CN102591882A - Knowledge classification system - Google Patents
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- CN102591882A CN102591882A CN201110008951XA CN201110008951A CN102591882A CN 102591882 A CN102591882 A CN 102591882A CN 201110008951X A CN201110008951X A CN 201110008951XA CN 201110008951 A CN201110008951 A CN 201110008951A CN 102591882 A CN102591882 A CN 102591882A
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Abstract
The invention discloses a knowledge classification system, wherein a transmitting unit of a template module is used for transmitting a knowledge file; a selecting module is used for receiving a selecting signal to select one classification item and a corresponding code thereof from the classification contents in the template module; a generating module is used for generating a classification reference interface corresponding to the knowledge file according to the correspondingly selected classification items and codes thereof, and the classification contents of the classification reference interface are respectively corresponding to the selected classification items, the codes thereof and a code cluster formed by the selected codes. The knowledge classification system has the advantages of enabling a file reader to clearly master the knowledge field of the archive file, and know the source of an archive file and the department of the personnel uploading the archive file beside enabling the file reader to clearly master the knowledge field of the archive file, and enabling the file reader to quickly find the necessary archive file according to other set classification items of the file even if the knowledge field of the archive file is unknown.
Description
Technical field
The invention relates to a kind of knowledge classification system, but particularly relevant for a kind of knowledge classification system of the enactment document classification of documents.
Background technology
At present, most company all can utilize a kind of network to store hard disk, stores the archive files of each employee's made of intra-company; But unified management archive files like this; And form in-company Knowledge Management System, and not only can information be done complete collection, classification and arrangement, effectively utilize in order to the employee; Also can effectively preserve the important archive files of company, when preventing labor turnover and cause the loss of archive files.
And if real these archive files of effectively management are very important with these archive files setting classification.Behind document classification, not only make things convenient for administrator administers, also can let the user why can clearly learn the affiliated ken of archive files, more can let the user search them fast and inquire for target-seeking archive files.But sorting technique in the past; The areas of expertise of directly being correlated with according to archive files is mostly set, for the user of non-this areas of expertise, when wanting to inquire about the information of being correlated with in this field; Owing to be unfamiliar with this field, therefore may do not know the situation what this look for from.
Therefore, because how the problems referred to above do classification further with a archive files, making the user to go obtaining them easily by more how different modes and inquire for target-seeking file, is the problem that needs research and inquirement.
Summary of the invention
Because the problems referred to above that prior art exists, the object of the invention are exactly a kind of knowledge classification system to be provided, only to set the problem of its classification according to areas of expertise to solve archive files.
According to the object of the invention, a kind of knowledge classification system is proposed, it comprises a sort module, an example edition module, is chosen a module and a generation module.Sort module comprises a plurality of classification layers, and each classification layer comprises at least one classification rank, and each rank of classifying comprises at least one classification item, the corresponding respectively coding of each classification item.The example edition module comprises a plurality of distribution captions and a plurality of categorised content; Each distribution caption is the correspondence rank of respectively classifying respectively; Each categorised content links at least one classification item and the pairing coding of each classification item on the rank of respectively classifying, and the example edition module also comprises a delivery unit and transmits at least one knowledge file to provide.Choose module reception one and choose signal, to choose a wherein classification item and the pairing coding thereof of each categorised content.Generation module is with reference to the example edition module and according to choosing each selected classification item of module and each coding, to produce the pairing classification of knowledge file with reference to the interface.Classification also comprises a plurality of distribution captions and a plurality of categorised content with reference to the interface; Each distribution caption is the correspondence rank of respectively classifying respectively; Each classification item that each categorised content is corresponding selected respectively and each coding, and classification comprises a coding group that is made up of each selected coding with reference to the interface.
Wherein, a plurality of classification layers comprise a Knowledge category layer, and the Knowledge category layer comprises classification rank, 1 rank.
Wherein, a plurality of classification layers comprise affiliated unit's layer, and affiliated unit's layer comprises classification rank, 2 rank.
Wherein, a plurality of classification layers comprise a knowledge branch stratum, and knowledge branch stratum comprises classification rank, 3 rank.
Wherein, a plurality of classification layers comprise an Object of Knowledge and source layer, and Object of Knowledge and source layer comprise classification rank, 3 rank.
Wherein, choose module and be connected, the signal of choosing that one user imported is provided to receive use side with an outside use side.
In sum, knowledge classification of the present invention system, it can have one or more following advantage:
(1) this knowledge classification system classification of removing the enactment document archives with the multi-class mode of multi-layer multi-order; Except letting the personnel of refer document clearly learn the ken under the archive files, also can learn the source of archive files and the unit department under the upload file archives staff or the like.
(2) mode of this knowledge classification default archive files classification; Even if can let ken that the personnel that think refer document do not know this document why, still can come to search them fast and inquired for target-seeking archive files with the classification item of other setting of this document.
Description of drawings
Fig. 1 is the block diagram of Knowledge Management System of the present invention;
Fig. 2 is the synoptic diagram of the embodiment of Knowledge Management System of the present invention;
Fig. 3 is the synoptic diagram of the example edition module of embodiments of the invention;
Fig. 4 is the synoptic diagram of the classification of embodiments of the invention with reference to the interface;
Fig. 5 is the process flow diagram of the management method of Knowledge Management System of the present invention.
Among the figure: 1,51, the knowledge classification system;
11,511, sort module;
12,512, the example edition module;
13,513, choose module;
14,514, generation module;
2, use side;
3, the user;
4, computing machine;
5, server;
52, the Knowledge Storage system;
S51-S56, step.
Embodiment
Fig. 1 is the block diagram of knowledge classification of the present invention system.Among the figure, knowledge classification system 1 comprises a sort module 11, an example edition module 12, is chosen a module 13 and a generation module 14.Sort module 11 has comprised a plurality of classification layers, and each classification layer comprises at least one classification rank, and each rank of classifying comprises at least one classification item, the corresponding respectively coding of each classification item.Example edition module 12 link classification modules 11; A plurality of distribution captions and a plurality of categorised content have been comprised; Each distribution caption is the correspondence rank of respectively classifying respectively; Each categorised content links at least one classification item and the pairing coding of each classification item on the rank of respectively classifying, and example edition module 12 also comprises a delivery unit to provide transmission at least one knowledge file.Choose module 13 link example edition modules 12.Generation module 14 links example edition modules 12 and chooses module 13.
Above-mentioned, when a use side 2 is connected with knowledge classification system 1, use side 2 can provide a user to transmit knowledge files by example edition module 12.Use side 2 also provides the user to import one to choose signal to choosing module 13, to choose a wherein classification item and the pairing coding thereof of each categorised content.After the classification item of each categorised content and coding had all been chosen, generation module 14 can be classified with reference to the interface to produce one of corresponding knowledge file with reference to example edition module 12 and according to choosing module 13 selected each classification item and each coding.Classification has comprised a plurality of distribution captions and a plurality of categorised content with reference to interface likewise; Each distribution caption is the correspondence rank of respectively classifying respectively; Each classification item that each categorised content is corresponding selected respectively and each coding, and classification comprises a coding group that is made up of each selected coding with reference to the interface.
Fig. 2 is the synoptic diagram of the embodiment of Knowledge Management System of the present invention.Present embodiment is that an in-company user 3 utilizes a computing machine 4, knowledge file is sent in the server 5, and sets an example of the various classification of knowledge file.Wherein, computing machine 4 is the described use side 2 of Fig. 1.Among the figure, computing machine 4 is connected with server 5.Knowledge Management System 51 is arranged in the server 5, has also comprised a Knowledge Storage system 52 in the middle of the server 5, in order to store knowledge file.Knowledge Management System 51 has comprised sort module 511, example edition module 512, has chosen module 513 and generation module 514.Sort module 511 has comprised a plurality of classification layers, and each classification layer comprises at least one classification rank, and each rank of classifying comprises at least one classification item, and the corresponding respectively coding of each classification item is as shown in table 1.
Table 1
In table 1, can find out that a plurality of classification layers of sort module have comprised Knowledge category layer, affiliated unit's layer, knowledge branch stratum and Object of Knowledge and source layer.The Knowledge category layer provides the character that is used for setting knowledge file; The Knowledge category layer comprises classification rank, 1 rank, and its each classification item can correspondence one be encoded respectively, and coding can be A to Z; Come for example with coding C at this, the classification item of coding C is professional knowledge and managerial knowledge.Affiliated unit's layer then is as the classification of setting knowledge file with reference to company organization; Affiliated unit's layer comprises classification rank, 2 rank, and each classification item on the 1st rank and the 2nd rank can correspondence one be encoded respectively, and coding can be 00 to 99; With the patent department in the company organization is example; 65-patent department in the table, it 65 is coding, and patent department then is the title of a classification item.Knowledge branch stratum provides and is used for setting the affiliated professional domain of knowledge file, and knowledge branch stratum comprises classification rank, 3 rank, and the field of the 1st rank representative is for the widest; The field of the 2nd rank representatives is under the jurisdiction of field beneath on the 1st rank and less than the 1st rank; The field of the 3rd rank representatives then is under the jurisdiction of field beneath on the 2nd rank and less than the 2nd rank, and each classification item on the 1st rank respectively can a corresponding coding, and coding can be from aa to zz; Each classification item on the 2nd rank can correspondence one be encoded respectively; Coding can be from aa to zz, and each classification item on the 3rd rank can correspondence one be encoded respectively, and coding then can be from aaa to zzz.Object of Knowledge and source layer then mainly are will consult and the source of knowledge file provides the classification that is used for setting knowledge file to whom according to knowledge file, and Object of Knowledge and source layer comprise classification rank, 3 rank, and it is to obtain or obtain from other place from intra-company that the knowledge of knowledge file is represented on the 1st rank; Its each classification item can correspondence one be encoded respectively; It mainly is will consult to whom to take that coding can from 0 to 2, the 2 rank be represented knowledge file, and its each classification item respectively can a corresponding coding; Coding can from 0 to 3; The 3rd rank then are the sources of representing knowledge file for where, and its each classification item respectively can a corresponding coding, and coding can from 00 to 99.More than the setting of classification layer, classification rank, classification item and coding is all one embodiment of the invention, not as limit, in fact can optionally change design.
In the present embodiment; Example edition module 512 has comprised a plurality of distribution captions and a plurality of categorised content, and example edition module 512 has connected sort module 511, makes each distribution caption correspondence rank of respectively classifying respectively; Each categorised content links a plurality of classification items and a plurality of coding on the rank of respectively classifying, and is as shown in Figure 3.
Fig. 3 is the synoptic diagram of the example edition module of present embodiment.Among the figure; The distribution caption of example edition module 512 comprises that Knowledge category, affiliated unit 01, affiliated unit 02, knowledge sublevel 01, knowledge sublevel 02, knowledge sublevel 03, tissue are inside and outside, Object of Knowledge and Knowledge Source, and each distribution caption all distinguish each rank of classifying of corresponding each classification layer.The all corresponding categorised content of each distribution caption; Each categorised content all is attached to a plurality of classification items and a plurality of coding on corresponding classification rank; For example: distribution caption is ' knowledge a sublevel 03 '; Its corresponding categorised content has linked a plurality of classification items and a plurality of coding, for example: aaa-Browser etc.And each categorised content can pulldownmenus mode one of them that user 3 selects in a plurality of codings is provided, wherein, pulldownmenus fetches control via choosing module 513 with example edition module 512 chains.The mode of above-mentioned pulldownmenus is merely wherein a kind of presentation mode, but not as limit.
As shown in Figure 3, example edition module 512 also can comprise a plurality of message headers, is respectively title, summary and keyword, and there is the space of the formula of inserting on title the right, and can let user 3 insert the title of knowledge file.Summary corresponding one is inserted the space of formula, can let user 3 insert the summary of knowledge file.The space of formula inserted in keyword corresponding, can let user 3 insert the keyword that knowledge file comprises, and can let the people arrive this knowledge file according to this keyword searching.
As shown in Figure 3, example edition module 512 also comprises the function of an add file, and its add file is the delivery unit in the example edition module 12 described in Fig. 1.This add file is to be used to provide user 3 to transmit knowledge file.
Like Fig. 2, table 1 and shown in Figure 3, in the present embodiment, user 3 provides a knowledge file, file ' Taiwan patent fee .doc ', and utilize server 5 to provide to the add file function of the example edition module 512 of computing machine 4 and transmit knowledge file by name.User 3 imports and chooses signal to choosing module 513, to choose a wherein classification item and the pairing coding thereof of each categorised content in the example edition module 512.This moment distribution caption ' Knowledge category ' pairing categorised content, the classification item that user 3 selects and be encoded to ' C-professional knowledge and managerial knowledge '.Distribution caption ' affiliated unit's 01 ' pairing categorised content, the classification item that user 3 selects and be encoded to ' 65-patent department '.Distribution caption ' affiliated unit's 02 ' pairing categorised content, the classification item that user 3 selects and be encoded to ' 00-patent department '.According to ' 00-patent department ', distribution caption ' knowledge sublevel 0 ' pairing categorised content show be under the jurisdiction of ' 00-patent department ' classification item, in the present embodiment, the classification item that user 3 selects and be encoded to ' ta-patented claim practice '.According to ' ' the ta-patented claim practice ' of knowledge sublevel 01 '; Distribution caption ' the pairing categorised content of knowledge sublevel 02 ' show be under the jurisdiction of ' ta-patented claim practice ' the classification item in field; In the present embodiment, the classification item that user 3 selects and be encoded to ' aa-Taiwan patented claim practice '.According to ' ' the aa-Taiwan patented claim practice ' of knowledge sublevel 02 '; ' the pairing categorised content of knowledge sublevel 03 ' shows the classification item in the field that is under the jurisdiction of ' aa-Taiwan patented claim practice ' to distribution caption, the classification item that user 3 selects and be encoded to ' aab-expense '.The pairing categorised content of distribution caption ' tissue inside and outside ', the classification item that user 3 selects and be encoded to ' 0-domain knowledge '.The pairing categorised content of distribution caption ' Object of Knowledge ', the classification item that user 3 selects and be encoded to ' the 1-scala media person in charge '.The pairing categorised content of distribution caption ' Knowledge Source ', the classification item that user 3 selects and be encoded to ' 39-patent database '.User 3 is again with the input of the pairing content of message header ' title ' ' patent practice '.The pairing content input of message header ' summary ' ' is introduced the relevant required knowledge of patented claim '.With the pairing content input of message header ' keyword ' ' patent '.Accomplish classification with knowledge file this moment, and knowledge file is stored in the Knowledge Storage system 52, and 514 of generation modules can produce a classification with reference to the interface, as shown in Figure 4.
Fig. 4 is the synoptic diagram of the classification of embodiments of the invention with reference to the interface.This classification has also comprised a plurality of distribution captions and a plurality of categorised content with reference to the interface synoptic diagram.Each a plurality of distribution caption correspondence rank of respectively classifying, the corresponding classification item of each categorised content and coding.And this classification has also comprised a code with reference to the interface, and its code is made up of each coding of choosing.This classification with reference to the message header at interface more one ' annex ', the title of corresponding explicit knowledge archive files ' Taiwan patent fee .doc '.
Fig. 5 is the process flow diagram of the management method of Knowledge Management System of the present invention.The steps include: that S51-provides a plurality of classification layers via sort module, each classification layer comprises at least one classification rank, and the rank of respectively classifying comprise at least one classification item, the respectively corresponding coding of each classification item; S52-provides a plurality of distribution captions and a plurality of categorised content by the example edition module, and each distribution caption is correspondence rank of respectively classifying respectively, and each categorised content system links at least one classification item and the pairing coding of each classification item on the rank of respectively classifying; S53-is provided by the delivery unit in the example edition module and uploads at least one knowledge file; S54-receives and to choose signal via choosing module, with a wherein classification item of choosing each categorised content in the example edition module and correspondence coding; S55-by generation module with reference to the example edition module and according to choosing each selected classification item of module and each coding, with the classification that produces corresponding knowledge file with reference to the interface; S56-provides a plurality of distribution captions and a plurality of categorised content via classification with reference to the interface; And each distribution caption is the correspondence rank of respectively classifying respectively; Each classification item that each categorised content is corresponding selected respectively and each coding, and classification comprises a coding group that is made up of each selected coding with reference to the interface.
Learn that by above-mentioned Knowledge Management System of the present invention except letting the user that consults knowledge file clearly learn the ken under the knowledge file, also can be learnt the source of knowledge file and upload unit department under the knowledge file personnel or the like.And because knowledge file has been done the classification of multilayer,, still can come to search them fast and inquired for target-seeking knowledge file with the classification item of other setting of knowledge file even if can let ken that the user do not know knowledge file why.
The above is merely illustrative, but not is restricted.Anyly do not break away from spirit of the present invention and category, and, all should be included in the present patent application scope its equivalent modifications of carrying out or change.
Claims (9)
1. knowledge classification system, it is characterized in that: it comprises:
One sort module comprises a plurality of classification layers, and respectively this classification layer comprises at least one classification rank, and respectively these classification rank comprise at least one classification item, respectively the corresponding respectively coding of this classification item;
One example edition module; Link said sort module; It comprises a plurality of distribution captions and a plurality of categorised content, respectively respectively corresponding each the said classification rank of this distribution caption, the respectively said at least one classification item and the pairing said coding of each classification item on these each said classification rank of categorised content binding; And
One chooses module, links said example edition module, and it receives one and chooses signal, to choose a wherein said classification item and the pairing said coding thereof of each said categorised content.
2. knowledge classification according to claim 1 system, it is characterized in that: wherein said example edition module also comprises a delivery unit, transmits at least one knowledge file in order to provide.
3. knowledge classification according to claim 1 system is characterized in that: also comprise:
One generation module; Link said example edition module and choose module; It is with reference to said example edition module and according to said each selected said classification item of module and each the said coding chosen, and to produce the pairing classification of said knowledge file with reference to the interface, this classification comprises said a plurality of distribution caption and a plurality of categorised content with reference to the interface; Respectively respectively corresponding each the said classification rank of this distribution caption, respectively corresponding selected respectively each said classification item and each coding of this categorised content.
4. knowledge classification according to claim 2 system, it is characterized in that: wherein said classification also comprises a code with reference to the interface, the coding group that this code correspondence is made up of selected respectively this coding.
5. knowledge classification according to claim 1 system is characterized in that: wherein said many classification layers comprise a Knowledge category layer, and this Knowledge category layer comprises said classification rank, 1 rank.
6. knowledge classification according to claim 1 system is characterized in that: wherein said many classification layers comprise affiliated unit's layer, and this affiliated unit's layer comprises said classification rank, 2 rank.
7. knowledge classification according to claim 1 system is characterized in that: wherein said many classification layers comprise a knowledge branch stratum, and this knowledge branch stratum comprises said classification rank, 3 rank.
8. knowledge classification according to claim 1 system is characterized in that: wherein said many classification layers comprise an Object of Knowledge and source layer, and this Object of Knowledge and source layer comprise said classification rank, 3 rank.
9. knowledge classification according to claim 1 system, it is characterized in that: the wherein said module of choosing is connected with a use side, to receive the said signal of choosing that said use side provides.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110008951XA CN102591882A (en) | 2011-01-17 | 2011-01-17 | Knowledge classification system |
| TW100109473A TWI443537B (en) | 2011-01-17 | 2011-03-18 | Knowledge category system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110008951XA CN102591882A (en) | 2011-01-17 | 2011-01-17 | Knowledge classification system |
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|---|---|
| CN102591882A true CN102591882A (en) | 2012-07-18 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110008951XA Pending CN102591882A (en) | 2011-01-17 | 2011-01-17 | Knowledge classification system |
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| CN (1) | CN102591882A (en) |
| TW (1) | TWI443537B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107092618A (en) * | 2016-10-27 | 2017-08-25 | 北京小度信息科技有限公司 | A kind of information processing method and device |
| CN109726178A (en) * | 2018-12-25 | 2019-05-07 | 中国南方电网有限责任公司 | Interactive application method, apparatus, computer equipment and the storage medium of unstructured document |
| CN112905862A (en) * | 2021-02-04 | 2021-06-04 | 深圳市永达电子信息股份有限公司 | Data processing method and device based on table function and computer storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1395176A (en) * | 2001-07-06 | 2003-02-05 | 神达电脑股份有限公司 | Virtual library management system and method |
| CN1428722A (en) * | 2001-12-26 | 2003-07-09 | 英业达股份有限公司 | System and method for data encoding control |
| CN1731447A (en) * | 2005-08-31 | 2006-02-08 | 李玉彬 | Method of digitized computer input management with identity coding according to physical features |
-
2011
- 2011-01-17 CN CN201110008951XA patent/CN102591882A/en active Pending
- 2011-03-18 TW TW100109473A patent/TWI443537B/en not_active IP Right Cessation
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1395176A (en) * | 2001-07-06 | 2003-02-05 | 神达电脑股份有限公司 | Virtual library management system and method |
| CN1428722A (en) * | 2001-12-26 | 2003-07-09 | 英业达股份有限公司 | System and method for data encoding control |
| CN1731447A (en) * | 2005-08-31 | 2006-02-08 | 李玉彬 | Method of digitized computer input management with identity coding according to physical features |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107092618A (en) * | 2016-10-27 | 2017-08-25 | 北京小度信息科技有限公司 | A kind of information processing method and device |
| CN109726178A (en) * | 2018-12-25 | 2019-05-07 | 中国南方电网有限责任公司 | Interactive application method, apparatus, computer equipment and the storage medium of unstructured document |
| CN112905862A (en) * | 2021-02-04 | 2021-06-04 | 深圳市永达电子信息股份有限公司 | Data processing method and device based on table function and computer storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| TW201232300A (en) | 2012-08-01 |
| TWI443537B (en) | 2014-07-01 |
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Application publication date: 20120718 |