CN110232080A - A kind of method for quickly retrieving based on block chain - Google Patents
A kind of method for quickly retrieving based on block chain Download PDFInfo
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- CN110232080A CN110232080A CN201910434876.XA CN201910434876A CN110232080A CN 110232080 A CN110232080 A CN 110232080A CN 201910434876 A CN201910434876 A CN 201910434876A CN 110232080 A CN110232080 A CN 110232080A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2471—Distributed queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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Abstract
The invention discloses a kind of method for quickly retrieving based on block chain;Method includes the following steps: the data base administration model based on block chain technology verifies design, data base administration model is applied to electronic records filing and enters the electronic record stage after database, data base administration model index design based on block chain technology, different according to field divide Primary database in multiple second databases, and the target domain information is field corresponding to target data block;The lookup of target database is carried out by keyword in the target second databases, determine the target data block, non-targeted data block can be excluded, to greatly save retrieval time, the data base administration model of block chain technology completes the interaction between block chain and polymorphic type electronic file management system using Profile Agent, a possibility that ensure that the stability of electronic records management mode makes files department realize the management more refined, reducing unauthorized access.
Description
Technical field
The present invention relates to field of information processing, specifically a kind of method for quickly retrieving based on block chain.
Background technique
Block chain is that Distributed Storage, point-to-point transmission, common recognition mechanism, the novel of Encryption Algorithm computer technology answer
Use mode.Block chain (Blockchain), is a key concept of bit coin, it is substantially the data of a decentralization
Library, while the Floor layer Technology as bit coin are a string using the associated data block generated of cryptography method, each data
The information of a batch bit coin network trading is contained in block, for verifying the validity (anti-fake) of its information and generating next
Block.
At present in the data block retrieving for block chain, user is examined by way of inputting keyword
Rope, but since same keyword can cover multiple fields, it will lead to a large amount of non-targeted data blocks in this way and occur, need one by one
It is excluded, this exclusion process can waste a large amount of time, seriously affect recall precision.
Summary of the invention
The purpose of the present invention is to provide a kind of method for quickly retrieving based on block chain, to solve the above problems.
To achieve the above object, the invention provides the following technical scheme:
A kind of method for quickly retrieving based on block chain, comprising the following steps:
Data base administration model based on block chain technology verifies design, data base administration model be applied to electronic records filing into
The electronic record stage after entering database;
1) preparation before filing, in electronic document formation stages, when file former creates or receives a electronic document,
Security deadline and utilization scope are set according to file content;
2) electronic record relevant information storage, electronic records filing enter with electronic records management module operation system,
When electronic document management system, storage agent will read the content and metadata of electronic record;
3) retrieval and verifying of electronic record is burrowed into archives catalogue by network, inquiry system channel, obtains required electronic record
Shelves number, then to each electronic records management unit provide shelves number, propose retrieval request;
4) retrospect and recovery of untrue electronic record is stored in each on block chain according to database journal and the electronic record
Colophon judges the reason of archives variation, and elimination technique failure or retrospect are intended to illegally obtain, distort the station address of archives
And the time;
5) the retrieval verifying after electronic record is transferred and transferred, file formation mechanism need to transfer unit Profile Agent keeping simultaneously
Key;
Data base administration model index design based on block chain technology, different according to field divide Primary database in more
A second databases;
1) keyword is received, Primary database is generated according to the keyword;
2) data block in Primary database is analyzed, different according to field divide Primary database in multiple second levels
Database;
3) label is added for multiple second databases, the label includes the number of data block in the corresponding second databases
Measure information and realm information;
4) realm information of multiple second databases is matched with target domain information, excludes what it fails to match
The second databases, obtain target second databases, and the target domain information is field corresponding to target data block;
5) lookup for carrying out target database by keyword in the target second databases, determines the target data
Block.
In further embodiment: the reception keyword, generating Primary database according to the keyword includes:
It obtains keyword and analyzes it, obtain multiple corresponding association keywords;
The keyword and multiple association keywords are parsed respectively, obtain the corresponding lineal Primary database of the keyword
The corresponding collateral line Primary database of keyword is associated with described;
The lineal Primary database is merged with collateral line Primary database, obtains Primary database.
In further embodiment: the acquisition keyword simultaneously analyzes it, and obtains corresponding association keyword packet
It includes:
Keyword is expressed in multilingual mode, obtains original language keyword and multiple non-source language keywords;
The corresponding multiple first association keywords of original language keyword are obtained respectively and multiple non-source language keywords are corresponding
It is multiple second association keywords;
Merge multiple first association keywords and be associated with keyword with multiple described second, obtains association keyword.
In further embodiment: the exclusion second databases that it fails to match include:
History retrieval record is transferred, statistics field excludes number, when a certain field, which excludes number, is more than preset value, is classified as
It is preferential to exclude item;
Confirmation becomes the preferential field for excluding item, and when confirming result is that confirmation excludes, it is corresponding to exclude the preferential field for excluding item
Second databases;
Carry out the exclusion of remaining second databases.
In further embodiment: the preset value includes the first preset value and the second preset value, first preset value
With the second preset value be integer greater than zero and the first preset value is greater than the second preset value;It is greater than when a certain field excludes number
When the first preset value, be classified as first it is preferred exclude item, when a certain field exclude number be greater than the second preset value and less than the
When one preset value, it is classified as the second preferred exclusion item;It is marked as the first preferential field for excluding item when being confirmed
Note is handled so that its priority, which is higher than second, preferably excludes the corresponding field of item.
In further embodiment: described to carry out target database by keyword in the target second databases
It searches, determines that the target data block includes:
Multiple data blocks to be selected are ranked up according to the height of the match index, given threshold, the threshold value is big
The integer of Yu Yuyi chooses at least one corresponding data block to be selected according to threshold value;
At least one described data block to be selected is checked and approved, when checking and approving result is to check and approve successfully, determines corresponding number to be selected
It is target data block according to block, when checking and approving result is to check and approve failure, abandons current data block to be selected, redefine threshold value then
It checks and approves again.
In further embodiment: when checking and approving result is to check and approve failure, sending a warning.
Compared to the prior art, beneficial effects of the present invention are as follows:
1, the present invention generates Primary database according to the keyword by receiving keyword;To the data in Primary database
Block is analyzed, and different according to field divide Primary database in multiple second databases;For multiple secondary datas
Library adds label, and the label includes the quantity information and realm information of data block in the corresponding second databases;It will be more
The realm information of a second databases is matched with target domain information, excludes two series that it fails to match
According to library, target second databases are obtained, the target domain information is field corresponding to target data block;In the target two
The lookup for carrying out target database in grade database by keyword, determines the target data block, can be to non-targeted data
Block is excluded, to greatly save retrieval time, improves recall precision.
2, the data base administration model of block chain technology completes block chain and polymorphic type electronic record pipe using Profile Agent
Interaction between reason system ensure that the stability of electronic records management mode.Pass through isolation block chain and polymorphic type electronic record
Management system, block chain do not destroy current all pairs of electronics shelves while safeguarding that electronic record is true, complete, available, safe
The management and safeguard measure of case.
3, efficient administration, the data base administration model of block chain technology flexibly with the efficiency of management can be improved, are realized
Automation, the fine-grained management of electronic record.It can expire decrypts concerning security matters archives, automatic audit concerning security matters File use power automatically
Limit makes files department realize the management more refined.
4, model safety, data of the data base administration model of block chain technology in content level, block chain can not
It is tampered, all changes of the electronic record during preservation all can be by retrospect and proper restoration;In structural level, block chain data
Distributed storage make the failure of a small amount of node be difficult to influence the safety of entire block chain;In access level, block chain technology
The encryption mechanism a possibility that node of not association key is kept outside of the door, reduces unauthorized access.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for quickly retrieving based on block chain.
Fig. 2 is that the data base administration model based on block chain technology verifies design cycle schematic diagram.
Fig. 3 is the data base administration model index design cycle schematic diagram based on block chain technology.
Fig. 4 is the structural schematic diagram of the quick retrieval system based on block chain.
Specific embodiment
Following embodiment can be described in detail the present invention in conjunction with attached drawing.Each embodiment cited by the present invention is only to illustrate
The present invention is not used to limit the scope of the present invention.Any modification apparent easy to know or change made for the present invention do not take off
From spirit and scope of the invention.
Embodiment 1
Please refer to Fig. 1-3, in the embodiment of the present invention, a kind of method for quickly retrieving based on block chain, comprising the following steps:
Data base administration model based on block chain technology verifies design, data base administration model be applied to electronic records filing into
The electronic record stage after entering database;
Preparation before S1 files, in electronic document formation stages, when file former creates or receives a electronic document,
Security deadline and utilization scope are set according to file content;
The relevant information of S2 electronic record stores, electronic records filing enter operation system with electronic records management module,
When electronic document management system, storage agent will read the content and metadata of electronic record;
The retrieval and verifying of S3 electronic record are burrowed into archives catalogue by network, inquiry system channel, obtain required electronic record
Shelves number, then to each electronic records management unit provide shelves number, propose retrieval request;
The retrospect and recovery of the untrue electronic record of S4 are stored in each on block chain according to database journal and the electronic record
Colophon judges the reason of archives variation, and elimination technique failure or retrospect are intended to illegally obtain, distort the station address of archives
And the time;
Retrieval after S5 electronic record is transferred and transferred is verified, and file formation mechanism need to transfer unit Profile Agent keeping simultaneously
Key;
Data base administration model index design based on block chain technology, different according to field divide Primary database in more
A second databases;
S10 receives keyword, generates Primary database according to the keyword;
S20 analyzes the data block in Primary database, and different according to field divide Primary database in multiple two
Grade database;
S30 is that multiple second databases add label, and the label includes data block in the corresponding second databases
Quantity information and realm information;
S40 matches the realm information of multiple second databases with target domain information, and it fails to match for exclusion
The second databases, obtain target second databases, the target domain information is field corresponding to target data block;
S50 carries out the lookup of target database in the target second databases by keyword, determines the target data
Block.
Embodiment 2
Referring to Fig. 3, in the embodiment of the present invention, a kind of method for quickly retrieving based on block chain, comprising the following steps:
S10 receives keyword, generates Primary database according to the keyword.
Further, the step S10 includes:
S101 obtains keyword and analyzes it, obtains multiple corresponding association keywords;
S102 parses the keyword and multiple association keywords respectively, obtains the corresponding lineal level-one of the keyword
Database is associated with the corresponding collateral line Primary database of keyword with described;
The lineal Primary database is merged with collateral line Primary database, obtains Primary database by S103.
S20 analyzes the data block in Primary database, and different according to field divide Primary database in more
A second databases.
S30 adds label for multiple second databases, and the label includes data in the corresponding second databases
The realm information of block.
Further, the label further includes the quantity information of data block in the corresponding second databases
S40 matches the realm information of multiple second databases with target domain information, and it fails to match for exclusion
The second databases, obtain target second databases, the target domain information is field corresponding to target data block.
Further, the exclusion second databases that it fails to match include:
S401 transfers history retrieval record, and statistics field excludes number, will when a certain field, which excludes number, is more than preset value
It is classified as preferential exclusion item;
S402, confirmation become the preferential field for excluding item, when confirming result is that confirmation excludes, exclude the preferential field for excluding item
Corresponding second databases;
S403 carries out the exclusion of remaining second databases.
Further, the preset value includes the first preset value and the second preset value, first preset value and second
Preset value is the integer greater than zero and the first preset value is greater than the second preset value;It is greater than first in advance when a certain field excludes number
If being classified as the first preferred exclusion item, exclusion number is default less than first greater than the second preset value when a certain field when value
When value, it is classified as the second preferred exclusion item;Processing is marked when being confirmed as the first preferential field for excluding item
So that its priority, which is higher than second, preferably excludes the corresponding field of item.
S50 carries out the lookup of target database by keyword in the target second databases, determines the target
Data block.
Further, the step S50 includes:
S501 parses the data block to be selected in target database, calculates of the multiple data blocks to be selected and the keyword
With index;
S502 is ranked up multiple data blocks to be selected according to the height of the match index, given threshold, the threshold value
To choose at least one corresponding data block to be selected according to threshold value greater than in one integer;
S503 checks and approves at least one described data block to be selected, when check and approve result be check and approve successfully when, determine it is corresponding to
Selecting data block is target data block, when checking and approving result is to check and approve failure, abandons current data block to be selected, redefines threshold value
Then it checks and approves again.
Further, further includes:
S504 sends a warning when checking and approving result is to check and approve failure.
Embodiment 3
Referring to Fig. 3, in the embodiment of the present invention, a kind of method for quickly retrieving based on block chain, comprising the following steps:
S10 receives keyword, generates Primary database according to the keyword.
Further, the step S10 includes:
S101 obtains keyword and analyzes it, obtains multiple corresponding association keywords;
S102 parses the keyword and multiple association keywords respectively, obtains the corresponding lineal level-one of the keyword
Database is associated with the corresponding collateral line Primary database of keyword with described;
The lineal Primary database is merged with collateral line Primary database, obtains Primary database by S103.
S20 analyzes the data block in Primary database, and different according to field divide Primary database in more
A second databases.
S30 adds label for multiple second databases, and the label includes data in the corresponding second databases
The quantity information and realm information of block.
S40 matches the realm information of multiple second databases with target domain information, excludes matching
The second databases of failure, obtain target second databases, and the target domain information is corresponding to target data block
Field.
Further, the exclusion second databases that it fails to match include:
S401 transfers history retrieval record, and statistics field excludes number, will when a certain field, which excludes number, is more than preset value
It is classified as preferential exclusion item;
S402, confirmation become the preferential field for excluding item, when confirming result is that confirmation excludes, exclude the preferential field for excluding item
Corresponding second databases;
S403 carries out the exclusion of remaining second databases.
Further, the preset value includes the first preset value and the second preset value, first preset value and second
Preset value is the integer greater than zero and the first preset value is greater than the second preset value;It is greater than first in advance when a certain field excludes number
If being classified as the first preferred exclusion item, exclusion number is default less than first greater than the second preset value when a certain field when value
When value, it is classified as the second preferred exclusion item;Processing is marked when being confirmed as the first preferential field for excluding item
So that its priority, which is higher than second, preferably excludes the corresponding field of item.
S50 carries out the lookup of target database by keyword in the target second databases, determines the target
Data block.
Further, the step S50 includes:
S501 parses the data block to be selected in target database, calculates of the multiple data blocks to be selected and the keyword
With index;
S502 is ranked up multiple data blocks to be selected according to the height of the match index, given threshold, the threshold value
To choose at least one corresponding data block to be selected according to threshold value greater than in one integer;
S503 checks and approves at least one described data block to be selected, when check and approve result be check and approve successfully when, determine it is corresponding to
Selecting data block is target data block, when checking and approving result is to check and approve failure, abandons current data block to be selected, redefines threshold value
Then it checks and approves again.
Further, further includes:
S504 sends a warning when checking and approving result is to check and approve failure.
The present invention in the specific implementation process, is also described in detail step S101, specific as follows:
Further, the step S101 includes:
S1011 expresses keyword in multilingual mode, obtains original language keyword and multiple non-source language are crucial
Word;
S1012, obtains the corresponding multiple first association keywords of original language keyword respectively and multiple non-source language are crucial
The corresponding multiple second association keywords of word;
S1013 merges multiple first association keywords with multiple described second and is associated with keyword, obtains association keyword.
Embodiment 4
Referring to Fig. 4, a kind of quick retrieval system based on block chain, the system is based on embodiment 1 in the embodiment of the present invention
What the method was designed, comprising:
Generation module generates Primary database according to the keyword for receiving keyword.
Divide module, for analyzing the data block in Primary database, according to the different by level one data of field
Library segmentation is in multiple second databases.
Labeling module, for adding label for multiple second databases, the label includes corresponding two series
According to the quantity information and realm information of data block in library.
Module is excluded, for carrying out the realm information of multiple second databases and target domain information
Match, exclude the second databases that it fails to match, obtain target second databases, the target domain information is target data
Field corresponding to block.
Determining module, for relying on keyword to carry out the lookup of target database in the target second databases, really
The fixed target data block.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that by all changes in the meaning and scope for the same important document for falling in claim
Change is included within the present invention.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (7)
1. a kind of method for quickly retrieving based on block chain, which comprises the following steps:
Data base administration model based on block chain technology verifies design, data base administration model be applied to electronic records filing into
The electronic record stage after entering database;
Preparation before filing, in electronic document formation stages, when file former creates or receives a electronic document, root
Security deadline and utilization scope are set according to file content;
The relevant information of electronic record stores, and electronic records filing enters the operation system with electronic records management module, electricity
When sub-file management system, storage agent will read the content and metadata of electronic record;
The retrieval and verifying of electronic record are burrowed into archives catalogue by network, inquiry system channel, obtain required electronic record
Shelves number, then shelves number are provided to each electronic records management unit, propose retrieval request;
The retrospect and recovery of untrue electronic record, each version being stored according to database journal and the electronic record on block chain
This record judge archives variation the reason of, elimination technique failure or retrospect be intended to illegally obtain, distort archives station address and
Time;
Retrieval after electronic record is transferred and transferred is verified, and file formation mechanism need to transfer unit Profile Agent keeping simultaneously
Key;
Data base administration model index design based on block chain technology, different according to field divide Primary database in more
A second databases;
Keyword is received, Primary database is generated according to the keyword;
Data block in Primary database is analyzed, different according to field divide Primary database in multiple two series
According to library;
Label is added for multiple second databases, the label includes the quantity of data block in the corresponding second databases
Information and realm information;
The realm information of multiple second databases is matched with target domain information, excludes the institute that it fails to match
Second databases are stated, target second databases are obtained, the target domain information is field corresponding to target data block;
The lookup for carrying out target database by keyword in the target second databases, determines the target data block.
2. the method for quickly retrieving according to claim 1 based on block chain, which is characterized in that the reception keyword,
Generating Primary database according to the keyword includes:
It obtains keyword and analyzes it, obtain multiple corresponding association keywords;
The keyword and multiple association keywords are parsed respectively, obtain the corresponding lineal Primary database of the keyword
The corresponding collateral line Primary database of keyword is associated with described;
The lineal Primary database is merged with collateral line Primary database, obtains Primary database.
3. the method for quickly retrieving according to claim 2 based on block chain, which is characterized in that the acquisition keyword is simultaneously
It analyzes it, obtaining corresponding association keyword includes:
Keyword is expressed in multilingual mode, obtains original language keyword and multiple non-source language keywords;
The corresponding multiple first association keywords of original language keyword are obtained respectively and multiple non-source language keywords are corresponding
It is multiple second association keywords;
Merge multiple first association keywords and be associated with keyword with multiple described second, obtains association keyword.
4. the method for quickly retrieving according to claim 3 based on block chain, which is characterized in that it fails to match for the exclusion
The second databases include:
History retrieval record is transferred, statistics field excludes number, when a certain field, which excludes number, is more than preset value, is classified as
It is preferential to exclude item;
Confirmation becomes the preferential field for excluding item, and when confirming result is that confirmation excludes, it is corresponding to exclude the preferential field for excluding item
Second databases;
Carry out the exclusion of remaining second databases.
5. the method for quickly retrieving according to claim 4 based on block chain, which is characterized in that the preset value includes the
One preset value and the second preset value, first preset value and the second preset value be greater than zero integer and the first preset value it is big
In the second preset value;When a certain field, which excludes number, is greater than the first preset value, it is classified as the first preferred exclusion item, when a certain
Field excludes number and is greater than the second preset value when less than the first preset value, is classified as second and preferred excludes item;As first
The field for preferentially excluding item is marked when being confirmed to be handled so that its priority is corresponding higher than the second preferred exclusion item
Field.
6. the method for quickly retrieving according to claim 5 based on block chain, which is characterized in that described in the target two
The lookup for carrying out target database in grade database by keyword, determines that the target data block includes:
Multiple data blocks to be selected are ranked up according to the height of the match index, given threshold, the threshold value is big
The integer of Yu Yuyi chooses at least one corresponding data block to be selected according to threshold value;
At least one described data block to be selected is checked and approved, when checking and approving result is to check and approve successfully, determines corresponding number to be selected
It is target data block according to block, when checking and approving result is to check and approve failure, abandons current data block to be selected, redefine threshold value then
It checks and approves again.
7. the method for quickly retrieving according to claim 6 based on block chain, which is characterized in that further include:
When checking and approving result is to check and approve failure, send a warning.
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