CN110347788A - Service inquiry method, apparatus and storage medium, computer equipment - Google Patents
Service inquiry method, apparatus and storage medium, computer equipment Download PDFInfo
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- CN110347788A CN110347788A CN201910506767.4A CN201910506767A CN110347788A CN 110347788 A CN110347788 A CN 110347788A CN 201910506767 A CN201910506767 A CN 201910506767A CN 110347788 A CN110347788 A CN 110347788A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
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- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
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Abstract
The present invention provides a kind of service inquiry method, apparatus and storage medium, computer equipment, which comprises reads the search text for service inquiry of user's input；The participle in described search text is extracted, participle group is obtained according to the participle of extraction；Semantic analysis is carried out using each participle of the semantic analysis to the participle group, determines the search condition of described search text；Target service data are extracted from data cube according to the search condition, target service data described in Xiang Suoshu user feedback.The above method can simplify the logic of service inquiry, improve the efficiency of service inquiry.
Description
Technical field
The present invention relates to service inquiry technical fields, specifically, the present invention relates to a kind of service inquiry method, apparatus and
Storage medium, computer equipment.
Background technique
The exploitation of natural language processing system is in current database smart field in occupation of critical role.Traditional inquiry
System is based on specific transactions, is analyzed by professional and encoded the inquiry for realizing corresponding data logic.Specifically, research staff needs
It establishes corresponding table and defines service logic inquiry.Different business, research staff need to repeat to go to build table and
Service logic inquiry is defined, and is encoded accordingly, development efficiency is lower, and the efficiency of front end inquiry is relatively low.
For example, traditional directory system, which first predefines, to be had when " the highest mechanism of life insurance net profit in 2017 " is inquired in front end
Support the function of similar sentence inquiry.Developer first establish be sorted by time comprising operational indicator " net profit " and corresponding machine
Then the table of structure writes sql query statement, " life insurance " and " net profit " is incoming as keyword.Last front end passes through linkage
The form of drop-down menu is chosen and the most inquisitive label of user, query display data.The finger of a different business is changed in this
Mark is both needed to build expression condition in view of front end and rear end.In the case that there are many operational indicator, user can only be very long by one
Drop-down menu or the multilevel menu query result of choosing oneself desired, inquiry operation is pretty troublesome, and search efficiency is also very low.
Summary of the invention
The present invention proposes a kind of service inquiry method, apparatus and storage medium, computer equipment, can simplify service inquiry
Logic, improve the efficiency of service inquiry.
The present invention provides following scheme:
A kind of service inquiry method, comprising: read the search text for service inquiry of user's input；It is searched described in extraction
Participle in Suo Wenben obtains participle group according to the participle of extraction；Using semantic analysis to each of the participle group
A participle carries out semantic analysis, determines the search condition of described search text；According to the search condition from data cube
Middle extraction target service data, target service data described in Xiang Suoshu user feedback.
The search condition includes the target service object retrieved and the target service in one of the embodiments,
The qualifications of object；It is described that semantic analysis is carried out using each participle of the semantic analysis to the participle group, it determines
The search condition of described search text extracts target service data according to the search condition, comprising: right from data cube
Each participle carries out semantic analysis, obtains the corresponding semanteme of each participle；By analyze all participles it is corresponding it is semantic with
And the sentence structure of described search text, determine the qualifications of the target service object and the target service object；
Target service number is extracted from data cube according to the qualifications of the target service object and the target service object
According to.
The data cube is determined according to following manner in one of the embodiments: obtaining the business of multiple business
The qualifications of object and each business object；It is described using the business object of the multiple business as the first index condition
The qualifications of business object are determined as the second index condition according to the first index condition and the second index condition
The retrieval information of the number of dimensions of the data cube and each dimension；Wherein, the second index condition determines one
Item or a plurality of dimension, the first index condition determine a dimension；According to the number of dimensions and each dimension
Retrieval information determines the data cube.
The restriction item according to the target service object and the target service object in one of the embodiments,
Part extracts target service data from data cube, comprising: according to the target service object from the data cube
The first dimensional information is filtered out in the first index condition；In the data cube, first dimensional information is corresponding
Multiple business datums, each business datum correspond to multiple qualifications；According to the qualifications of the target service object from institute
It states in the corresponding the multiple business datum of the first dimensional information and filters out the target service data.
The qualifications of the target service object are multiple in one of the embodiments,；It is described according to the target
The qualifications of business object filter out the target industry from the corresponding the multiple business datum of first dimensional information
Business data, comprising: execution n times are chosen one or more qualifications from the multiple qualifications and are combined, and each group
A condition set is obtained after conjunction；Wherein, n is the integer greater than 1；Respectively according to each condition set from first dimensional information pair
A target service data are filtered out in the multiple business datum answered, and obtain multiple target service data；It is described to
Target service data described in the user feedback, comprising: according to the qualifications in the condition set to the multiple target industry
Data of being engaged in carry out priority ranking；Multiple target service data to after user feedback sequence.
The qualifications according in the condition set are to the multiple target service number in one of the embodiments,
According to progress priority ranking, comprising: obtain the priority of each qualifications in each condition set；Each qualifications
Priority determined by system according to preset rules；The priority of the qualifications in each condition set is compared respectively
Compared with according to the priority ranking of qualifications to target service data progress priority ranking.
It is described in one of the embodiments, that semanteme is carried out using each participle of the semantic analysis to the participle group
Analysis, determines the search condition of described search text, comprising: semantic analysis is carried out to each participle, according to each point
The semanteme of word filters out the keyword of described search text, and the retrieval item of described search text is determined according to the keyword
Part.
A kind of service inquiry device, comprising: read module, for reading the search text for service inquiry of user's input
This；Extraction module obtains participle group according to the participle of extraction for extracting the participle in described search text；Obtain mould
Block determines described search text for carrying out semantic analysis using each participle of the semantic analysis to the participle group
Search condition；Feedback module, for extracting target service data, Xiang Suoshu from data cube according to the search condition
Target service data described in user feedback.
A kind of storage medium, is stored thereon with computer program；The computer program is suitable for being loaded and being held by processor
Service inquiry method described in any of the above-described embodiment of row.
A kind of computer equipment comprising: one or more processors；Memory；One or more application program, wherein
One or more of application programs are stored in the memory and are configured as being held by one or more of processors
Row, one or more of application programs are configured to carry out the service inquiry method according to any of the above-described embodiment.
Service inquiry method provided by the above embodiment will extract the participle of the search text of front end user input, to every
After a participle carries out semantic analysis, the search condition of search text is determined.Further, directly according to search condition, from number
According to the target service data for extracting user's search in cube, by target service data feedback to front end user.It is therefore not necessary to needle
The target service of user search is carried out individually building table and defines service inquiry logic, when can directly analyze user search
Corresponding target service data are read out after the search text of input from data cube.This method can simplify service inquiry
Logic, improve the efficiency of service inquiry.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is the method flow diagram in an a kind of embodiment of service inquiry method provided by the invention；
Fig. 2 is the Part Methods flow chart in a kind of another embodiment of service inquiry method provided by the invention；
Fig. 3 is the Part Methods flow chart in a kind of another embodiment of service inquiry method provided by the invention；
Fig. 4 is the structural block diagram in an a kind of embodiment of service inquiry device provided by the invention；
Fig. 5 is the structural schematic diagram in an a kind of embodiment of computer equipment provided by the invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form, " first " used herein, " second " are only used for distinguishing same technology special
Sign, is not limited the sequence of the technical characteristic and quantity etc..It is to be further understood that in specification of the invention
The wording " comprising " used refers to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that depositing
Or add other one or more features, integer, step, operation, element, component and/or their group.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
The present invention provides a kind of service inquiry method, in the search text for receiving the service inquiry of front end user input
After this, service inquiry is carried out according to the search text, and the related data of the business inquired is fed back to front end.Implement one
In example, as shown in Figure 1, the service inquiry method, comprising the following steps:
S100 reads the search text for service inquiry of user's input.
In this embodiment, operation system provides search box to user front end, inputs when for receiving customer service search
Search for text.Herein, search text is the text that nature talks about art, and it (includes business profession phase that operation system, which will can talk about naturally art,
Close word) it is parsed into the report data displaying that user wants acquisition.
S200 extracts the participle in described search text, obtains participle group according to the participle of extraction.
In the present embodiment, it after operation system gets the search text inputted when user searches for from front end, will search for
Text carries out word cutting processing, extracts each participle of search text, and each participle combination obtains participle group.For example, user exists
When front end inputs " the highest mechanism of life insurance net profit in 2017 ", " 2017 ", " longevity are obtained after which is carried out word cutting
Danger ", " net profit ", " highest ", " ", " mechanism ".All participles constitute the participle group of the search text.
In one embodiment, step S200, comprising: described search text is subjected to word cutting, according to participle each after word cutting
Part of speech filter out target participle, segmented to obtain the participle group according to the target after screening.
In this embodiment, after operation system carries out word cutting to search text, some obtained participles do not have essence
Search meaning.As auxiliary word " ", conjunction "and" etc..Herein, it can screen out to participle of the search without essential meaning, obtain multiple
Target participle forms the participle group according to multiple targets participle.Therefore, the subsequent participle according in participle group carries out semantic point
When analysis and search matching, the analysis and search pressure of system server can reduce.
In one embodiment, the part of speech according to participle each after word cutting filters out target participle, comprising: obtains institute
The part of speech for stating each participle after word cutting rejects the participle that part of speech is conjunction and auxiliary word, and the participle after rejecting is as target participle.
Specifically, can by participle conjunction and auxiliary word these reject without practical representational content, follow-up system
Server is not necessarily to scan for operating according to the conjunction and auxiliary word searched in text, can reduce the pressure of server, also can be improved
Effectiveness of retrieval.
S300 carries out semantic analysis using each participle of the semantic analysis to the participle group, determines described search
The search condition of Suo Wenben.
In the present embodiment, after system obtains the participle group of search text, participle each in participle group is carried out semantic
Analysis.Semantic analysis can be, by identifying to participle text, by participle and the word progress in system repertorie
With identification, the semanteme of the participle is determined.In turn, according to the semanteme of each participle, the inspection of the target service of user's search is determined
Rope condition.Wherein, operation system can read out the target service of user's search according to the search condition from database.Example
Such as, participle group include " 2017 ", " life insurance ", " net profit ", " highest ", " ", " mechanism ".User is understood by semantic analysis
The purpose of search is inquiry mechanism, and other is the qualifications for inquiring mechanism entirely.Herein, it inquires mechanism and inquires the limit of mechanism
Fixed condition is the search condition.
In one embodiment, step S300, comprising: semantic analysis is carried out to each participle, according to each participle
Semanteme filters out the keyword of described search text, and the search condition of described search text is determined according to the keyword.
If number of characters is excessive in the search text of user's input, or logic of language and word in the search text of input
Lack of standardization, the difficulty for going out target service according to the semantic computation by each participle is larger, increases excessive pressure to server.
In this embodiment, keyword screening is carried out according to each participle is semantic, filters out keyword, and then determine according to keyword
The search condition of described search text can reduce the operation pressure of server.
S400 extracts target service data, Xiang Suoshu user feedback institute according to the search condition from data cube
State target service data.
In the present embodiment, it is vertical in the data of database according to search condition after operation system determines search condition
Corresponding target service data are found in cube.Wherein, data cube is determining according to multiple queries condition and is stored with
The Multidimensional Data Model of multiple business datums.Include the search condition in multiple queries condition, is wrapped in multiple business datums
Contain the target service data.In one embodiment, querying condition includes N (N is more than or equal to 1 integer) a restriction
Condition, each qualifications determine a dimensional information of data cube, and N number of qualifications determine data cube
In N number of dimensional information.It can determine that one or more business datums by a querying condition.It specifically can be, one is looked into
Inquiry condition determines store in data cube business datum.The search condition belongs to one such inquiry item
Part can determine that some business datum in data cube, i.e., the described target service data according to the search condition.
After operation system gets target service data, by mark business datum feedback to user front end.Mark business number
According in operation system with the associated related data information of the target service.Such as, according to search text " life insurance net profit in 2017
Highest mechanism " determines that the target service of user query is " mechanism ", and term restriction is that " life insurance net profit in 2017 is most
It is high ", it is stored with the net profit of various life insurances in 2017 in system, the corresponding mechanism of the highest life insurance of net profit is obtained, by this
The data information of mechanism is as the search data to user feedback.
Service inquiry method provided by the above embodiment will extract the participle of the search text of front end user input, to every
After a participle carries out semantic analysis, the search condition of search text is determined.Further, directly according to search condition, from number
According to the target service data for extracting user's search in cube, by target service data feedback to front end user.It is therefore not necessary to needle
The target service of user search is carried out individually building table and defines service inquiry logic, when can directly analyze user search
Corresponding target service data are read out after the search text of input from data cube.This method can simplify service inquiry
Logic, improve the efficiency of service inquiry.
In one embodiment, the search condition in step S300 includes the target service object and the mesh of retrieval
Mark the qualifications of business object.At this point, as shown in Fig. 2, in step S300 and step S400, respectively include:
S310 carries out semantic analysis to each participle, obtains the corresponding semanteme of each participle.
S320 is determined described by analyzing corresponding semantic and described search text the sentence structure of all participles
The qualifications of target service object and the target service object.
S410 is mentioned from data cube according to the qualifications of the target service object and the target service object
Take target service data.
In this embodiment, when operation system reads the search text of front end user input, described search text is analyzed
Sentence structure.Semantic analysis is being carried out to each participle, after obtaining the corresponding semanteme of each participle, in conjunction with all participles pair
The semanteme answered and the sentence structure for searching for text determine target service object in search condition and target service object
Qualifications.
In one embodiment, step S320 includes: to determine each participle according to the sentence structure of described search text
The mesh is determined in conjunction with each participle in the position of search text and the semanteme of each participle in the position of search text
Mark the qualifications of business object and the target service object.Specifically, described in being determined by subject, predicate and object etc.
Search for the sentence structure of text.
In one embodiment, operation system can establish in advance data cube based on the business datum of system.Such as Fig. 3 institute
Show, the data cube is determined according to following manner:
S401 obtains the business object of multiple business and the qualifications of each business object.
S403, using the business object of the multiple business as the first index condition, the qualifications of the business object
As the second index condition, the dimension of the data cube is determined according to the first index condition and the second index condition
The retrieval information of degree amount and each dimension；Wherein, the second index condition determines one or more dimension, described
One index condition determines a dimension.
S405 determines the data cube according to the retrieval information of the number of dimensions and each dimension.
In this embodiment, multiple business datums are stored in operation system.It include target industry in multiple business datums
Business data.Operation system obtains the business object of each business and the qualifications of each business object, using business object as
First index condition, the qualifications of business object establish data cube as the second index condition.Wherein, the first index
Condition determines that a dimensional information of data cube, the second index condition determine one or more dimensions of data cube
Information.Retrieval information when each equal correspondence system of dimensional information is retrieved.According to the number of dimensions of data cube and each dimension
The retrieval information of degree establishes the data cube.
At this point, step S400, comprising: indexed according to the target service object from described the first of the data cube
The first dimensional information is filtered out in condition；In the data cube, first dimensional information corresponds to multiple business datums,
The corresponding multiple qualifications of each business datum；Believed according to the qualifications of the target service object from first dimension
It ceases and filters out the target service data in corresponding the multiple business datum.
Specifically, after operation system, which is based on business datum, establishes the data cube, by the target service pair
As filtering out the corresponding multiple business datums of the first dimensional information as the first index condition.In turn, by the restriction of target object
Condition filters out the target service data as the second index condition from multiple business datums.
Further, the qualifications of the target service object are multiple.It is described according to the target service object
Qualifications filter out the target service data from the corresponding the multiple business datum of first dimensional information, packet
Include: execution n times are chosen one or more qualifications from the multiple qualifications and are combined, and obtain one after combination every time
A condition set；Wherein, n is the integer greater than 1；It is corresponding described more from first dimensional information according to each condition set respectively
A target service data are filtered out in a business datum, obtain multiple target service data.At this point, described to the use
Feed back the target service data in family, comprising: according to the qualifications in the condition set to the multiple target service data
Carry out priority ranking；Multiple target service data to after user feedback sequence.
Specifically, the qualifications of target object are multiple, it is assumed herein that for M.In data cube, business object
Qualifications are S as the dimensional information that the second index condition determines.Wherein, M > S.At this point, operation system is in M restriction item
The qualifications that one or more (less equal than S) are obtained in part are combined, according to the qualifications after combination, from number
According to filtering out a target service data in the corresponding the multiple business datum of the first dimensional information described in cube.At this
In embodiment, operation system obtains the operation that one or more qualifications are combined from M qualifications, performs
N times filter out a target service data every time, so that n target service data can be obtained.Finally, to user feedback institute
When stating target service data, priority is carried out to n target service data according to the priority of the qualifications after each combination
Sequence, multiple target service data after Xiang Suoshu user feedback sequence.
In one embodiment, the qualifications according in the condition set to the multiple target service data into
Row major grade sequence, comprising: obtain the priority of each qualifications in each condition set；Each qualifications it is excellent
First grade is determined by system according to preset rules；The priority of the qualifications in each condition set is compared respectively,
Priority ranking is carried out to the target service data according to the priority ranking of qualifications.
Specifically, system is defined according to priority of the preset rules to each qualifications in each condition set,
Determine the priority of each qualifications.Wherein, preset rules can be according to qualifications and target service data
Priority ranking is carried out from high to low with degree.It therefore, will after system determines the priority of the qualifications of each condition set
The priority of each qualifications in condition set is compared, and finally obtained sequence is multiple target service high priority datas
Grade sequence.Therefore, multiple target service data can be provided a user, so that the target service data of feedback are more intended to
The demand of user.
The present invention also provides a kind of service inquiry devices.In one embodiment, as shown in figure 4, the service inquiry device packet
It includes read module 10, extraction module 20, obtain module 30 and feedback module 40.
Read module 10 is used to read the search text for service inquiry of user's input.In this embodiment, business system
It unites and provides search box to user front end, for receiving the search text inputted when customer service search.Herein, search text is certainly
So text of words art, operation system will can talk about naturally art (including business profession related term) and be parsed into the desired report obtained of user
Table data are shown.
Extraction module 20 is used to extract the participle in described search text, obtains participle group according to the participle of extraction.
In the present embodiment, after operation system gets the search text inputted when user searches for from front end, search text is carried out
Word cutting processing, extracts each participle of search text, and each participle combination obtains participle group.For example, user inputs in front end
When " the highest mechanism of life insurance net profit in 2017 ", which is carried out to obtaining after word cutting " 2017 ", " life insurance ", " net
Profit ", " highest ", " ", " mechanism ".All participles constitute the participle group of the search text.
It obtains module 30 to be used to carry out semantic analysis using each participle of the semantic analysis to the participle group, determine
The search condition of described search text out.In the present embodiment, after system obtains the participle group of search text, in participle group
Each participle carries out semantic analysis.Semantic analysis can be, by identifying to participle text, by participle and system language
Word in library carries out match cognization, determines the semanteme of the participle.In turn, according to the semanteme of each participle, determine that user searches
The search condition of the target service of rope.Wherein, operation system can read out user according to the search condition from database and search
The target service of rope.For example, participle group include " 2017 ", " life insurance ", " net profit ", " highest ", " ", " mechanism ".Pass through
The purpose that semantic analysis understands user's search is inquiry mechanism, and other is the qualifications for inquiring mechanism entirely.Herein, mechanism is inquired
And the qualifications of inquiry mechanism are the search condition.
Feedback module 40 is used to extract target service data from data cube according to the search condition, to the use
Feed back the target service data in family.In the present embodiment, after operation system determines search condition, existed according to search condition
Corresponding target service data are found in the data cube of database.Wherein, data cube is according to multiple queries item
Part is determining and is stored with the Multidimensional Data Model of multiple business datums.It include the search condition in multiple queries condition, it is more
It include the target service data in a business datum.In one embodiment, querying condition include N (N be more than or equal to
1 integer) a qualifications, each qualifications determine a dimensional information of data cube, N number of qualifications, that is, true
Make N number of dimensional information in data cube.It can determine that one or more business datums by a querying condition.Specifically
It can be, a querying condition determines store in data cube business datum.The search condition belongs to wherein
A kind of querying condition, some business datum in data cube, i.e., the described target can determine that according to the search condition
Business datum.
After operation system gets target service data, by mark business datum feedback to user front end.Mark business number
According in operation system with the associated related data information of the target service.Such as, according to search text " life insurance net profit in 2017
Highest mechanism " determines that the target service of user query is " mechanism ", and term restriction is that " life insurance net profit in 2017 is most
It is high ", it is stored with the net profit of various life insurances in 2017 in system, the corresponding mechanism of the highest life insurance of net profit is obtained, by this
The data information of mechanism is as the search data to user feedback.
In other embodiments, the modules in service inquiry device provided by the invention are also used to execute institute of the present invention
In the service inquiry method stated, the operation that corresponding each step executes no longer is described in detail herein.
The present invention also provides a kind of storage mediums.Computer program is stored on the storage medium；The computer program
When being executed by processor, service inquiry method described in any of the above-described embodiment is realized.The storage medium can be memory.Example
Such as, built-in storage or external memory, or including both built-in storage and external memory.Built-in storage may include read-only storage
Device (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash
Device or random access memory.External memory may include hard disk, floppy disk, ZIP disk, USB flash disk, tape etc..It is disclosed in this invention to deposit
Storage media includes but is not limited to the memory of these types.Memory disclosed in this invention is only used as example rather than as limit
It is fixed.
The present invention also provides a kind of computer equipments.A kind of computer equipment includes: one or more processors；Storage
Device；One or more application program.Wherein one or more of application programs are stored in the memory and are configured
To be executed by one or more of processors, one or more of application programs are configured to carry out any of the above-described embodiment
The service inquiry method.
Fig. 5 is the structural schematic diagram of the computer equipment in one embodiment of the invention.Computer equipment described in the present embodiment
It can be server, personal computer and the network equipment.As shown in figure 5, equipment include processor 503, it is memory 505, defeated
Enter the devices such as unit 507 and display unit 509.It will be understood by those skilled in the art that the device structure device shown in Fig. 5 is simultaneously
The restriction to all devices is not constituted, may include than illustrating more or fewer components, or the certain components of combination.Memory
505 can be used for storing application program 501 and each functional module, and processor 503 runs the application program for being stored in memory 505
501, thereby executing the various function application and data processing of equipment.Memory can be built-in storage or external memory, or
Person includes both built-in storage and external memory.Built-in storage may include read-only memory (ROM), programming ROM (PROM),
Electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory or random access memory.External storage
Device may include hard disk, floppy disk, ZIP disk, USB flash disk, tape etc..Memory disclosed in this invention includes but is not limited to these types
Memory.Memory disclosed in this invention is only used as example rather than as restriction.
Input unit 507 is used to receive the input of signal, and receives the keyword of user's input.Input unit 507 can
Including touch panel and other input equipments.Touch panel collects the touch operation of user on it or nearby and (for example uses
Family uses the operations of any suitable object or attachment on touch panel or near touch panel such as finger, stylus), and root
According to the corresponding attachment device of preset driven by program；Other input equipments can include but is not limited to physical keyboard, function
One of key (such as broadcasting control button, switch key etc.), trace ball, mouse, operating stick etc. are a variety of.Display unit
509 can be used for showing the information of user's input or be supplied to the information of user and the various menus of computer equipment.Display is single
The forms such as liquid crystal display, Organic Light Emitting Diode can be used in member 509.Processor 503 is the control centre of computer equipment, benefit
With the various pieces of various interfaces and the entire computer of connection, by running or executing the software being stored in memory 505
Program and/or module, and the data being stored in memory are called, perform various functions and handle data.
In one embodiment, equipment includes one or more processors 503, and one or more memories 505, and one
A or multiple application programs 501.Wherein one or more of application programs 501 are stored in memory 505 and are configured
To be executed by one or more of processors 503, one or more of application programs 501 are configured to carry out the above implementation
Service inquiry method described in example.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, which can store in a computer-readable storage medium
In matter, storage medium may include memory, disk or CD etc..
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
It should be understood that each functional unit in various embodiments of the present invention can be integrated in a processing module,
It can be physically existed alone, can also be integrated in two or more units in a module with each unit.It is above-mentioned integrated
Module both can take the form of hardware realization, can also be realized in the form of software function module.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of service inquiry method characterized by comprising
Read the search text for service inquiry of user's input；
The participle in described search text is extracted, participle group is obtained according to the participle of extraction；
Semantic analysis is carried out using each participle of the semantic analysis to the participle group, determines the inspection of described search text
Rope condition；
Target service data, target service described in Xiang Suoshu user feedback are extracted from data cube according to the search condition
Data.
2. the method according to claim 1, wherein the search condition include retrieval target service object with
And the qualifications of the target service object；It is described that language is carried out using each participle of the semantic analysis to the participle group
Justice analysis, determines the search condition of described search text, extracts target industry from data cube according to the search condition
Business data, comprising:
Semantic analysis is carried out to each participle, obtains the corresponding semanteme of each participle；
By analyzing corresponding semantic and described search text the sentence structure of all participles, the target service pair is determined
As the qualifications with the target service object；
Target industry is extracted from data cube according to the qualifications of the target service object and the target service object
Business data.
3. according to the method described in claim 2, it is characterized in that, the data cube is determined according to following manner:
Obtain the business object of multiple business and the qualifications of each business object；
Using the business object of the multiple business as the first index condition, the qualifications of the business object are as the second rope
Draw condition, according to the first index condition and the second index condition determine the data cube number of dimensions and
The retrieval information of each dimension；Wherein, the second index condition determines one or more dimension, the first index condition
Determine a dimension；
The data cube is determined according to the retrieval information of the number of dimensions and each dimension.
4. according to the method described in claim 3, it is characterized in that, described according to the target service object and the target industry
The qualifications of business object extract target service data from data cube, comprising:
The first dimension letter is filtered out from the first index condition of the data cube according to the target service object
Breath；In the data cube, first dimensional information corresponds to multiple business datums, and each business datum corresponds to multiple limits
Fixed condition；
According to the qualifications of the target service object from the corresponding the multiple business datum of first dimensional information
Filter out the target service data.
5. according to the method described in claim 4, it is characterized in that, the qualifications of the target service object are multiple；Institute
It states and is sieved from the corresponding the multiple business datum of first dimensional information according to the qualifications of the target service object
Select the target service data, comprising:
Execution n times are chosen one or more qualifications from the multiple qualifications and are combined, and obtain after combination every time
One condition set；Wherein, n is the integer greater than 1；
A mesh is filtered out from the corresponding the multiple business datum of first dimensional information according to each condition set respectively
Business datum is marked, multiple target service data are obtained；
It is described to target service data described in the user feedback, comprising:
Priority ranking is carried out to the multiple target service data according to the qualifications in the condition set；
Multiple target service data to after user feedback sequence.
6. according to the method described in claim 5, it is characterized in that, the qualifications according in the condition set are to described
Multiple target service data carry out priority ranking, comprising:
Obtain the priority of each qualifications in each condition set；The priority of each qualifications by system according to
Preset rules determine；
The priority of the qualifications in each condition set is compared respectively, according to the priority ranking of qualifications
Priority ranking is carried out to the target service data.
7. the method according to claim 1, wherein it is described using semantic analysis to each of the participle group
A participle carries out semantic analysis, determines the search condition of described search text, comprising:
Semantic analysis is carried out to each participle, the keyword of described search text is filtered out according to the semanteme of each participle,
The search condition of described search text is determined according to the keyword.
8. a kind of service inquiry device characterized by comprising
Read module, for reading the search text for service inquiry of user's input；
Extraction module obtains participle group according to the participle of extraction for extracting the participle in described search text；
Module is obtained, for carrying out semantic analysis using each participle of the semantic analysis to the participle group, determines institute
State the search condition of search text；
Feedback module, for extracting target service data from data cube according to the search condition, Xiang Suoshu user is anti-
Present the target service data.
9. a kind of storage medium, which is characterized in that be stored thereon with computer program；The computer program is suitable for by processor
Service inquiry method described in any one of loading and execute the claims 1 to 7.
10. a kind of computer equipment, characterized in that it comprises:
One or more processors；
Memory；
One or more application program, wherein one or more of application programs are stored in the memory and are configured
To be executed by one or more of processors, one or more of application programs are configured to carry out according to claim 1
To service inquiry method described in any one of 7.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910506767.4A CN110347788A (en) | 2019-06-12 | 2019-06-12 | Service inquiry method, apparatus and storage medium, computer equipment |
| PCT/CN2019/103032 WO2020248378A1 (en) | 2019-06-12 | 2019-08-28 | Service query method and apparatus, and storage medium and computer device |
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| CN201910506767.4A CN110347788A (en) | 2019-06-12 | 2019-06-12 | Service inquiry method, apparatus and storage medium, computer equipment |
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| CN111143661A (en) * | 2019-12-18 | 2020-05-12 | 深圳易伙科技有限责任公司 | Object-oriented semantic retrieval method and device |
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| CN112667904A (en) * | 2020-12-31 | 2021-04-16 | 深圳追一科技有限公司 | Text processing method and device, computer equipment and storage medium |
| CN114222000B (en) * | 2021-12-13 | 2024-02-02 | 中国平安财产保险股份有限公司 | Information pushing method, device, computer equipment and storage medium |
| CN115563356B (en) * | 2022-09-30 | 2023-07-18 | 上海柯林布瑞信息技术有限公司 | Method and device for dynamically collecting and inquiring system interaction information based on monitoring service |
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