CN107748792A - Data retrieval method and device, terminal - Google Patents
Data retrieval method and device, terminal Download PDFInfo
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- CN107748792A CN107748792A CN201711059897.5A CN201711059897A CN107748792A CN 107748792 A CN107748792 A CN 107748792A CN 201711059897 A CN201711059897 A CN 201711059897A CN 107748792 A CN107748792 A CN 107748792A
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- search condition
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/90335—Query processing
- G06F16/90348—Query processing by searching ordered data, e.g. alpha-numerically ordered data
Abstract
A kind of data retrieval method and device, terminal, data retrieval method include receiving the retrieval priority restrictions of party in request's input, and the retrieval priority restrictions include the multiple search conditions for possessing different priorities；The multiple supplier is ranked up according to the data that the multiple search condition and multiple suppliers provide, to obtain sorted order, the data that the multiple supplier provides possess default dimension classification and the classification of default label value, and the search condition includes the default dimension classification and the default label value classification；The inquiry request that party in request sends is received, the inquiry request identifies including main body；The data provided successively the multiple supplier according to the sorted order are retrieved, to obtain the data to match with main body mark.Data search efficiency is improved by technical solution of the present invention.
Description
Technical field
The present invention relates to data circulation technical field, more particularly to a kind of data retrieval method and device, terminal.
Background technology
As data turn into the important means of production, data are increasingly frequently got up across main body, inter-trade circulation.Data circulate
Technology gradually grows up in practice.
Prior art can accomplish to carry out synthetic polymeric, splicing and completion to data.
But the data-handling efficiency of prior art is relatively low.Especially for heterogeneous multi-source data, prior art
Method there is no to be automated regular.Cause the regular quality of multi-source data low, data access cost is high, and data retrieval is not clever enough
It is living.
The content of the invention
Present invention solves the technical problem that it is how to improve data search efficiency.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of data retrieval method, the data retrieval method
Including：The retrieval priority restrictions of party in request's input are received, the retrieval priority restrictions include possessing the more of different priorities
Individual search condition；The multiple supplier is arranged according to the data that the multiple search condition and multiple suppliers provide
Sequence, to obtain sorted order, the data that the multiple supplier provides possess default dimension classification and default label value point
Class, the search condition include the default dimension classification and the default label value classification；Receive what party in request sent
Inquiry request, the inquiry request identify including main body；The multiple supplier is provided successively according to the sorted order
Data are retrieved, to obtain the data to match with main body mark.
Optionally, the data provided according to the retrieval priority restrictions and multiple suppliers are entered to multiple suppliers
Row sequence includes：Receive the demand field of party in request's input；It is determined that provide the multiple supplier of the demand field；
The data and the matching of the multiple search condition provided according to the multiple supplier, and the multiple search condition
The order of priority is ranked up to the multiple supplier.
Optionally, the matching degree according to the data that the multiple supplier provides and the multiple search condition, with
And the order of the priority of the multiple search condition the multiple supplier is ranked up including：According to the multiple retrieval
The sequence of the priority of condition, the data that supplier is provided are matched with search condition, to obtain matching result；Root
The ordinal position of the supplier, institute are determined according to the priority of the search condition that supplier is matched described in the matching result
State that the priority for the search condition that supplier is matched is higher, the ordinal position of the supplier is more forward.
Optionally, the data provided successively the multiple supplier according to the sorted order carry out retrieval bag
Include：Main body mark and main body mark in the data provided according to the sorted order each supplier match,
And export the data for including the main body mark.
Optionally, the data retrieval method also includes：If getting the data to match with main body mark,
Stop retrieval；Or if reaching setting stop condition, stop retrieval.
Optionally, include before the retrieval priority restrictions for receiving party in request's input：The multiple supplier is carried
The source data of confession is standardized, and to obtain standardized data, the standardized data possesses the default dimension point
Class and the default label value classification.
Optionally, include before the retrieval priority restrictions for receiving party in request's input：Receive the multiple supplier
The standardized data of offer, the standardized data possess the default dimension classification and the default label value classification.
Optionally, also include before the retrieval priority restrictions for receiving party in request's input：To the standardized data
Semantic analysis is carried out, by the default dimension classification in the standardized data and default label value classifying and dividing to corresponding
Field.
The embodiment of the invention also discloses a kind of data searcher, data searcher includes：Retrieve priority restrictions
Receiving module, suitable for receiving the retrieval priority restrictions of party in request's input, the retrieval priority restrictions are different excellent including possessing
Multiple search conditions of first level；Order module, suitable for the data pair according to the multiple search condition and multiple suppliers offer
The multiple supplier is ranked up, and to obtain sorted order, the data that the multiple supplier provides possess default dimension
Classification and the classification of default label value, the search condition include the default dimension classification and the default label value point
Class；Inquiry request receiving module, the inquiry request sent suitable for receiving party in request, the inquiry request identify including main body；Inspection
Rope module, the data suitable for being provided successively the multiple supplier according to the sorted order are retrieved, with acquisition and institute
State the data that main body mark matches.
Optionally, the order module includes：Demand field receiving unit, suitable for receiving the demand of party in request's input
Field；Supplier's determining unit, it is adapted to determine that the multiple supplier that the demand field is provided；Sequencing unit, suitable for root
The data and the matching of the multiple search condition provided according to the multiple supplier, and the multiple search condition are excellent
The order of first level is ranked up to the multiple supplier.
Optionally, the sequencing unit includes：Coupling subelement, suitable for the priority according to the multiple search condition
Sequence, the data that supplier is provided are matched with search condition, to obtain matching result；Sort subelement, is suitable to
The priority for the search condition that supplier is matched determines the ordinal position of the supplier according to the matching result,
The priority for the search condition that the supplier is matched is higher, and the ordinal position of the supplier is more forward.
Optionally, the main body in the data that the retrieval module is provided each supplier according to the sorted order identifies
Matched with main body mark, and export the data for including the main body mark.
Optionally, the data searcher also includes：First stopping modular, suitable for getting and main body mark
During the data to match, stop retrieval；Second stopping modular, suitable for when reaching setting stop condition, stopping retrieval.
Optionally, the data searcher also includes：Pretreatment module, suitable for the source provided the multiple supplier
Data are standardized, and to obtain standardized data, the standardized data possesses the default dimension classification and institute
State default label value classification.
Optionally, the data searcher also includes：Standardized data receiving module, suitable for receiving the multiple supply
The standardized data just provided, the standardized data possess the default dimension classification and the default label value point
Class.
Optionally, the data searcher also includes：Data access module, suitable for carrying out language to the standardized data
Justice analysis, by the default dimension classification in the standardized data and default label value classifying and dividing to corresponding field.
The embodiment of the invention also discloses a kind of storage medium, is stored thereon with computer instruction, the computer instruction
The step of data retrieval method is performed during operation.
The embodiment of the invention also discloses a kind of terminal, including memory and processor, being stored with the memory can
The computer instruction run on the processor, the processor perform the data retrieval when running the computer instruction
The step of method.
Compared with prior art, the technical scheme of the embodiment of the present invention has the advantages that：
Technical solution of the present invention receives the retrieval priority restrictions of party in request's input, and the retrieval priority restrictions include tool
Multiple search conditions of standby different priorities；The data provided according to the multiple search condition and multiple suppliers are to described more
Individual supplier is ranked up, to obtain sorted order, data that the multiple supplier provides possess default dimension classification and
Default label value classification, the search condition include the default dimension classification and the default label value classification；Connect
The inquiry request that party in request sends is received, the inquiry request identifies including main body；According to the sorted order successively to described more
The data that individual supplier provides are retrieved, to obtain the data to match with main body mark.In technical solution of the present invention,
The data and the search condition provided due to multiple suppliers possess default dimension classification and the classification of default label value, because
This multiple search condition that can be directed to party in request is retrieved, and is avoided and is only capable of carrying out for data mapping in the prior art
Retrieval, improves recall precision；Further, it is also possible to supplier is ranked up using search condition, and it is suitable according to the retrieval
Sequence is retrieved, and the search strategy so as to just customize as desired carries out flexible route formula retrieval, reduces party in request
Data purchase cost, realize data retrieval flexibility；The requirement of priority can be retrieved with meet demand side so that party in request
Demand data is got, improves Consumer's Experience.
Further, it is possible to the source data provided the multiple supplier is standardized, to obtain normalized number
According to the standardized data possesses the default dimension classification and the default label value classification；Or receive described more
The standardized data that individual supplier provides, the standardized data possess the default dimension classification and the default label
Value classification.Technical solution of the present invention can realize that automatic fitration cleaning and automatic standardizing are regular for isomerism multi-source data,
So that the data that supplier provides reach unified in dimension, label, form of presentation etc., and then realize the flexible inspection of data
Rope.
Further, semantic analysis is carried out to the standardized data, by the default dimension in the standardized data point
Class and default label value classifying and dividing are to corresponding field.Technical solution of the present invention passes through the side of the Data Integration parsed automatically
Formula, realize that multi-source data single entry is accessed, cost of access can be reduced, improve access efficiency；Data circulation group can also be reduced
The workload for the side of knitting.
Brief description of the drawings
Fig. 1 is a kind of flow chart of data retrieval method of the embodiment of the present invention；
Fig. 2 is a kind of flow chart of embodiment of step S102 described in Fig. 1；
Fig. 3 is the partial process view of another kind data retrieval method of the embodiment of the present invention；
Fig. 4 is the contrast schematic diagram of a kind of source data of the embodiment of the present invention and standardized data；
Fig. 5 is the contrast schematic diagram of another kind of embodiment of the present invention source data and standardized data；
Fig. 6 is a kind of structural representation of data searcher of the embodiment of the present invention；
Fig. 7 is a kind of structural representation of embodiment of order module 602 shown in Fig. 6；
Fig. 8 is the structural representation of another kind data searcher of the embodiment of the present invention.
Embodiment
As described in the background art, the data-handling efficiency of prior art is relatively low.Especially for heterogeneous multi-source
Data, it is regular that prior art there is no method to be automated.Cause the regular quality of multi-source data low, data access cost is high, number
According to retrieval underaction.
In technical solution of the present invention, the data and the search condition that are provided due to multiple suppliers possess default dimension
Classification and the classification of default label value, therefore the multiple search conditions that can be directed to party in request are retrieved, and avoid existing skill
It is only capable of being retrieved for data mapping in art, improves recall precision；Further, it is also possible to using search condition to supplier
It is ranked up, and is retrieved according to the sorted order, the search strategy so as to just customize as desired carries out flexible
Route formula retrieval, reduce the data purchase cost of party in request, realize data retrieval flexibility；It can be examined with meet demand side
The requirement of rope priority so that party in request gets demand data, improves Consumer's Experience.
It is understandable to enable the above objects, features and advantages of the present invention to become apparent, below in conjunction with the accompanying drawings to the present invention
Specific embodiment be described in detail.
Fig. 1 is a kind of flow chart of data retrieval method of the embodiment of the present invention.
Data retrieval method may comprise steps of shown in Fig. 1：
Step S101：The retrieval priority restrictions of party in request's input are received, the retrieval priority restrictions include possessing not
Multiple search conditions of same priority；
Step S102：The multiple supplier is entered according to the data that the multiple search condition and multiple suppliers provide
Row sequence, to obtain sorted order；
Wherein, the data that the multiple supplier provides possess default dimension classification and the classification of default label value, institute
Stating search condition includes the default dimension classification and the default label value classification；
Step S103：The inquiry request that party in request sends is received, the inquiry request identifies including main body；
Step S104：The data provided successively the multiple supplier according to the sorted order are retrieved, to obtain
Obtain the data to match with main body mark.
Before data are retrieved, party in request can formulate retrieval priority restrictions according to demand, namely formulate multiple retrievals
Condition.Higher to the demand of search condition, the priority of the search condition is higher.It is excellent that party in request can input the retrieval constraint
First level.In step S101 specific implementation, the retrieval constraint priority is received.
Specifically, party in request can be on many levels such as rule constraint, budgetary restraints, quality constraint and performance constraints
To determine to retrieve priority restrictions.Wherein, rule constraint can include demonetizing object constraint and authorization constraint；Budget
Constraint can include unit price constraint, pricing mode constraint and single ID budgets threshold value constraint；Quality constraint can include quality lower bound
Constraint；Performance constraints can include delay constraints and concurrently constrain.It will be apparent to a skilled person that determine that retrieval is excellent
The mode of first level constraint is not limited to aforesaid way, and party in request can be according to the increase in demand strategy species of business development.
For example, party in request can determine that search condition is price constraints, price range or selection price can be selected excellent
First；Party in request can determine that search condition constrains for quality, and quality can be selected preferential；Party in request can determine that search condition is
Coverage rate constrains, and can select the high covering of general population preferentially or the high covering of designated area is preferential；Party in request can determine to retrieve
Condition specifies supplier or specified supplier's scope；Party in request can determine that search condition is time-constrain, can select most
It is near to update preferential or specified time scope；Party in request can determine that search condition constrains for pricing mode, can select to hit
Charge or inquiry charge.
Party in request can determine multiple search conditions according to the business demand of itself, and the progress of multiple search conditions is excellent
First level sequence.Further, for unsorted search condition, order set in advance is could be arranged to, comes gather sequence
Search condition after, be consequently formed complete retrieval priority restrictions.
In a specific embodiment of the invention, table 1 refer to.Table 1 shows a kind of retrieval priority restrictions of party in request.
Wherein, retrieval priority restrictions include six search conditions, are unit price constraint, single ID budgets threshold successively according to priority orders
It is worth constraint, quality constraint, concurrently delay constraints, constraint and pricing mode constraint.The retrieval priority restrictions show party in request
For the demand highest of unit price, in later retrieval, by the preferential data chosen the low supplier of unit price and provided.
Table 1
In specific implementation, multiple suppliers can provide party in request required data.In order to retrieve needed for party in request
The optimal data asked, in step S102 specific implementation, multiple suppliers can be ranked up.The resulting retrieval
Order is the order retrieved to multiple suppliers.
For example, for supplier A, B and C, the inquiry unit price of its data provided is followed successively by 0.2 yuan/time, 0.5 yuan/time
With 0.1 yuan/time.The search condition of party in request's highest priority is monovalent constraint.Obtained after so being sorted to supplier A, B and C
Sorted order be supplier C, supplier A and supplier B.
Further, supplier is more easily sorted in order to realize, the data that the multiple supplier provides
Possess the classification of default dimension and the classification of default label value, the search condition includes the default dimension classification and described
Default label value classification.That is, the data that multiple suppliers provide being capable of phase in data format with search condition
Match somebody with somebody, to avoid that data retrieval can not be carried out.For example, search condition includes dimension " unit price ", if the packet that supplier provides
Dimension " unit price " is included, then can realize data retrieval；If the dimension that the data that supplier provides include is " total price ", supply
The data just provided mismatch with search condition in data format, can not carry out data retrieval.
After the sequence of supplier is completed, in step S103 specific implementation, the inquiry request of party in request is received, is needed
The side of asking can indicate the main body mark of demand data in inquiry request.For example, inquiry request includes identity ID0001, then it represents that
The required data of party in request are the individual related data that identity ID is 0001.
And then in step S104, it can enter according to the data that the sorted order is provided the multiple supplier successively
Row retrieval, to obtain the data to match with main body mark.That is, if the data that supplier provides are including described
Main body identifies, then by the data output to party in request.
In technical solution of the present invention, the data and the search condition that are provided due to multiple suppliers possess default dimension
Classification and the classification of default label value, therefore the multiple search conditions that can be directed to party in request are retrieved, and avoid existing skill
It is only capable of being retrieved for data mapping in art, improves recall precision；Further, it is also possible to using search condition to supplier
It is ranked up, and is retrieved according to the sorted order, the search strategy so as to just customize as desired carries out flexible
Route formula retrieval, reduce the data purchase cost of party in request, realize data retrieval flexibility；It can be examined with meet demand side
The requirement of rope priority so that party in request gets demand data, improves Consumer's Experience.
In a concrete application scene of the invention, the data retrieval method shown in Fig. 1 can be used for except supplier and need
Third-party platform outside the side of asking, such as data trade platform.Third-party platform square retrieval priority restrictions as desired, will
The availability of data side that be provided with party in request is asked is ranked up.After the sorted order of supplier is ranked, party in request's hair
Rise inquiry request, input inquiry ID, and to third-party platform send authority after, third-party platform can be automatically according to set
Sorted order, successively to supplier's request data, the result that is needed until obtaining party in request, or reach retrieval priority about
Shu Zhiding stop condition (such as single ID budgets threshold value), inquiry stop.
In a preferred embodiment of the invention, the data that supplier provides are collage-credit data.The search method can be with
Retrieve the collage-credit data that the main body mark proposed with party in request matches.Party in request can be according to the collage-credit data of acquisition to this
The credit standing of user that main body mark is pointed to is verified, to judge whether to give user's credit, and determine the accrediting amount,
Credit time limit and interest rate etc..
The embodiment of the present invention can realize effective single-point access inquiry, and the form that data are provided by data supplier is united
One, it is possible to achieve flexible according to carry out such as the rule constraint of data demander customization, budgetary restraints, quality constraint and performance constraints
Route formula is retrieved.
Fig. 2 is refer to, step S102 may comprise steps of：
Step S201：Receive the demand field of party in request's input；
Step S202：It is determined that provide the multiple supplier of the demand field；
Step S203：According to the matching of the data that the multiple supplier provides and the multiple search condition, and
The order of the priority of the multiple search condition is ranked up to the multiple supplier.
In the present embodiment, party in request can inform its required data of third-party platform by demand field.Due to
Tripartite's platform can know the field that each supplier is provided, therefore can be by the way that demand field and supplier provided
Field is compared, it may be determined that provides availability of data side needed for party in request.
For example, the demand field of party in request's input is field B.The supplier for providing field B has supplier one, supplier two
With supplier three.
Further, step S203 may comprise steps of：According to the height of the priority of the multiple search condition
Sequentially, data supplier provided are matched with search condition, to obtain matching result；According to institute in the matching result
The priority for stating the search condition that supplier is matched determines the ordinal position of the supplier, the inspection that the supplier is matched
The priority of rope condition is higher, and the ordinal position of the supplier is more forward.
For example, the search condition of the limit priority of party in request is less than 0.5 yuan/time for monovalent preferential and unit price.For supplying
Ying Fangyi, two and three, the inquiry unit price of its data provided are followed successively by 0.2 yuan/time, 0.5 yuan/time and 0.1 yuan/time.Supply
Inquiry unit price and the search condition for the data that side two is provided mismatch, then supplier two can be rejected, and to supplier one
The sorted order obtained after being ranked up with three is supplier three and supplier one.
Preferably, the method shown in Fig. 1 can also comprise the following steps：Match if got with main body mark
Data, then stop retrieval；Or if reaching setting stop condition, stop retrieval.
In the present embodiment, if retrieving the data to match with main body mark in the data that supplier provides,
Then by the data to party in request, and stop retrieving.Or party in request can also pre-set predetermined stoppage condition, once retrieval
During reach setting stop condition, then stop retrieving.Such as stop condition is set as single ID budgets threshold value, due to each
Inquiry can all produce budget, therefore when the inquiry accumulation budget for single ID reaches single ID budgets threshold value, then stop to the ID
Retrieval.
In another concrete application scene of the invention, the retrieval priority restrictions of party in request's input are according to the priority
Include preferential, the single ID budgets threshold value of unit price and delay threshold respectively；Sorted order is supplier three and supplier one.Receiving
After the inquiry request of party in request, first time retrieval is carried out to the data that supplier three provides, identified if obtained with the main body
The data to match, then stop retrieval；If the data to match with main body mark are not obtained, it is determined that retrieve for the first time
After the completion of budget whether exceed single ID budgets threshold value, if it is, stop retrieval；Otherwise after determining that search complete for the first time
Whether delay exceedes delay threshold, if it is, stopping retrieval；Otherwise, continue to carry out second to the data that supplier one provides
Secondary retrieval, subsequent process refer to first time retrieving, and here is omitted.
In a preferred embodiment of the invention, can also include entering the data of supplier before data retrieval is carried out
The process of row pretreatment.Please with reference to Fig. 1 and Fig. 3, can also comprise the following steps before step S101：
Step S301：The source data provided the multiple supplier is standardized, to obtain standardized data,
The standardized data possesses the default dimension classification and the default label value classification.
In the present embodiment, the process being standardized to the source data of multiple suppliers offer can be that third party puts down
What platform was carried out.Because the source data that multiple suppliers provide may possess different key assignments and/or label value, to follow-up retrieval
Make troubles, therefore the embodiment of the present invention is standardized to source data, is had to lock a data for supplier's offer
Standby unified dimension and label value.
It should be noted that default dimension classification and the default label value classification can be set in advance.
Step S302：The standardized data that the multiple supplier provides is received, the standardized data possesses described pre-
If dimension classification and default label value classification.
In the present embodiment, the process being standardized to the source data of multiple suppliers offer can be in supplier
Carry out, the standardized data that pretreatment obtains is sent to third-party platform by supplier.Specifically, rower is entered to source data
The device of standardization processing can be deployed in the front end processor of supplier.
For example, please with reference to Fig. 4 and Fig. 5.As shown in Figure 4, there is provided field A supplier has supplier one and supplier
Two.But the data format disunity that supplier one and supplier two provide for field A.The present embodiment by step S301 or
Step S302 so that the data that supplier one and supplier two are provided are unified for " 001：It is " and " 002：It is no ".
As shown in Figure 5, there is provided field B supplier has supplier one, supplier two and supplier three.But supplier
First, the data format disunity that supplier two and supplier three provide for field B, different areas has been divided to the value of data
Between.The present embodiment passes through step S301 or step S302 so that the data that supplier one and supplier two are provided are unified for
“00：Look into no data ", " 01：[0,100] " and " 02：(100, ∞) ".
Step S303 can also be included before step S101：Semantic analysis is carried out to the standardized data, by described in
The classification of default dimension and default label value classifying and dividing to corresponding field in standardized data.
The embodiment of the present invention realizes that multi-source data single entry is accessed by way of the Data Integration parsed automatically, can be with
Cost of access is reduced, improves access efficiency；The workload of data circulation organizer can also be reduced.
In the present embodiment, standardized data can be passed through application programming interface (Application
Programming Interface, API) access third-party platform.Third-party platform can be by based on the automatic of machine learning
Semantic resolution component, automatic, unified interface encapsulation is realized, demand data side is easily connect by single entry
The mode of mouth, data inquiry request is carried out to multiple suppliers.It is understood that to reach this patent purpose, can also incite somebody to action
Multiple sub-interfaces are voluntarily handled by party in request, or carry out manual interface encapsulation using manual method.But these alternative solution meetings
The efficiency of data retrieval, the cost of access for the side of increasing demand greatly are reduced, and greatly increases the work of data circulation organizer
Amount.
As shown in fig. 6, data searcher 60 can include：
Retrieve the retrieval priority restrictions that priority restrictions receiving module 601 is suitable to receive party in request's input, the retrieval
Priority restrictions include the multiple search conditions for possessing different priorities；
The data that order module 602 is suitable to be provided according to the multiple search condition and multiple suppliers are to the multiple confession
Should just it be ranked up, to obtain sorted order, the data that the multiple supplier provides possess default dimension classification and preset
Label value classification, the search condition includes the default dimension classification and the default label value classification；
Inquiry request receiving module 603 is suitable to receive the inquiry request that party in request sends, and the inquiry request includes main body
Mark；
Retrieval module 604 is suitable to examine according to the data that the sorted order successively provides the multiple supplier
Rope, to obtain the data to match with main body mark.
In the embodiment of the present invention, the data and the search condition that are provided due to multiple suppliers possess default dimension point
Class and the classification of default label value, therefore the multiple search conditions that can be directed to party in request are retrieved, and avoid prior art
In be only capable of being retrieved for data mapping, improve recall precision；Further, it is also possible to supplier is entered using search condition
Row sequence, and retrieved according to the sorted order, the search strategy so as to just customize as desired carries out flexible
Route formula is retrieved, and is reduced the data purchase cost of party in request, is realized data retrieval flexibility；It can be retrieved with meet demand side
The requirement of priority so that party in request gets demand data, improves Consumer's Experience.
Preferably, as shown in fig. 7, order module 602 can include：Demand field receiving unit 6021, suitable for receiving institute
State the demand field of party in request's input；Supplier's determining unit 6022, it is adapted to determine that and the multiple of the demand field is provided
Supplier；Sequencing unit 6023 is suitable to the matching according to the data that the multiple supplier provides and the multiple search condition
Property, and the order of the priority of the multiple search condition are ranked up to the multiple supplier.
Further, sequencing unit 6023 can include coupling subelement (not shown), suitable for according to the multiple retrieval
The sequence of the priority of condition, the data that supplier is provided are matched with search condition, to obtain matching result；Row
Sequence subelement (not shown), the priority suitable for the search condition that supplier is matched according to the matching result determine
The ordinal position of the supplier, the priority for the search condition that the supplier is matched is higher, the order of the supplier
Position is more forward.
As shown in figure 8, data searcher 60 can also include：First stopping modular 605, suitable for get with it is described
During the data that main body mark matches, stop retrieval；
Or second stopping modular 606, suitable for when reaching setting stop condition, stopping retrieval.
Further, data searcher 60 can also include：Pretreatment module 607, suitable for the multiple supplier
The source data of offer is standardized, and to obtain standardized data, the standardized data possesses the default dimension
Classification and the default label value classification.
Standardized data receiving module 608, the standardized data provided suitable for receiving the multiple supplier, the standard
Change data and possess the default dimension classification and the default label value classification
Data access module 609, suitable for carrying out semantic analysis to the standardized data, by the standardized data
Default dimension classification and default label value classifying and dividing to corresponding field.
More contents of operation principle, working method on the data searcher 60, are referred to Fig. 1 to Fig. 5
In associated description, repeat no more here.
The embodiment of the invention also discloses a kind of storage medium, is stored thereon with computer instruction, the computer instruction
The step of data retrieval method shown in Fig. 1, Fig. 2 or Fig. 3 can be performed during operation.The storage medium can include ROM,
RAM, disk or CD etc..
The embodiment of the invention also discloses a kind of terminal, the terminal can include memory and processor, the storage
The computer instruction that can be run on the processor is stored with device.The processor can be with when running the computer instruction
The step of performing the data retrieval method shown in Fig. 1, Fig. 2 or Fig. 3.The terminal include but is not limited to server, computer,
The terminal devices such as tablet personal computer.
Although present disclosure is as above, the present invention is not limited to this.Any those skilled in the art, this is not being departed from
In the spirit and scope of invention, it can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
The scope of restriction is defined.
Claims (15)
- A kind of 1. data retrieval method, it is characterised in that including：The retrieval priority restrictions of party in request's input are received, the retrieval priority restrictions include possessing the multiple of different priorities Search condition；The multiple supplier is ranked up according to the data that the multiple search condition and multiple suppliers provide, to obtain Sorted order, the data that the multiple supplier provides possess default dimension classification and the classification of default label value, the inspection Rope condition includes the default dimension classification and the default label value classification；The inquiry request that party in request sends is received, the inquiry request identifies including main body；The data provided successively the multiple supplier according to the sorted order are retrieved, to obtain and the main body mark The data of sensible matching.
- 2. data retrieval method according to claim 1, it is characterised in that it is described according to it is described retrieval priority restrictions and The data that multiple suppliers provide multiple suppliers are ranked up including：Receive the demand field of party in request's input；It is determined that provide the multiple supplier of the demand field；According to the matching of the data that the multiple supplier provides and the multiple search condition, and the multiple retrieval bar The order of the priority of part is ranked up to the multiple supplier.
- 3. data retrieval method according to claim 2, it is characterised in that it is described according to the multiple supplier provide The matching degree of data and the multiple search condition, and the priority of the multiple search condition order to the multiple confession Should just be ranked up including：According to the sequence of the priority of the multiple search condition, the data that supplier is provided and search condition progress Match somebody with somebody, to obtain matching result；The priority for the search condition that supplier is matched determines the order of the supplier according to the matching result Position, the priority for the search condition that the supplier is matched is higher, and the ordinal position of the supplier is more forward.
- 4. data retrieval method according to claim 1, it is characterised in that it is described according to the sorted order successively to institute Stating the data that multiple suppliers provide and carrying out retrieval includes：Main body mark and main body mark in the data provided according to the sorted order each supplier match, And export the data for including the main body mark.
- 5. data retrieval method according to claim 1, it is characterised in that also include：If getting the data to match with main body mark, stop retrieval；Or if reaching setting stop condition, stop retrieval.
- 6. data retrieval method according to claim 1, it is characterised in that the retrieval of reception party in request input is preferential Include before level constraint：The source data provided the multiple supplier is standardized, to obtain standardized data, the normalized number Classify according to possessing the default dimension classification with the default label value；Or the standardized data that the multiple supplier provides is received, the standardized data possesses the default dimension Classification and the default label value classification.
- 7. data retrieval method according to claim 6, it is characterised in that also include：Semantic analysis is carried out to the standardized data, by the default dimension classification in the standardized data and default mark Label value classifying and dividing is to corresponding field.
- A kind of 8. data searcher, it is characterised in that including：Priority restrictions receiving module is retrieved, suitable for receiving the retrieval priority restrictions of party in request's input, the retrieval priority Constraint includes the multiple search conditions for possessing different priorities；Order module, suitable for being entered according to the data of the multiple search condition and multiple suppliers offer to the multiple supplier Row sequence, to obtain sorted order, the data that the multiple supplier provides possess default dimension classification and default label Value classification, the search condition include the default dimension classification and the default label value classification；Inquiry request receiving module, the inquiry request sent suitable for receiving party in request, the inquiry request identify including main body；Module is retrieved, the data suitable for being provided successively the multiple supplier according to the sorted order are retrieved, to obtain Obtain the data to match with main body mark.
- 9. data searcher according to claim 8, it is characterised in that the order module includes：Demand field receiving unit, suitable for receiving the demand field of party in request's input；Supplier's determining unit, it is adapted to determine that the multiple supplier that the demand field is provided；Sequencing unit, suitable for the matching of the data and the multiple search condition that are provided according to the multiple supplier, and The order of the priority of the multiple search condition is ranked up to the multiple supplier.
- 10. data searcher according to claim 9, it is characterised in that the sequencing unit includes：Coupling subelement, suitable for the sequence of the priority according to the multiple search condition, the data that supplier is provided Matched with search condition, to obtain matching result；Sort subelement, and the priority suitable for the search condition that supplier is matched according to the matching result determines institute The ordinal position of supplier is stated, the priority for the search condition that the supplier is matched is higher, the sequential bits of the supplier Put more forward.
- 11. data searcher according to claim 8, it is characterised in that the retrieval module is suitable according to the retrieval Main body mark and main body mark in the data that each supplier of ordered pair provides are matched, and output includes the main body The data of mark.
- 12. data searcher according to claim 8, it is characterised in that also include：First stopping modular, suitable for when getting the data to match with main body mark, stopping retrieval；Second stopping modular, suitable for when reaching setting stop condition, stopping retrieval.
- 13. data searcher according to claim 8, it is characterised in that also include：Pretreatment module, the source data suitable for providing the multiple supplier is standardized, to obtain normalized number According to the standardized data possesses the default dimension classification and the default label value classification；Or standardized data receiving module, the standardized data provided suitable for receiving the multiple supplier, the standardization Data possess the default dimension classification and the default label value classification.
- 14. data searcher according to claim 13, it is characterised in that also include：Data access module, will be default in the standardized data suitable for carrying out semantic analysis to the standardized data Dimension is classified and default label value classifying and dividing to corresponding field.
- 15. a kind of terminal, including memory and processor, the meter that can be run on the processor is stored with the memory Calculation machine instructs, it is characterised in that perform claim requires any one of 1 to 7 institute when the processor runs the computer instruction The step of stating data retrieval method.
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