the one corresponding to the selected grouping rule is The selected object ID corresponding to the selected group ID is searched based on the correspondence shown in FIGS. 17 to 19.

The present invention is not limited to the above embodiment. For example, the number of object data and the rules for grouping object data are not particularly limited.

[0028]

According to the present invention, it is possible to provide a data processing system capable of efficiently reading object data.

[Brief description of drawings]

FIG. 1 is a block diagram for explaining the configuration of a data processing system according to an embodiment of the present invention.

FIG. 2 is a diagram showing a relationship between an image ID and an image file name, (2) is a diagram showing a relationship between a graphic ID and a graphic file name, and (3) is a character ID in the embodiment of the present invention. Showing the relationship between text and character data

FIG. 3 is a diagram showing a relationship among an article group ID, an object type, and an object ID according to the embodiment of the present invention.

FIG. 4 is a diagram showing a relationship among an image group ID, an object type, and an object ID according to the embodiment of the present invention.

FIG. 5 is a diagram showing a relationship among a graphic group ID, an object type, and an object ID according to the embodiment of the present invention.

FIG. 6 is a diagram showing a relationship between a search ID and search data according to the embodiment of the present invention.

FIG. 7 is a diagram showing a relationship between a search ID and (1) an article group ID according to the embodiment of the present invention, and (2) an image group I.
The figure which shows the relationship with D, (3) the figure which shows the relationship with figure group ID

FIG. 8 is a flowchart showing a processing procedure when data is stored by the data processing system according to the embodiment of the present invention.

FIG. 9 is a flowchart showing a processing procedure when data is stored by the data processing system according to the embodiment of the present invention.

FIG. 10 is a flowchart showing a processing procedure when data is stored by the data processing system according to the embodiment of the present invention.

FIG. 11 is an explanatory diagram of incidental information of object data according to the embodiment of this invention.

FIG. 12 is a conceptual diagram of grouping according to the first grouping rule of object data according to the embodiment of the present invention.

FIG. 13 is a conceptual diagram of grouping according to a second grouping rule of object data according to the embodiment of the present invention.

FIG. 14 is a conceptual diagram of grouping of object data according to a third grouping rule of the embodiment of the present invention.

FIG. 15 is a flowchart showing a processing procedure at the time of search by the data processing system according to the embodiment of the present invention.

16 is a diagram showing a relationship between a search ID and a product group ID in a modified example of the invention, and (2) is an image group I. FIG.
The figure which shows the relationship with D, (3) the figure which shows the relationship with figure group ID

FIG. 17 is a diagram showing a relationship among an article group ID, an object type, and an object ID according to a modified example of the present invention.

FIG. 18 is a diagram showing a relationship among an image group ID, an object type, and an object ID according to a modified example of the present invention.

FIG. 19 is a diagram showing a relationship among a graphic group ID, an object type, and an object ID according to a modified example of the present invention.

[Explanation of symbols]

1 Processor 2 input devices 3 output devices 4 External storage device

─────────────────────────────────────────────────── ─── Continuation of front page (72) Kouji Watanabe 1-5-1 Taito, Taito-ku, Tokyo Within Toppan Printing Co., Ltd. (72) Takao Iwata 1-1-5 Taito, Taito-ku, Tokyo Toppan Printing Co., Ltd. (56) Reference JP 8-235220 (JP, A) JP 8-185413 (JP, A) JP 8-185514 (JP, A) JP 8-185511 (JP, A) (58) Fields surveyed (Int.Cl. ⁷ , DB name) G06F 17/30 JISST file (JOIS)

Claims (2)

(57) [Claims] 1. A means for grouping a plurality of object data based on grouping information data of each object data and a predetermined grouping rule, and the grouped object data, identification data of the group. To store the search data composed of the attributes of each object data in association with the group identification data, to input the search data, and to correspond to the input search data. Group identification day
The group identification data that was read out.
A data processing system comprising a means for searching corresponding object data and a means for outputting the searched object data, and the grouping rule can be selectively selected from a plurality of rules. 2. A means for changing the relationship between the object data grouped under one rule and the group based on the change of the relationship between the object data grouped under one rule and the group. Equipment
Data processing system according to claim 1 was e.