CN103914487B - The collection of document, the system identifying and associating - Google Patents
The collection of document, the system identifying and associating Download PDFInfo
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- CN103914487B CN103914487B CN201310006234.2A CN201310006234A CN103914487B CN 103914487 B CN103914487 B CN 103914487B CN 201310006234 A CN201310006234 A CN 201310006234A CN 103914487 B CN103914487 B CN 103914487B
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Abstract
The collection that the invention discloses document, the system identifying and associating, built the Knowledge Management System based on computer system of a certain professional field, improve the learning efficiency to professional field knowledge and utilization ratio.Its technical scheme is: identifies in keyword search mode in not particular document and associates and one group of key word has a series of document of logical relation between document, and the graph of a relation forming this series documentation is named by certain logical combination with this group key word.
Description
Technical field
The present invention relates to document system, particularly relate in a certain particular professional field online or unit document (containing hands
Holding equipment) collection, identify and the efficient processing system associated.
Background technology
By search and the system of displaying of the most existing many documents, professional and technical personnel obtains, learns and grind
Study carefully document and it needs to from many parts of date of formation differences, author different (independent author or associating author) document obtain effectively
Information as the reference frame of relevant behaviour criterion.The a certain knowledge content that may finally need only accounts for its document inquired about
Content less than 5%, and these knowledge contents may be dispersed among several inconspicuous relevant documents.
Applicants have realised that, need for these professional and technical personnel, to search out from their field of interest and meet
They require, customizing messages accurately, it is the most time-consuming for i.e. needing the answer extracting corresponding information at magnanimity document.And
And the personnel of relevant similar service can be provided the most rare for these professionals.
Therefore, applicants have realised that need to set up a kind of be preferably acquired for document, identify and associate be
System method.
Summary of the invention
It is an object of the invention to solve the problems referred to above, it is provided that the collection of a kind of document, the system identifying and associating, take
Build the Knowledge Management System based on computer system of a certain professional field, improve the learning efficiency to professional field knowledge
And utilization ratio.
The technical scheme is that the collection that present invention is disclosed a kind of document, the system identifying and associating, including literary composition
Shelves classification storage tube platform server and document library Platform Server, wherein document classification storage tube platform server includes
Between the harvester of single document, the mark of single document and associated apparatus and document, graph of a relation sets up device, and document stores
The host node of device is deployed on document classification storage tube platform server, the image release of the host node of document storage
It is deployed on document library Platform Server, wherein:
The harvester of single document, for carrying out the document of required management type collecting, initial processing and system lead
Enter；
The mark of single document and associated apparatus, classify to default technical term according to different dimensions and level
And definition, set up and safeguard the lists of keywords of corresponding professional field, single document is carried out according to different attributes and level
Definition, arranges several document element in single document, document element carries out the system banner of several key words, definition
Issuable logical relation list between the single document of any two or document element, and by the logical relation kind set
Class realizes the association of the logical relation between two single documents and arranges；
Between document, graph of a relation sets up device, is defined graph of a relation between document, to each composition portion of graph of a relation between document
/ relation be defined；
Document storage, closes according between harvester, the mark of single document and associated apparatus, the document of single document
Be figure set up device call in the data base that relevant information is stored document classification storage tube platform server, will specify
Formatted file file in document library Platform Server, and by data switch engine by related data information at document classification
Data are transmitted between storage tube platform server and document library Platform Server.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, the harvester of single document
Farther include:
Form collator module, is organized into the form specified by document；
Classification information identification module, linking format sorting module, formatted file is added on request preliminary classification information
Mark；
File imports module, link sort information identification module, is imported by the formatted file that with the addition of classification message identification
In system.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, the mark of single document and pass
Coupling device farther includes:
Key word dimension set module, is set the dimension of key word；
Key definition module, connects key word dimension set module, and the key word corresponding to dimension each to key word enters
Row definition；
Document classification setting module, carries out classification according to key word to single document and sets；
Document snippet setting module, carries out classification according to key word to each document snippet of document and sets.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, the mark of single document and pass
Coupling device also includes:
Document element arranges module, and the document snippet with same keyword mark of single document is combined as several
Document element；
Document element mark module, carries out the system banner of several key words to document element；
Logic association module, issuable logical relation list between the definition single document of any two, by setting
Fixed logical relation kind realizes the association of the logical relation between two single documents or document element in system.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, between document, graph of a relation sets up dress
Put and farther include:
Key word name module, is named by specific one group of key word graph of a relation between arbitrary concrete document；
Graph of a relation generation module between document, is generated graph of a relation between document, between in graph of a relation between document by document element
The representing of a series of document unit of certain logic relation arrangement, the pattern identification of logical relation between document element, list
Representing of one document element.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, document storage is further
Including:
Relational DBMS, is used for setting up document classification storage tube platform；
Document base management system, is used for setting up document library platform；
Write operation module, calls the write operation performing data base to each device；
Preserve operation module, each device is called files function and preserves pass between corresponding single document files or document
It it is map file；
Platform data transport module, is serviced related data in document classification storage tube platform by data switch engine
Transmit between device and document library Platform Server.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, system also includes document textual research and explain
Acquisition platform server, including:
Document textual research and explain harvester, gathers the input data that document is explained that content is relevant by user；
The input data collected are audited by data acquisition examination & verification device；
Document textual research and explain storage device, by input data link relevant for the document explanation content by examination & verification to corresponding literary composition
Between shelves or document, graph of a relation stores.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, the logical relation bag between document
Include but be not limited to derived relation, parallel relation or relation and relation, inclusion relation, revision relation, covering relation, uncertainty relation
Logical relation, unique icon in the logical relation correspondence system between each of which document.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, concrete implementation mode is also wrapped
Include the service architecture system built based on cloud, it is achieved the data query in such as high in the clouds, program update and at file renewal
The services such as reason.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, document includes but not limited to opinion
Literary composition, teaching material, historical document, laws and regulations, training courseware, news and bulletin, include but not limited to word, audio frequency, video, webpage
Multimedia medium.
The collection that present invention further teaches a kind of document, the system identifying and associating, set at separate unit in the way of uniprocessor version
Standby upper operation, including:
The harvester of single document, for carrying out the document of required management type collecting, initial processing and system lead
Enter；
The mark of single document and associated apparatus, classify to default technical term according to different dimensions and level
And definition, set up and safeguard the lists of keywords of corresponding professional field, single document is carried out according to different attributes and level
Definition, arranges several document element in single document, document element carries out the system banner of several key words, definition
Issuable logical relation list between the single document of any two or document element, and by the logical relation kind set
Class realizes the association of the logical relation between two single documents and arranges；
Between document, graph of a relation sets up device, is defined graph of a relation between document, to each composition portion of graph of a relation between document
/ relation be defined；
Document storage, closes according between harvester, the mark of single document and associated apparatus, the document of single document
Be figure set up device call in the data base that relevant information is stored single device, the formatted file specified is filed list
In the data base of platform equipment；
Uniprocessor version packing and issuing device, by specified format after the data finally preserved by document storage and filing
File be packaged into complete issue parcel, and generate distributing device program targetedly according to the difference of target platform
Executable file and supporting ancillary documents；
Client erecting device, by performing the executable of distributing device, the expansion complete by issuing parcel
In single device, including: the file of specified format after the data finally preserved by document storage and filing.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, the harvester of single document
Farther include:
Form collator module, is organized into the form specified by document；
Classification information identification module, linking format sorting module, formatted file is added on request preliminary classification information
Mark；
File imports module, link sort information identification module, is imported by the formatted file that with the addition of classification message identification
In system.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, the mark of single document and pass
Coupling device farther includes:
Key word dimension set module, is set the dimension of key word；
Key definition module, connects key word dimension set module, and the key word corresponding to dimension each to key word enters
Row definition；
Document classification setting module, carries out classification according to key word to single document and sets；
Document snippet setting module, carries out classification according to key word to each document snippet of document and sets.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, the mark of single document and pass
Coupling device also includes:
Document element arranges module, and the document snippet with same keyword mark of single document is combined as several
Document element；
Document element mark module, carries out the system banner of several key words to document element；
Logic association module, issuable logical relation list between the definition single document of any two, by setting
Fixed logical relation kind realizes the association of the logical relation between two single documents or document element in system.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, between document, graph of a relation sets up dress
Put and farther include:
Key word name module, is named by specific one group of key word graph of a relation between arbitrary concrete document；
Graph of a relation generation module between document, is generated graph of a relation between document, between in graph of a relation between document by document element
The representing of a series of document unit of certain logic relation arrangement, the pattern identification of logical relation between document element, list
Representing of one document element.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, system also includes document textual research and explain
Acquisition subsystem, including:
Document textual research and explain harvester, gathers the input data that document is explained that content is relevant by user；
The input data collected are audited by data acquisition examination & verification device；
Document textual research and explain storage device, by input data link relevant for the document explanation content by examination & verification to corresponding literary composition
Between shelves or document, graph of a relation stores.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, the logical relation bag between document
Include but be not limited to derived relation, parallel relation or relation and relation, inclusion relation, revision relation, covering relation, uncertainty relation
Logical relation, unique icon in the logical relation correspondence system between each of which document.
The collection of the document according to the present invention, an embodiment of the system identifying and associating, document includes but not limited to opinion
Literary composition, teaching material, historical document, laws and regulations, training courseware, news and bulletin, include but not limited to word, audio frequency, video, webpage
Multimedia medium.
The present invention contrasts prior art following beneficial effect: the solution of the present invention is with key word in magnanimity document
Way of search searches out has a series of document of document logical relation with one group of specific key word, and the most a series of to this
Graph of a relation between document is named with the key word of one group of strong correlation therewith.Specifically, the solution of the present invention is by some
Station server group is with the increasing document of a certain professional field of sortord Collection and conservation of agreement, and is placed on phase
The data base answered preserves.By the key of multiple dimensions after up-to-date document being acquired by document classification storage tube platform
Word carries out document snippet classification to document, forms document element according to the document snippet of all correspondences of the keyword abstraction specified,
Set up keyword index, and produce, by document element, the graph of a relation meeting human brain thinking logic simultaneously, and with multiple dimensions
The document graph of a relation is named by crucial phrase.By data switch engine by the key definition document snippet of multiple dimensions
Sorted document and index thereof, and the document relationships figure meeting human brain thinking logic is sent to document library platform.
Building by this system, may help to user and searches for from the magnanimity document of data base with the fastest speed
To graph of a relation complete content and relevant information between a certain concrete document, improve the learning efficiency to this professional field knowledge and utilization
Efficiency.
Accompanying drawing explanation
Collection that Fig. 1 corresponds to the document of the present invention, the block diagram of an embodiment of the system identifying and associating.
Fig. 2 A-2D respectively illustrates the refinement structure of each device in system.
Fig. 3 corresponds to the block diagram of operation Fig. 1 system of the present invention.
Data base's aspect of the harvester that Fig. 4 corresponds to the single document of the present invention realizes schematic diagram.
Fig. 5 corresponds to the block diagram of graph of a relation definition between the document collection processing in the present invention and document.
Fig. 6 corresponds to graph of a relation between the single document identification associated apparatus of the present invention and document and sets up facility database layer
Face realizes schematic diagram.
Fig. 7 corresponds to data circulation part between the document classification storage tube platform in the present invention, document library platform
Realize block diagram.
Fig. 8 is the collection of the document of the present invention, the block diagram of another embodiment of system that identifies and associate.
Fig. 9 is the system operational flow diagram of the embodiment shown in Fig. 8.
Figure 10 is the refinement structure chart of document textual research and explain acquisition platform server.
Detailed description of the invention
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
Collection that Fig. 1 shows the document of the present invention, the structure of an embodiment of the system identifying and associating.The present invention's
System is not only suitable for online document, is also applied for unit document (comprising handheld device).Embodiments of the invention are with online literary composition
Illustrating as a example by Dang, the application of unit document is similar to, and differs only in and makes uniprocessor version into, and this is that those skilled in the art know
's.Referring to Fig. 1, the system of the present embodiment includes document classification storage tube platform server 10, document library Platform Server
12。
Document classification storage tube platform server 10 exchanges except common central processing unit, operating system and data
Outside engine, also include control application part: the harvester 100 of single document, the mark of single document and associated apparatus
102, between document, graph of a relation sets up device 104 and the document storage being deployed on document classification storage tube platform server
The host node 106 of device.
Document library Platform Server 12 in addition to common central processing unit, operating system and data switch engine,
Also include control application part: the image release of the host node of the document storage being deployed on document library Platform Server
124。
The harvester 100 of single document totally achieves collection, the initial processing of required management type document and leads
Enter the function of system.Fig. 2 A shows the internal structure of the harvester 100 of single document, in conjunction with Fig. 2 A, adopting of single document
Acquisition means 100 is deployed on document classification storage tube platform server 10, and device 100 includes: form collator module 1000, point
Category information mark module 1002, file import module 1004.
Document is organized into, outside system, the formatted file specified by form collator module 1000.
Classification information identification module 1002 in the outer preliminary classification information that formatted file added as requested of system, including but
It is not limited to: heading message, identification number information, document header, document text message, accessory information, multi-language version information etc..
File imports module 1004 and formatted file is passed through system introducing to document classification storage tube platform server 10
On.
Fig. 3 shows the operational process of present system, and the operation of the harvester 100 of single document is described in conjunction with Fig. 3
Flow process is as follows.
First, it is provided that comprise at least one data structure associated by the document files of specified format with document data
The knowledge base of (document information underlying table, author table, document entire contents table, document antistop list in full).Fig. 4 shows single
Relation between the table of data base's aspect of the harvester 100 of document.
The system of the present invention is supplied to the system tool gathering appointment document and its implementation of user's complete set, uses
The flow process that a document gathers can be initiated in family.The 1st row part that flow process is shown in Figure 5.
The document collected by previous step can be judged by user, it is judged that whether it has the value included, if do not had
There is then this Flow ends, otherwise then proceed subsequent treatment.
Then, upload to after document being organized into the specified file format that system is capable of identify that in system temporary library.Response
In receiving the upload request from requestor, the upper transmitting file used is sent to server by the way of file stream
End, reads the file branch meeting call format specified and resolves.
The document submitted to is audited, it is judged that whether its form and content meet the requirements, if undesirable, move back
Require the step for that back into file uploading temporary library again to process.If examination & verification is by rear, then by the information in specified format file
Point field is also deposited in document information underlying table after conversion, and the author of the document is deposited in author table (a literary composition
Shelves can have multiple author, has therefore allowed a plurality of record), wherein underlying table id field is the external key of document information underlying table,
And key word corresponding for document text is stored in document in full antistop list (document text can have multiple key word, therefore
Allow a plurality of record), wherein entire contents table id is the outer strong of entire contents table.
After aforesaid operations all success, specified format file is deposited in document library, and result feedback will be performed
To requestor.The operation of above-mentioned write into Databasce and document library is all called document storage 106 and is realized.
The mark of single document and associated apparatus 102 are one of important component parts of the present invention, are deployed in document classification
On storage tube platform server 10, it mainly realizes following functions: 1, enter default technical term according to different dimensions
Row classification and definition, set up and safeguard the lists of keywords of corresponding professional field；2, single document is entered according to different attributes
Row definition, these association attributeses become the querying condition of system；3, several document element are set in single document；4, definition
Issuable logical relation list between the single document of any two or document element；5, by the logical relation kind set
Class realizes the association of the logical relation between two single documents and arranges.
Fig. 2 B shows mark and the internal structure of associated apparatus 102 of single document.In conjunction with Fig. 2 B, the mark of single document
Know and associated apparatus 102 includes: key word dimension set module 1020, key definition module 1022, document element mark mould
Block 1023, document classification setting module 1024, document snippet setting module 1026.
In addition, mark and the associated apparatus 102 of single document also includes: document element arranges module 1021, logic
Relating module 1025.Document element arranges module 1021 by the document snippet combination with same keyword mark of single document
For several document element.Logic association module 1025 defines issuable logical relation row between the single document of any two
Table, realizes the logical relation between two single documents or document element by the logical relation kind set in system
Association.
The dimension of key word is set by key word dimension set module 1020.Key definition module 1022 connects closes
Keyword dimension set module 1022, the key word corresponding to dimension each to key word is defined.Document element mark module
1023 pairs of document element carry out the system banner of several key words.Document classification setting module 1024 according to key word to single
Document carries out classification and sets.Document snippet setting module 1026 carries out classification according to key word to each document snippet of document and sets
Fixed.
While single document carries out attribute-bit, it is established that the keyword classification system of multiple dimensions, use key
Word carries out the division of Multi-angle omnibearing to document.Concrete grammar includes: each document snippet for document identifies respectively
One group of key word；Same document is determined having implication document snippet similar, the close key word of concept from different dimensions
Justice is several document element；The logical relation between these document element is set according to the thinking of the construction that classifies, deconstructs,
And each logical relation one exclusive icon of setting is identified, the most basic picture that represents of composition is referred to as between document
Graph of a relation represents.Such as, derived relation represents: document B is based on what a certain document snippet of document A was write.Parallel relation
Represent: for being common based on the relation between two or more documents that a certain document snippet of document A is write, for parallel literary composition
Shelves.When setting parallel document, issuing time residence early is left, the right side, residence that issuing time is late.
During between document, graph of a relation typically can define the key word of several different dimensions respectively according to different professional fields
At least select the key word composition no less than 2.
The mark of single document is receiving being identified single document and the life associated of operator with associated apparatus 102
Performing associative operation after order and interact with user, the relation between internal database table refers to Fig. 6.
The mark of single document and the internal operation flow process of associated apparatus 102 see shown in Fig. 5 the 2nd row.Offer comprise to
Few data structure (antistop list, a document information that keyword data is associated with document data, document snippet data
Underlying table, document entire contents table, document in full antistop list, document segment content table, document segment antistop list) knowledge
Storehouse.
System provides the function being defined key word dimension, the key word kind word in correspondence database antistop list
Section.System provides the function that confirmed key word dimension is edited concrete key word, includes but not limited to: key word
The attributes such as title, key word dimension (kind) are edited, and initiate the flow process of a key definition.
System provides the function auditing the key word necessity submitted to and each attribute facilities thereof, if examination & verification
Not by then returning the step of concrete key word editor, if examination & verification by; data are saved into the antistop list of data base
In.
System provides the function of the key word that document is defined respectively correspondence by document snippet.Data are stored in literary composition by this function
Shelves paragraph content table, document segment antistop list.The underlying table id field of document snippet wherein document segment content table is document
The paragraph table id of the external key document segment antistop list of the self-propagation id field of Information base table is oneself of document segment content table
Increasing the external key of id field, key word id field is the external key of the self-propagation id field of antistop list.
System provides and document is formally stored in document classification storage tube platform data base and document library, and performs to issue behaviour
Work energy.
Above-mentioned write into Databasce, the operation of document library are the most all to call document storage 106 to realize.
Between document, graph of a relation is set up device 104 and is deployed on document classification storage tube platform server 10, and it is to literary composition
Between Dang, graph of a relation is defined, and is defined relation between each ingredient of graph of a relation between document.
As shown in Figure 2 C, between document graph of a relation set up device 104 include key word name module 1040 and document between relation
Figure generation module 1042.Key word names module 1040 to graph of a relation between arbitrary concrete document by specific one group of key word
It is named.Between document, graph of a relation generation module 1042 is used for generating graph of a relation between document, including relevant in graph of a relation between document
The pattern identification of logical relation between the representing of document element group, document element, the representing of single document element.
Between document graph of a relation set up device 104 receive between the document of operator perform after graph of a relation sets up name relevant
Operation, and interact with user, flow process refers to shown in Fig. 5 the 3rd row, and between database table, relation refers to Fig. 6.
There is provided and comprise at least one data graph of a relation data between keyword data with document data, document associated
Structure (antistop list, document information underlying table, document entire contents table, document in full antistop list, document segment content table,
Graph of a relation correspondence paragraph table between graph of a relation base table, document between relation header table, document between document segment antistop list, document)
Knowledge base.
System provides creating graph of a relation between document and the function of maintenance process of complete set.System provides one
Kind defines the function of the key word dimension between this document involved by graph of a relation.And define designed key word dimension needs right
The concrete key word answered.Data being stored in document knowledge nod table, wherein key word dimension 1ID～key word dimension [N] ID divide
It it not the external key of antistop list self-propagation id field.
System will list all qualified documents according to set key word, and by meeting several numbers simultaneously
Amount descending sort.
System offer one is listed in all qualified documents to filter out and best suits graph of a relation concept between this document
The function of document element.For the logical relation between the document in a certain particular professional field, (N is nature can be divided into N class
Number) logical relation, such as: derived relation (i.e. A derives from B), parallel relation/with relation (i.e. A with B is parallel) or relation (i.e. A or B
All set up), inclusion relation (i.e. A comprises B), revision relation (i.e. the part of A is stated by B, content is revised), covering relation (B
Content completely include A, but more complete than A, the most extensively approval B rather than A, then A is covered by B), uncertainty relation (A with
B is contrary).
For example, A teaching material is divided into 10 chapters, every chapter divide 10 joints.The two of same thing explained respectively by 4th chapter and the 5th chapter
Individual different attribute, belongs to parallel relation.1st chapter and the 1st chapter Section 2 belong to inclusion relation, and the i.e. the 1st chapter comprises the 1st chapter the 2nd
Joint.8th chapter Section 3 and the 8th chapter Section 4 elaborate two of same thing contrary but the most confirmed theory hypothesis, front
It is untenable that person sets up then the latter, otherwise the most in this way, i.e. both are uncertainty relations.9th chapter Section 7 and the 9th chapter Section 8 elaborate
Two of same thing parallel but the most confirmed theory hypothesis, the former sets up and sets up the most necessarily relation, i.e. with the latter
Both are or relation.X chapter in B teaching material is the textual research and explain to A teaching material the 5th chapter, then the former with the latter is derived relation.
Here, system will invest unique pattern identification for the logical relation between each document, when showing with this
Specific identifier is as the mark of the logical relation between two document element, in order to system user directly understands and identification.
Each single document can be broken down into several document snippet, and each document snippet can be defined as one
Individual document element.For any document of a certain professional field, necessarily have the attribute of more than one technical term in this field,
This technical term can be the key corresponding with the document unit document snippet by the formal definition of computer system assignment
Word.
For example, document snippet X and Y is parallel relation, and key word corresponding for document snippet X is A, B, C, D, document sheet
Key word corresponding for section Y is B, C, D, E, then when scanning for B-C-D key word, then system display result is B-C-D.
Each document element chosen can embody with the form recorded in graph of a relation base table between document, Qi Zhongzhi
Knowing the external key that table id field of nodding is the self-propagation id field of relation header table between document, document basis table id is document information base
The external key of the self-propagation id field of plinth table, Element ED field automatically generates according to rule.Specific rules is:
Document element: the numeral that during " PF "+selection element, timestamp is changed；
Derived relation: the numeral that during " PL "+selection element, timestamp is changed；
Parallel relation: the numeral that during " PE "+selection element, timestamp is changed；
Revision relation: the numeral that during " PM "+selection element, timestamp is changed；
Covering relation: the numeral that during " PN "+selection element, timestamp is changed；
Inclusion relation: the numeral that during " PQ "+selection element, timestamp is changed；
Uncertainty relation: the numeral that during " PT "+selection element, timestamp is changed.
Graph of a relation correspondence paragraph table needs to insert between sublist document selected document element simultaneously specifically corresponding
Paragraph, wherein between document, graph of a relation base table id field is the external key of graph of a relation base table self-propagation id field, section between document
The sequence number field that falls is the external key of paragraph row's sequence number field of document segment content table.
System provides and is laid out the document element filtered out, and arranges the logic between these document element simultaneously and closes
The function of system, this logical relation includes but are not limited to: derived relation, parallel relation, revision relation, covering relation, comprise
Relation, uncertainty relation etc..
The method realized by: first add the document element of wanted annexation to designing in district, adjustment coordinate position；Add again
Adding being related in design district of required design, system will draw relational graph effect in real time, it is possible to pulling according to user
The details such as mobile the adjustment position of relationship elements, size, thickness；Set the document element unit connecting two ends of relationship elements respectively
Element, the two ends of relationship elements can only select document element element, document element element also can only be coupled together by relationship elements.
As a example by derived relation, between document in graph of a relation base table, derived relation element needs to be respectively provided with the upper of it
Element ID, lower element ID.Two document element simultaneously chosen by upper element ID, lower element ID, to update the most equally
Lower element ID and corresponding upper element ID, and skip Relation Element to being needed to arrange it by the document element corresponding to upper element ID
The lower element entity ID that element is directly connected to, skips relationship elements to being needed to arrange it by the document element corresponding to lower element ID
The upper element entity ID being directly connected to.Here upper element ID, lower element ID, upper element entity ID, lower element entity ID are
It it is the external key of the Element ED field in graph of a relation base table between document.
Other as parallel relation, revision relation, covering relation, inclusion relation, uncertainty relation be all by with derived relation phase
Same processing method processes；
Simultaneously for document element, graph of a relation base table needs between document record its element in design district and start X
Coordinate, element start Y coordinate, to design the upper left corner, district for (0,0) point.
Simultaneously for each relationship elements, graph of a relation base table needs between document record its element in design district to open
Beginning X-coordinate, element start Y coordinate, element terminates X-coordinate, element terminates Y coordinate, to design the upper left corner, district for (0,0) point, with
And lines picture streaming data.
Wherein lines picture streaming data, is will finally to decide the size of relationship elements, thickness etc. in design district
Details is converted into the most general vectogram png picture format and is again converted into binary picture streaming data and stores data
Storehouse.
System provides the function auditing graph of a relation between the document submitted to, it is judged that the definition of graph of a relation between the document
And the logical relation between document element arranges etc. the most correct, if incorrect, will pulled back from the establishment of graph of a relation between document
This step re-executes, otherwise examination & verification is by then proceeding subsequent treatment.
System provides and graph of a relation between document is formally stored in document classification storage tube platform data base and document library, and holds
Row issues the function of operation.
Above-mentioned write into Databasce, the operation of document library are the most all to call document storage 106 to realize.
The host node 106 of document storage is deployed on document classification storage tube platform server 10, and at literary composition
The image release 124 of shelves storehouse platform upper administration host node.Document storage 106 is according to the harvester of single document, single
Between the mark of document and associated apparatus, document, graph of a relation is set up calling of device and relevant information is stored document classification storage tube
In the data base of platform server, the formatted file specified is filed in document library Platform Server, and is handed over by data
Change engine and related data information is transmitted between document classification storage tube platform server and document library Platform Server number
According to.
As shown in Figure 2 D, document storage 106 includes Relational DBMS 1060, document base management system
1061, write operation module 1062, preservation operation module 1063 and platform data transport module 1064.Relational data library management
System 1060 is used for setting up document classification storage tube platform.Document base management system 1061 is used for setting up document library platform.Write
Enter operation module 1062 and each device is called the write operation performing data base.Preserve the operation module 1063 tune to each device
Graph of a relation file between corresponding single document files or document is preserved in order to file function.Platform data transport module 1064 passes through
Data switch engine by related data between document classification storage tube platform server 10 and document library Platform Server 12
Transmission.
Document storage 106 is receiving execution database purchase and document library filing after the request of other devices
Interactive approach.
Referring to Fig. 7, document storage 106 provides and comprises at least one by whole for all for native system all data of platform
The knowledge base of the data structure associated.Offer comprises at least one can file specified format file by version through configuration
Document library.There is provided the database call interface comprising at least complete set, for the harvester 100 of single document, single literary composition
Between the mark of shelves and associated apparatus 102, document, graph of a relation sets up device 104, on-demand use.There is provided and comprise at least complete set
Document library calling interface, be used for filing for the harvester 100 of single document, the mark of single document and associated apparatus 102 and
Update specified format file.
The data synchronization mechanism comprising at least complete set is provided, and calls data switch engine to make appropriate data energy
Enough circulate between the two at document classification storage tube platform, document library platform in time.
Document classification storage tube platform server 10 carries out data by interface routine and document library Platform Server 12
Mutual transmission, part realizes referring to Fig. 7.It is written to document library by needing the data sent by the way of far-end writes
Platform signal to be synchronized table and relevant interim table, then carried out relevant subsequent process by the interface routine of document library platform.Simultaneously it
Also by according to also actively capturing treating return path signal table and synchronizing the data in interim table in document library platform.
Operate when performing various issue on document classification storage tube platform server 10, include but are not limited to: close
Keyword is issued, single document is issued, between document during graph of a relation issue etc., first signal to be synchronized is written to interim table, in order to
The interface routine circulation execution cycle carries out follow-up relevant treatment when starting.
Dispatch timer on document classification storage tube platform server 10, according to set time step vector,
Timing cycle performs interface routine, once because interface routine does not completes data transmission work in a time step vector,
Or because the situations such as abnormal occurs in interface routine, possess the function of intelligent restoration.
Document library Platform Server 12 obtains document classification storage management storehouse Platform Server 10 by interface routine and passes
The data passed, part realizes referring to Fig. 6.Interface routine according to document classification storage tube platform server 10 is actively
The signal table to be synchronized being pushed to this platform and the related data synchronizing interim table are updated place to the data of target database
Reason.Simultaneously for including but are not limited to by this platform: after the produced data of the operation such as user behavior information capture
And write treat return path signal table and synchronize interim table, in order to the interface routine of document classification storage tube platform carries out follow-up place
Reason.
When document library Platform Server 12 receives between document the data such as graph of a relation by interface routine, can trigger in full
The function of index rebuild by search engine.
Fig. 8 shows the structure of another embodiment of the system of the present invention.The system of the present embodiment is except the reality shown in Fig. 1
Execute outside document classification storage tube platform server and the document library Platform Server of example, further comprises document textual research and explain collection and put down
Station server, this server and document classification storage tube platform server, client access device all have alternately.Figure 10 illustrates
The refinement structure of document textual research and explain acquisition platform server, document textual research and explain acquisition platform server includes document textual research and explain harvester
160, data acquisition examination & verification device 162, document textual research and explain storage device 164.And the module identical with Fig. 1 embodiment is the most superfluous at this
State.
Document textual research and explain harvester 160 gathers the input data that document is explained that content is relevant by user.Data acquisition is examined
The input data collected are audited by nuclear device 162.In document textual research and explain storage device 164 will be explained by the document of examination & verification
The input data that appearance is relevant join in corresponding original text and store.
Fig. 9 shows the operational process of system.The displaying of document library platform derives from two aspects, is on the one hand and Fig. 1 implements
Index, relation are set up in various dimensions key definition and maintenance, up-to-date document collection, document arrangement and various dimensions definition that example is identical
Figure is set up and safeguards；On the other hand it is document textual research and explain collection, document textual research and explain examination & verification and the setting of corresponding relation.
It should be noted that in the present invention, can document collected, that define, associate, search for and represent include but not
Be limited to paper, teaching material, historical document, laws and regulations, training courseware, news and bulletin etc., include but not limited to word, audio frequency,
The multimedia medium such as video, webpage, include but not limited to a certain particular professional field knowledge (can be natural science knowledge,
Can also be social science knowledge), it is also not necessarily limited to Chinese or other word.
Additionally, such scheme concrete implementation mode also includes the service architecture system built based on cloud, such as portion
It is deployed on the services such as the data query in high in the clouds, program renewal and file renewal process.
Above embodiment is all based on what online document described, after the such scheme of the present invention also can be modified slightly
It is applied to unit document.System is (computer that such as unit mode is run, hand-held to set in single device in the way of uniprocessor version
Standby etc.) upper operation.Uniprocessor version system includes: between the harvester of single document, the mark of single document and associated apparatus, document
Graph of a relation sets up device, document storage, uniprocessor version packing and issuing device and client erecting device.
The harvester of single document for carrying out the document of required management type collecting, initial processing and system lead
Enter.The harvester of single document farther includes: form collator module, classification information identification module, file import module.Lattice
Document is organized into the form specified by formula sorting module.Classification information identification module linking format sorting module, by formatted file
Add preliminary classification message identification on request.File imports module link sort information identification module, will with the addition of classification letter
The formatted file of breath mark imports in system.
Default technical term is classified by mark and the associated apparatus of single document according to different dimensions and level
And definition, set up and safeguard the lists of keywords of corresponding professional field, single document is carried out according to different attributes and level
Definition, arranges several document element in single document, document element carries out the system banner of several key words, definition
Issuable logical relation list between the single document of any two or document element, and by the logical relation kind set
Class realizes the association of the logical relation between two single documents and arranges.Mark and the associated apparatus of single document wrap further
Include: key word dimension set module, key definition module, document classification setting module, document snippet setting module.Key word
The dimension of key word is set by dimension set module.Key definition module connects key word dimension set module, to pass
Key word corresponding to each dimension of keyword is defined.Single document is classified by document classification setting module according to key word
Set.Document snippet setting module carries out classification according to key word to each document snippet of document and sets.Additionally, single document
Mark and associated apparatus also include: document element arranges module, document element mark module, logic association module.Document element
Module is set the document snippet with same keyword mark of single document is combined as several document element.Document element
Mark module carries out the system banner of several key words to document element.The single document of logic association module definition any two
Between issuable logical relation list, by the logical relation kind set realize in system two single documents or
The association of the logical relation between person's document element.
Between document, graph of a relation is set up device and is defined graph of a relation between document, to each ingredient of graph of a relation between document
Between relation be defined.Between document, graph of a relation is set up device and is farther included: key word name graph of a relation between module, document
Generation module.Graph of a relation between arbitrary concrete document is named by key word name module by specific one group of key word.
Between document, graph of a relation generation module generates graph of a relation between document, including in graph of a relation between document by the certain logic between document element
The pattern identification of logical relation between the representing of a series of document unit of relation arrangement, document element, single document element
Represent.
Document storage closes according between harvester, the mark of single document and associated apparatus, the document of single document
Be figure set up device call in the data base that relevant information is stored single device, the formatted file specified is filed list
In the data base of platform equipment.
Uniprocessor version packing and issuing device is by specified format after the data finally preserved by document storage and filing
File be packaged into complete issue parcel, and generate distributing device program targetedly according to the difference of target platform
Executable file and supporting ancillary documents.
Client erecting device, by performing the executable of distributing device, wraps up complete being deployed into by issuing
In single device, including: the file of specified format after the data finally preserved by document storage and filing.
System also includes that document textual research and explain acquisition subsystem, document textual research and explain acquisition subsystem include: document textual research and explain harvester,
Data acquisition examination & verification device, document textual research and explain storage device.Document textual research and explain harvester gathers user's explanation content phase to document
The input data closed.The input data collected are audited by data acquisition examination & verification device.Document textual research and explain storage device will be logical
The document crossing examination & verification explains that the input data link that content is relevant stores in graph of a relation between corresponding document or document.
In the embodiment of uniprocessor version, the logical relation between document includes but not limited to derived relation, parallel relation or closes
System and relation, inclusion relation, revision relation, covering relation, the logical relation of uncertainty relation, patrolling between each of which document
Collect unique icon in relation correspondence system.Document includes but not limited to paper, teaching material, historical document, laws and regulations, training session
Part, news and bulletin, include but not limited to the multimedia medium of word, audio frequency, video, webpage.
Above-described embodiment is available to those of ordinary skill in the art and realizes and use the present invention, the common skill in this area
Above-described embodiment can be made various modifications or change by art personnel without departing from the present invention in the case of the inventive idea, thus
Protection scope of the present invention is not limited by above-described embodiment, and should be to meet the inventive features that claims are previously mentioned
Maximum magnitude.
Claims (18)
1. the collection of document, the system that identifies and associate, including document classification storage tube platform server and document library
Platform Server, wherein document classification storage tube platform server includes the harvester of single document, the mark of single document
Knowing and between associated apparatus and document, graph of a relation sets up device, the host node of document storage is deployed in document classification storage tube
On platform server, the image release of the host node of document storage is deployed on document library Platform Server, wherein:
The harvester of single document, for carrying out the document of required management type collecting, initial processing and system introducing；
The mark of single document and associated apparatus, classify to default technical term according to different dimensions and level and determine
Justice, sets up and safeguards the lists of keywords of corresponding professional field, be defined single document according to different attributes and level,
Arranging several document element in single document, document element carries out the system banner of several key words, definition is arbitrarily
Issuable logical relation list between two single documents or document element, and the logical relation kind passing through to have set is real
The association of the logical relation between existing two single documents is arranged；
Between document, graph of a relation sets up device, is defined graph of a relation between document, to each ingredient of graph of a relation between document it
Between relation be defined；
Document storage, according to graph of a relation between harvester, the mark of single document and associated apparatus, the document of single document
That sets up device calls in the data base that relevant information stores document classification storage tube platform server, the lattice that will specify
Formula archive is in document library Platform Server, and related data information is stored at document classification by data switch engine
Data are transmitted between management Platform Server and document library Platform Server.
The collection of document the most according to claim 1, the system identifying and associating, it is characterised in that adopting of single document
Acquisition means farther includes:
Form collator module, is organized into the form specified by document；
Classification information identification module, linking format sorting module, formatted file is added on request preliminary classification message identification；
File import module, link sort information identification module, by with the addition of classification message identification formatted file import to be
In system.
The collection of document the most according to claim 2, the system identifying and associating, it is characterised in that the mark of single document
Know and associated apparatus farther include:
Key word dimension set module, is set the dimension of key word；
Key definition module, connects key word dimension set module, and the key word corresponding to dimension each to key word carries out fixed
Justice；
Document classification setting module, carries out classification according to key word to single document and sets；
Document snippet setting module, carries out classification according to key word to each document snippet of document and sets.
The collection of document the most according to claim 3, the system identifying and associating, it is characterised in that the mark of single document
Know and associated apparatus also include:
Document element arranges module, and the document snippet with same keyword mark of single document is combined as several documents
Unit；
Document element mark module, carries out the system banner of several key words to document element；
Logic association module, issuable logical relation list between the definition single document of any two, by set
Logical relation kind realizes the association of the logical relation between two single documents or document element in system.
The collection of document the most according to claim 4, the system identifying and associating, it is characterised in that graph of a relation between document
Set up device to farther include:
Key word name module, is named by specific one group of key word graph of a relation between arbitrary concrete document；
Graph of a relation generation module between document, generates graph of a relation between document, including in graph of a relation between document by the spy between document element
Determine the pattern identification of logical relation between the representing of a series of document unit of logical relation arrangement, document element, single literary composition
Representing of shelves unit.
The collection of document the most according to claim 5, the system identifying and associating, it is characterised in that document storage
Farther include:
Relational DBMS, is used for setting up document classification storage tube platform；
Document base management system, is used for setting up document library platform；
Write operation module, calls the write operation performing data base to each device；
Preserve operation module, each device is called files function and preserves graph of a relation between corresponding single document files or document
File；
Platform data transport module, by data switch engine by related data at document classification storage tube platform server and
Transmit between document library Platform Server.
The collection of document the most according to claim 1, the system identifying and associating, it is characterised in that system also includes literary composition
Shelves textual research and explain acquisition platform server, including:
Document textual research and explain harvester, gathers the input data that document is explained that content is relevant by user；
The input data collected are audited by data acquisition examination & verification device；
Document textual research and explain storage device, by by the document of examination & verification explain input data link that content is relevant to corresponding document or
Between document, graph of a relation stores.
The collection of document the most according to claim 1, the system identifying and associating, it is characterised in that the logic between document
Relation includes but not limited to derived relation, parallel relation or relation and relation, inclusion relation, revision relation, covering relation, no
Determine the logical relation of relation, unique icon in the logical relation correspondence system between each of which document.
The collection of document the most according to claim 1, the system identifying and associating, it is characterised in that concrete implementation side
Formula also includes the service architecture system built based on cloud, it is achieved include but not limited to that the data query in high in the clouds, program update
And the service that file renewal processes.
The collection of document the most according to claim 1, the system identifying and associating, it is characterised in that document include but not
It is limited to paper, teaching material, historical document, laws and regulations, training courseware, news and bulletin, includes but not limited to word, audio frequency, regard
Frequently, the multimedia medium of webpage.
The collection of 11. 1 kinds of documents, the system identifying and associating, run in the way of uniprocessor version in single device, including:
The harvester of single document, for carrying out the document of required management type collecting, initial processing and system introducing；
The mark of single document and associated apparatus, classify to default technical term according to different dimensions and level and determine
Justice, sets up and safeguards the lists of keywords of corresponding professional field, be defined single document according to different attributes and level,
Arranging several document element in single document, document element carries out the system banner of several key words, definition is arbitrarily
Issuable logical relation list between two single documents or document element, and the logical relation kind passing through to have set is real
The association of the logical relation between existing two single documents is arranged；
Between document, graph of a relation sets up device, is defined graph of a relation between document, to each ingredient of graph of a relation between document it
Between relation be defined；
Document storage, according to graph of a relation between harvester, the mark of single document and associated apparatus, the document of single document
That sets up device calls in the data base that relevant information stores single device, the formatted file specified is filed separate unit and sets
In standby data base；
Uniprocessor version packing and issuing device, by the literary composition of specified format after the data finally preserved by document storage and filing
Part is packaged into complete issue parcel, and generates distributing device program targetedly according to the difference of target platform and can hold
Style of writing part and supporting ancillary documents；
Client erecting device, by performing the executable of distributing device, is deployed into list by complete for issue parcel
On platform equipment, including: the file of specified format after the data finally preserved by document storage and filing.
The collection of 12. documents according to claim 11, the system identifying and associating, it is characterised in that single document
Harvester farther includes:
Form collator module, is organized into the form specified by document；
Classification information identification module, linking format sorting module, formatted file is added on request preliminary classification message identification；
File import module, link sort information identification module, by with the addition of classification message identification formatted file import to be
In system.
The collection of 13. documents according to claim 12, the system identifying and associating, it is characterised in that single document
Mark and associated apparatus farther include:
Key word dimension set module, is set the dimension of key word；
Key definition module, connects key word dimension set module, and the key word corresponding to dimension each to key word carries out fixed
Justice；
Document classification setting module, carries out classification according to key word to single document and sets；
Document snippet setting module, carries out classification according to key word to each document snippet of document and sets.
The collection of 14. documents according to claim 13, the system identifying and associating, it is characterised in that single document
Mark and associated apparatus also include:
Document element arranges module, and the document snippet with same keyword mark of single document is combined as several documents
Unit；
Document element mark module, carries out the system banner of several key words to document element；
Logic association module, issuable logical relation list between the definition single document of any two, by set
Logical relation kind realizes the association of the logical relation between two single documents or document element in system.
The collection of 15. documents according to claim 14, the system identifying and associating, it is characterised in that relation between document
Figure is set up device and is farther included:
Key word name module, is named by specific one group of key word graph of a relation between arbitrary concrete document；
Graph of a relation generation module between document, generates graph of a relation between document, including in graph of a relation between document by the spy between document element
Determine the pattern identification of logical relation between the representing of a series of document unit of logical relation arrangement, document element, single literary composition
Representing of shelves unit.
The collection of 16. documents according to claim 11, the system identifying and associating, it is characterised in that system also includes
Document textual research and explain acquisition subsystem, including:
Document textual research and explain harvester, gathers the input data that document is explained that content is relevant by user；
The input data collected are audited by data acquisition examination & verification device；
Document textual research and explain storage device, by by the document of examination & verification explain input data link that content is relevant to corresponding document or
Between document, graph of a relation stores.
The collection of 17. documents according to claim 11, the system identifying and associating, it is characterised in that patrolling between document
Volume relation include but not limited to derived relation, parallel relation or relation and relation, inclusion relation, revision relation, covering relation,
The logical relation of uncertainty relation, unique icon in the logical relation correspondence system between each of which document.
The collection of 18. documents according to claim 11, the system identifying and associating, it is characterised in that document include but
Be not limited to paper, teaching material, historical document, laws and regulations, training courseware, news and bulletin, include but not limited to word, audio frequency,
Video, the multimedia medium of webpage.
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| CN105095320B (en) * | 2014-05-23 | 2019-04-19 | 邓寅生 | The mark of document based on relationship stack combinations, association, the system searched for and showed |
| CN104765828B (en) * | 2015-04-13 | 2018-06-19 | 天脉聚源(北京)传媒科技有限公司 | A kind of generation of dictionary data table and application process and device |
| CN104765831B (en) * | 2015-04-13 | 2018-06-19 | 天脉聚源(北京)传媒科技有限公司 | A kind of generation of dictionary sheet and its application process and device |
| CN104765830B (en) * | 2015-04-13 | 2018-11-20 | 天脉聚源(北京)传媒科技有限公司 | A kind of information search method and device |
| CN104765833B (en) * | 2015-04-13 | 2018-06-19 | 天脉聚源(北京)传媒科技有限公司 | A kind of generation method and device of word association table |
| CN106469214B (en) * | 2016-09-06 | 2019-10-15 | 北京百度网讯科技有限公司 | Information demonstrating method and device based on artificial intelligence |
| CN109101512B (en) * | 2017-06-21 | 2021-05-28 | 北京国双科技有限公司 | Construction method of legal database, legal data query method and device |
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