CN109325599A - A kind of data processing method, server and computer-readable medium - Google Patents
A kind of data processing method, server and computer-readable medium Download PDFInfo
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- CN109325599A CN109325599A CN201810925458.6A CN201810925458A CN109325599A CN 109325599 A CN109325599 A CN 109325599A CN 201810925458 A CN201810925458 A CN 201810925458A CN 109325599 A CN109325599 A CN 109325599A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
Abstract
The embodiment of the invention discloses a kind of data processing method, server and computer readable storage mediums, wherein this method comprises: classifying to the AI service data in knowledge base, obtains multiple cell datas；The data acquisition request that terminal is sent is received, the data acquisition request carries Data Identification；The corresponding cell data of the Data Identification is sent to the terminal.In this way, the knowledge storage capacity of terminal can effectively be expanded.
Description
Technical field
The present invention relates to field of artificial intelligence more particularly to a kind of data processing method, server and computer can
Read medium.
Background technique
With the development of artificial intelligence (Artificial Intelligence, AI), artificial intelligence service platform or people
Work intelligent robot has occurred gradually over each application scenarios.Artificial intelligence service platform or artificial intelligence robot can be with
The similar mode of human intelligence is made a response, and the reaction made depends on artificial intelligence service platform or artificial intelligence machine
The knowledge base run in people, the capacity of knowledge base determine the intelligent journey of artificial intelligence service platform or artificial intelligence robot
Degree.Therefore, the technical issues of capacity of knowledge base is current urgent need to resolve how is effectively improved.
Summary of the invention
The embodiment of the present invention provides a kind of according to processing method, server and computer-readable medium, can effectively expand terminal
Knowledge storage capacity.
In a first aspect, the embodiment of the invention provides a kind of data processing methods, comprising:
Classify to the artificial intelligence AI service data in knowledge base, obtains multiple cell datas；
The data acquisition request that terminal is sent is received, the data acquisition request carries Data Identification；
The corresponding cell data of the Data Identification is sent to the terminal.
Further, the AI service data in knowledge base is classified, and obtains multiple cell datas, comprising:
According to industry belonging to the AI service data, the AI service data is divided, obtains multiple industry classes
Other database, different industries category database include being subordinated to the AI service data of different industries；
According to the application scenarios of the AI service data, to the AI service data in each category of employment database into
Row divides, and obtains multiple cell datas, the application scenarios of different units data are different.
Further, the application scenarios according to the AI service data, in each category of employment database
AI service data divided, after obtaining multiple cell datas, further includes:
Obtain the temperature index of each cell data；
Each cell data is ranked up according to the sequence of the temperature index；
Cell data after showing sequence in each category of employment database.
Further, the AI service data in knowledge base is classified, and after obtaining multiple cell datas, is also wrapped
It includes:
For each cell data, multiple description informations that the cell data is included are obtained；
Obtain the first similarity between description information described in every two；
The description information for being greater than preset ratio threshold value to first similarity is handled.
Further, the description information for being greater than preset ratio threshold value to first similarity is handled, comprising:
The description information that first similarity is greater than preset ratio threshold value is merged；Or
First similarity is greater than the lower description information of temperature index in the description information of preset ratio threshold value to delete
It removes.
Further, first similarity obtained between description information described in every two, comprising:
By the quantity of identical characters in description information described in every two divided by description any in description information described in every two
The character quantity summation of information obtains first similarity between description information described in every two.
It is further, described that the corresponding cell data of the Data Identification is sent to before the terminal, further includes:
The target data that the terminal is sent is received, the target data is stored in the local storage of the terminal；
Obtain the second similarity between target data cell data corresponding with the Data Identification；
Second similarity is sent to the terminal, so that the terminal is based on second similarity and determines whether
Receive the corresponding cell data of the Data Identification.
Second aspect, the embodiment of the invention provides a kind of server, which includes for executing above-mentioned first party
The unit of the method in face.
The third aspect, the embodiment of the invention provides another servers, including processor, input equipment, output equipment
And memory, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is for storing
Server is supported to execute the computer program of the above method, the computer program includes program instruction, and the processor is matched
It sets for calling described program to instruct, the method for executing above-mentioned first aspect.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage medium, the computer storage medium
It is stored with computer program, the computer program includes program instruction, and described program instruction makes institute when being executed by a processor
State the method that processor executes above-mentioned first aspect.
The embodiment of the present invention obtains multiple units by classifying to the artificial intelligence AI service data in knowledge base
Data, and the data acquisition request of the carrying Data Identification of terminal transmission is received, and by the corresponding unit of the Data Identification
Data are sent to the terminal, effectively realize the expansion to terminal knowledge storage capacity.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of schematic flow diagram of data processing method provided in an embodiment of the present invention；
Fig. 2 is the schematic flow diagram of another data processing method provided in an embodiment of the present invention；
Fig. 3 is the schematic flow diagram of another data processing method provided in an embodiment of the present invention；
Fig. 4 is a kind of schematic block diagram of server provided in an embodiment of the present invention；
Fig. 5 is another server schematic block diagram provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that the term used in this description of the invention is merely for the sake of for the purpose of describing particular embodiments
And it is not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless up and down
Text clearly indicates other situations, and otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
Data processing method provided in an embodiment of the present invention can be executed by a kind of server, in certain embodiments, institute
Communication connection can be established with artificial intelligence service platform or artificial intelligence robot by stating server, to carry out two-way communication.?
In some embodiments, the server be may be mounted on the artificial intelligence robot, in certain embodiments, the service
Device can be spatially independently of the artificial intelligence robot.In certain embodiments, the server may include storage
The knowledge base of a large amount of knowledge includes a large amount of AI service data in the knowledge base, so that terminal user is from the knowledge base
Obtain the knowledge needed for itself.Data processing method provided in an embodiment of the present invention is schematically illustrated below.
In the embodiment of the present invention, the server can classify to the AI service data in the knowledge base, obtain more
A cell data, terminal can send the data acquisition request for carrying Data Identification, institute according to self-demand to the server
Server is stated after the data acquisition request for receiving terminal transmission, it can be according to the number carried in the data acquisition request
According to mark, cell data corresponding with the Data Identification is chosen from the knowledge base, and the Data Identification is corresponding
Cell data is sent to the terminal.In this way, the embodiment of the present invention can effectively expand the knowledge storage capacity of terminal.
The data processing method proposed with reference to the accompanying drawing to the embodiment of the present invention schematically illustrates.
Referring to Figure 1, Fig. 1 is a kind of schematic flow diagram of data processing method provided in an embodiment of the present invention, such as Fig. 1 institute
Show, this method can be executed by server, and the specific explanations of the server are as previously mentioned, details are not described herein again.Specifically, originally
Described method includes following steps for inventive embodiments.
S101: classify to the AI service data in knowledge base, obtain multiple cell datas.
In the embodiment of the present invention, server can classify to the AI service data in knowledge base, obtain multiple units
Data.It wherein, may include the AI service data of a large amount of various industries in the knowledge base, it is in certain embodiments, described
AI service data may include the data such as knowledge relevant to various industries or question and answer information, which may include problem
The answer content of information and the problem information.
In one embodiment, the server can the industry according to belonging to the AI service data, to the AI take
Business data are divided, and multiple category of employment databases are obtained, wherein the different industries category database includes being subordinated to not
AI service data of the same trade.In specific implementation process, the server can first classify to industry, and then judgement is known
Know industry belonging to the AI service data in library, according to industry belonging to the AI service data, to the AI service data into
Row divides, and obtains multiple category of employment databases.In certain embodiments, the server can be marked according to trade classification country
Standard divides category of employment, can also be divided according to customized standard to category of employment, the embodiment of the present invention is to row
The division mode of industry classification is not specifically limited.
It can specifically illustrate, it is assumed that trade division is n different according to trade classification national standard by the server
Category of employment, if the AI service data in the knowledge base has m, the server be can detecte in the knowledge base
M AI service data belonging to category of employment, and according to AI service data each in the knowledge base detected
Category of employment divides the m AI service data, obtains n category of employment database.
Illustratively, if the AI service data for including in knowledge base belongs to medical industries, server can be taken AI
Business data are divided into the medical industries classification, in certain embodiments, if the AI service data for including in knowledge base belongs to
Space flight industry, then AI service data can be divided into the space flight category of employment by server, and the embodiment of the present invention is to industry class
It is not specifically limited.
In one embodiment, the server can be according to the application of the AI service data in various industries classification
Scene divides the AI service data in each category of employment database, obtains multiple cell datas, different units
The application scenarios of data are different, as the corresponding different application scenarios of electric business industry may include: it is pre-sales, after sale, logistics,
Any one or more application scenarios such as invoice, order, quality, activity.
In one embodiment, the server is in the application scenarios according to the AI service data, to each row
AI service data in industry category database is divided, after obtaining multiple cell datas, available each unit
The temperature index of data, and each cell data is ranked up according to the sequence of the temperature index, thus
Cell data after showing sequence in each category of employment database.
In certain embodiments, the temperature index of the description information can refer to the frequency that the description information is searched for
Rate, in certain embodiments, the temperature index of the description information can refer to the display frequency of the description information, in certain realities
It applies in example, the temperature index of the description information can refer to the frequency that the description information is obtained by terminal, the embodiment of the present invention
The method of determination of the temperature index of the description information is not specifically limited.
In one embodiment, each unit data are the minimum lists for obtaining data in the knowledge base for terminal
Position, in certain embodiments, the knowledge base can be by the sides marked the price each unit data in every profession and trade classification
Formula shows each unit data after the marked price in the various industries category database of the knowledge base, to be formed
One terminal user can freely buy the unit in the knowledge base in every profession and trade category database according to oneself affiliated industry
Data.
In the specific implementation, terminal can show the e-sourcing of multiple cell datas and each unit data, terminal is used
When family needs to buy the object element data in above-mentioned multiple cell datas, object element data acquisition can be sent to terminal and asked
It asks, wherein object element data are any cell data in above-mentioned multiple cell datas.Terminal can respond the object element
Data acquisition request sends data acquisition request to server, and data acquisition request carries Data Identification.Server can respond
The data acquisition request generates order information, and order information may include the full amount of Data Identification and e-sourcing, server
Order information is sent to terminal, and then terminal can show the order information.Terminal user inputs account identification in the terminal
Later, account identification can be sent to server by terminal, and it is above-mentioned that server, which will identify amount in corresponding account the account,
The e-sourcing of full amount is transferred in the interlock account of server.
In one embodiment, server can be directed to each cell data, and obtaining the cell data is included
Multiple description informations, and obtain the first similarity between description information described in every two, and to first similarity
Description information greater than preset ratio threshold value merges or delete processing.
S102: receiving the data acquisition request that terminal is sent, and the data acquisition request carries Data Identification.
In the embodiment of the present invention, server can receive the data acquisition request of terminal transmission, the data acquisition request
Carry Data Identification.In one embodiment, the Data Identification is used to indicate corresponding in some category of employment database
Some cell data.In specific implementation process, user can send to the knowledge base of server according to their own needs and carry number
According to the data acquisition request of mark, therefore, the server can receive the data acquisition request that the terminal is sent.
S103: the corresponding cell data of the Data Identification is sent to the terminal.
In the embodiment of the present invention, the corresponding cell data of the Data Identification can be sent to the terminal by server.
In one embodiment, the user of terminal side can be according to the demand of oneself affiliated industry, by terminal to service
The knowledge base of device sends the data acquisition request for carrying Data Identification, when the server receives the data acquisition request
When, the server can be according to the Data Identification carried in the data acquisition request, inquiry and institute from the knowledge base
State the corresponding category of employment database of data acquisition request, and according to the Data Identification, from the data acquisition request
Cell data corresponding with the data acquisition request is inquired in corresponding category of employment database.
In one embodiment, the user of terminal side can be sent by the knowledge base of terminal to server and carry data mark
Know and the data acquisition request of target data, server carry the data acquisition request of Data Identification and target data receiving
Later, cell data corresponding with the Data Identification can be inquired from the knowledge base according to the Data Identification, and
The cell data corresponding with the Data Identification that inquiry obtains is compared with target data, calculates the second phase between the two
It is sent to terminal like degree, and by the second similarity, so that the user of terminal or terminal is confirmed whether to continue to obtain and the data mark
Know corresponding data information.
In one embodiment, the user of terminal side can be sent by the knowledge base of terminal to server and carry data mark
The data acquisition request of knowledge, server, can be according to the numbers after receiving the data acquisition request for carrying Data Identification
Inquire cell data corresponding with the Data Identification from the knowledge base according to mark, and inquiry is obtained with the data
It identifies corresponding cell data and is sent to the terminal.Terminal after getting cell data corresponding with the Data Identification,
The cell data and the target data in the database for being stored in terminal can be compared, calculate the second phase between the two
Like degree, and it is confirmed whether to merge or delete the cell data corresponding with the data acquisition request got according to the second similarity
Information.
In the embodiment of the present invention, server can classify to the AI service data in knowledge base, obtain multiple units
Data, and the data acquisition request of the carrying Data Identification of terminal transmission is received, and by the corresponding unit of the Data Identification
Data are sent to the terminal.In this way, the expansion to terminal knowledge storage capacity can be effectively realized.
Referring to fig. 2, Fig. 2 is the schematic flow diagram of another data processing method provided in an embodiment of the present invention, such as Fig. 2 institute
Show, this method can be executed by server, and the specific explanations of the server are as previously mentioned, details are not described herein again.The present invention is implemented
The difference of example and embodiment described in above-mentioned Fig. 1 is that the embodiment of the present invention is classified to the AI service data in knowledge base
The detailed of implementation process schematically illustrate.Specifically, described method includes following steps for the embodiment of the present invention.
S201: classify to the AI service data in knowledge base, obtain multiple cell datas.
In the embodiment of the present invention, server can classify to the AI service data in knowledge base, obtain multiple units
Data, specific implementation process and illustration are as previously mentioned, details are not described herein again.
S202: it is directed to each cell data, obtains multiple description informations that the cell data is included.
In the embodiment of the present invention, server can be for each unit in various industries categorical data in the knowledge base
Data obtain multiple description informations that each cell data is included.In one embodiment, the description information can be with
It is the question and answer information for describing the cell data, in certain embodiments, the description information is also possible to for describing
The text information of the cell data.The embodiment of the present invention is not specifically limited the description information.
S203: the first similarity between description information described in every two is obtained.
In the embodiment of the present invention, server can be believed according to multiple descriptions that each unit data got are included
Breath calculates the first similarity between description information described in every two.
In one embodiment, in description information described in the available every two of the server identical characters quantity,
And the character quantity summation of any description information in description information described in every two is obtained, and by description information described in every two
The quantity of middle identical characters obtains every two divided by the character quantity summation of description information any in description information described in every two
First similarity between the description information.
It can specifically illustrate, it is assumed that the quantity that the server gets identical characters in two description informations is
A, and obtain the character quantity summation b of any description information in described two description informations, and a <b, then the service
Device can believe the quantity a of identical characters in the two described description informations divided by description any in description information described in the two
The character quantity summation b of breath, obtaining first similarity between description information described in every two is a/b.
In one embodiment, the server can use other preset similarity algorithms, calculate described in every two
First similarity between description information, the embodiment of the present invention do not do specific limit to the calculation of first similarity
It is fixed.
S204: the description information for being greater than preset ratio threshold value to first similarity is handled.
In the embodiment of the present invention, server can to first similarity be greater than preset ratio threshold value description information into
Row processing.In specific implementation process, the server can be similar according to described the first of the every two description information got
Degree detects the description information for being greater than preset ratio threshold value in the description information with the presence or absence of first similarity, if inspection
It surveys in result there are the description information that first similarity is greater than preset ratio threshold value, then institute is greater than to first similarity
The description information for stating preset ratio threshold value is handled.
In one embodiment, the server is in the description for being greater than the preset ratio threshold value to first similarity
When information is handled, the description information that first similarity is greater than preset ratio threshold value can be merged；Or it will
First similarity is greater than the lower description information of temperature index in the description information of preset ratio threshold value and deletes.Wherein, institute
The explanation of temperature index is stated as previously mentioned, details are not described herein again.
In one embodiment, if detecting that there are first similarities to be less than or equal to institute in the description information
The description information of preset ratio threshold value is stated, then is believed the description that first similarity is less than or equal to the preset ratio threshold value
Breath creates in corresponding category of employment database.
S205: receiving the data acquisition request that terminal is sent, and the data acquisition request carries Data Identification.
In the embodiment of the present invention, server can receive the data acquisition request of terminal transmission, the data acquisition request
Carry Data Identification.Specific implementation process is as previously mentioned, details are not described herein again.
S206: the corresponding cell data of the Data Identification is sent to the terminal.
In the embodiment of the present invention, server is inquired from the knowledge base corresponding according to the Data Identification got
Corresponding cell data in category of employment data, and the cell data corresponding with the Data Identification inquired is sent to
The terminal.Specific implementation process is as previously mentioned, details are not described herein again.
In the embodiment of the present invention, server can classify to the AI service data in knowledge base, obtain multiple units
Data, and it is directed to each cell data, obtain multiple description informations that the cell data is included.The server can
To obtain the first similarity between description information described in every two, and preset ratio threshold value is greater than to first similarity
Description information merges or delete processing.When the server receives the data acquisition of the carrying Data Identification of terminal transmission
When request, the corresponding cell data of the Data Identification can be sent to the terminal by the server.In this way,
The expansion to terminal knowledge storage capacity can be effectively realized, the redundancy of data information in knowledge base is reduced.
It is the schematic flow diagram of another data processing method provided in an embodiment of the present invention referring to Fig. 3, Fig. 3, such as Fig. 3 institute
Show, this method can be executed by server, and the specific explanations of the server are as previously mentioned, details are not described herein again.The present invention is implemented
The difference of example and embodiment described in above-mentioned Fig. 2 is that the embodiment of the present invention is at the target data for receiving terminal transmission
The implementation process of reason is described in detail.Specifically, described method includes following steps for the embodiment of the present invention.
S301: classify to the AI service data in knowledge base, obtain multiple cell datas.
In the embodiment of the present invention, server can classify to the AI service data in knowledge base, obtain multiple units
Data.Specific implementation process and illustration are as previously mentioned, details are not described herein again.
S302: the data acquisition request of carrying Data Identification and target data that terminal is sent, the target data are received
It is stored in the local storage of the terminal.
In the embodiment of the present invention, server can receive the carrying Data Identification of terminal transmission and the data of target data obtain
Request is taken, the target data is stored in the local storage of the terminal.In some embodiments, the target data can
Be the terminal local storage in the data information relevant to the Data Identification that stores；In certain embodiments,
The target data can be all data informations stored in the local storage of the terminal, and the embodiment of the present invention is to described
Target data is not specifically limited.
S303: the second similarity between target data cell data corresponding with the Data Identification is obtained.
In the embodiment of the present invention, the available target data of server cell data corresponding with the Data Identification
Between the second similarity.
In one embodiment, the server can according to the Data Identification carried in the data acquisition request of acquisition,
Cell data corresponding with the Data Identification is inquired from the knowledge base, and calculates the institute that the terminal got is sent
It states target data and inquires the second similarity between cell data corresponding with the Data Identification.
In one embodiment, the available target data of the server and inquiring with the Data Identification
The quantity of identical characters in corresponding cell data, and obtain the target data and inquiring with the Data Identification pair
The character quantity summation of any description information in the cell data answered, and by the target data and inquiring with the data
The quantity of identical characters in corresponding cell data is identified divided by the target data and is inquired corresponding with the Data Identification
Cell data in any description information character quantity summation, obtain the target data and inquiring with the data mark
Know second similarity between corresponding cell data.Concrete example explanation with it is aforementioned similar, details are not described herein again.
In one embodiment, the server can use other preset similarity algorithms, calculate the number of targets
According to second similarity between the cell data corresponding with the Data Identification that inquires, the embodiment of the present invention is to institute
The calculation for stating the second similarity is not specifically limited.
S304: being sent to the terminal for second similarity, so that the terminal is true based on second similarity
It is fixed whether to receive the corresponding cell data of the Data Identification.
In the embodiment of the present invention, second similarity can be sent to the terminal by server, so that the terminal
Determine whether to receive the corresponding cell data of the Data Identification based on second similarity.
In one embodiment, second similarity can be sent to the terminal by server, so that the terminal
After receiving second similarity, second similarity is shown in the user interface of the terminal, so as to
Second similarity is checked at family, and similar chooses whether to continue to obtain from the knowledge base of the server according to described second
Requested data.
In one embodiment, second similarity can be sent to the terminal by the server, so that described
Terminal automatically carries out second similarity and the preset similarity threshold of terminal after receiving second similarity
Compare, judge whether second similarity is greater than the preset similarity threshold, if the terminal judges described
Two similarities are greater than the preset similarity threshold, then can be automatically fed to the server and ignore instruction, to notify to take
Business device is abandoned obtaining requested data information.If it is described pre- that the terminal judges that second similarity is less than or equal to
If similarity threshold, then can be automatically fed to server confirmation instruction, be requested with notifying server confirmation to obtain
Data information.
S305: if the confirmation instruction that terminal is sent for second similarity is got, by the Data Identification
Corresponding cell data is sent to the terminal.
In the embodiment of the present invention, server is after being sent to the terminal for second similarity, if got
The corresponding cell data of the Data Identification, then can be sent to by the confirmation instruction that terminal is sent for second similarity
The terminal.
In the embodiment of the present invention, server can classify to the AI service data in knowledge base, obtain multiple units
Data can be with when the server receives the data acquisition request for carrying Data Identification and target data of terminal transmission
The second similarity between target data cell data corresponding with the Data Identification is obtained, and similar by described second
Degree is sent to the terminal, if the confirmation instruction that terminal is sent for second similarity is got, by the data
It identifies corresponding cell data and is sent to the terminal.In this way, it can effectively realize to terminal knowledge storage capacity
Expand, avoid terminal and obtain duplicate data information, improves the validity that terminal obtains data information, improve user's body
It tests.
The embodiment of the invention also provides a kind of server, the server is for executing aforementioned described in any item methods
Unit.Specifically, referring to fig. 4, Fig. 4 is a kind of schematic block diagram of server provided in an embodiment of the present invention.The clothes of the present embodiment
Business device includes: taxon 401, receiving unit 402, transmission unit 403.
Taxon 401 obtains multiple unit numbers for classifying to the artificial intelligence AI service data in knowledge base
According to；
Receiving unit 402, for receiving the data acquisition request of terminal transmission, the data acquisition request carries data mark
Know；
Transmission unit 403, for the corresponding cell data of the Data Identification to be sent to the terminal.
Further, the taxon 401 classifies to the AI service data in knowledge base, obtains multiple unit numbers
According to when, be specifically used for:
According to industry belonging to the AI service data, the AI service data is divided, obtains multiple industry classes
Other database, different industries category database include being subordinated to the AI service data of different industries；
According to the application scenarios of the AI service data, to the AI service data in each category of employment database into
Row divides, and obtains multiple cell datas, the application scenarios of different units data are different.
Further, the taxon 401 is according to the application scenarios of the AI service data, to each industry class
AI service data in other database is divided, and after obtaining multiple cell datas, is also used to:
Obtain the temperature index of each cell data；
Each cell data is ranked up according to the sequence of the temperature index；
Cell data after showing sequence in each category of employment database.
Further, the taxon 401 classifies to the AI service data in knowledge base, obtains multiple unit numbers
According to later, it is also used to:
For each cell data, multiple description informations that the cell data is included are obtained；
Obtain the first similarity between description information described in every two；
The description information for being greater than preset ratio threshold value to first similarity is handled.
Further, the taxon 401 to first similarity be greater than preset ratio threshold value description information into
When row processing, it is specifically used for:
The description information that first similarity is greater than preset ratio threshold value is merged；Or
First similarity is greater than the lower description information of temperature index in the description information of preset ratio threshold value to delete
It removes.
Further, when the taxon 401 obtains the first similarity between description information described in every two, specifically
For:
By the quantity of identical characters in description information described in every two divided by description any in description information described in every two
The character quantity summation of information obtains first similarity between description information described in every two.
Further, the transmission unit 403 by the corresponding cell data of the Data Identification be sent to the terminal it
Before, it is also used to:
The target data that the terminal is sent is received, the target data is stored in the local storage of the terminal；
Obtain the second similarity between target data cell data corresponding with the Data Identification；
Second similarity is sent to the terminal, so that the terminal is based on second similarity and determines whether
Receive the corresponding cell data of the Data Identification.
In the embodiment of the present invention, server can classify to the AI service data in knowledge base, obtain multiple units
Data, and the data acquisition request of the carrying Data Identification of terminal transmission is received, and by the corresponding unit of the Data Identification
Data are sent to the terminal.In this way, the expansion to knowledge storage capacity is realized, the storage capacity that expands knowledge is improved
Validity.
It is another server schematic block diagram provided in an embodiment of the present invention referring to Fig. 5, Fig. 5.This implementation as shown in the figure
Server in example may include: one or more processors 501；One or more input equipments 502, one or more output
Equipment 503 and memory 504.Above-mentioned processor 501, input equipment 502, output equipment 503 and memory 504 pass through bus
505 connections.Memory 504 is for storing computer program, and the computer program includes program instruction, and processor 501 is used for
Execute the program instruction that memory 504 stores.Wherein, processor 501 is configured for calling described program instruction execution:
Classify to the artificial intelligence AI service data in knowledge base, obtains multiple cell datas；
The data acquisition request that terminal is sent is received, the data acquisition request carries Data Identification；
The corresponding cell data of the Data Identification is sent to the terminal.
Further, the processor 501 classifies to the AI service data in knowledge base, obtains multiple cell datas
When, it is specifically used for:
According to industry belonging to the AI service data, the AI service data is divided, obtains multiple industry classes
Other database, different industries category database include being subordinated to the AI service data of different industries；
According to the application scenarios of the AI service data, to the AI service data in each category of employment database into
Row divides, and obtains multiple cell datas, the application scenarios of different units data are different.
Further, the processor 501 is according to the application scenarios of the AI service data, to each category of employment
AI service data in database is divided, and after obtaining multiple cell datas, is also used to:
Obtain the temperature index of each cell data；
Each cell data is ranked up according to the sequence of the temperature index；
Cell data after showing sequence in each category of employment database.
Further, the processor 501 classifies to the AI service data in knowledge base, obtains multiple cell datas
Later, it is also used to:
For each cell data, multiple description informations that the cell data is included are obtained；
Obtain the first similarity between description information described in every two；
The description information for being greater than preset ratio threshold value to first similarity is handled.
Further, the description information that the processor 501 is greater than preset ratio threshold value to first similarity carries out
When processing, it is specifically used for:
The description information that first similarity is greater than preset ratio threshold value is merged；Or
First similarity is greater than the lower description information of temperature index in the description information of preset ratio threshold value to delete
It removes.
Further, it is specific to use when the processor 501 obtains the first similarity between description information described in every two
In:
By the quantity of identical characters in description information described in every two divided by description any in description information described in every two
The character quantity summation of information obtains first similarity between description information described in every two.
Further, before the corresponding cell data of the Data Identification is sent to the terminal by the processor 501,
It is also used to:
The target data that the terminal is sent is received, the target data is stored in the local storage of the terminal；
Obtain the second similarity between target data cell data corresponding with the Data Identification；
Second similarity is sent to the terminal, so that the terminal is based on second similarity and determines whether
Receive the corresponding cell data of the Data Identification.
In the embodiment of the present invention, server can classify to the AI service data in knowledge base, obtain multiple units
Data, and the data acquisition request of the carrying Data Identification of terminal transmission is received, and by the corresponding unit of the Data Identification
Data are sent to the terminal.In this way, the expansion to knowledge storage capacity is realized, the storage capacity that expands knowledge is improved
Validity.
It should be appreciated that in embodiments of the present invention, alleged processor 501 can be central processing unit (CenSral
Processing UniS, CPU), which can also be other general processors, digital signal processor (DigiSal
Signal Processor, DSP), specific integrated circuit (ApplicaSion Specific InSegraSed CircuiS,
ASIC), ready-made programmable gate array (Field-Programmable GaSe Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
Reason device is also possible to any conventional processor etc..
Input equipment 502 may include Trackpad, microphone etc., output equipment 503 may include display (LCD etc.),
Loudspeaker etc..
The memory 504 may include read-only memory and random access memory, and to processor 501 provide instruction and
Data.The a part of of memory 504 can also include nonvolatile RAM.For example, memory 504 can also be deposited
Store up the information of device type.
In the specific implementation, processor 501 described in the embodiment of the present invention, input equipment 502, output equipment 503 can
Execute reality described in embodiment of the method described in Fig. 1, Fig. 2 or Fig. 3 of data processing method provided in an embodiment of the present invention
Existing mode, also can be performed the implementation of server described in Fig. 4 or Fig. 5 of the embodiment of the present invention, details are not described herein.
A kind of computer readable storage medium is additionally provided in the embodiment of the present invention, the computer readable storage medium is deposited
Computer program is contained, the computer program is realized in embodiment corresponding to Fig. 1, Fig. 2 or Fig. 3 when being executed by processor and described
Control method, can also realize the server of embodiment corresponding to Fig. 4 or Fig. 5 of the present invention, details are not described herein.
The computer readable storage medium can be the internal storage unit of server described in aforementioned any embodiment,
Such as the hard disk or memory of server.The external storage that the computer readable storage medium is also possible to the server is set
Plug-in type hard disk that is standby, such as being equipped on the server, intelligent memory card (SmarS Media Card, SMC), secure digital
(Secure DigiSal, SD) card, flash card (Flash Card) etc..Further, the computer readable storage medium is also
Can both including the server internal storage unit and also including External memory equipment.The computer readable storage medium is used
Other programs and data needed for storing the computer program and the server.The computer readable storage medium
It can be also used for temporarily storing the data that has exported or will export.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware
With the interchangeability of software, each exemplary composition and step are generally described according to function in the above description.This
A little functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Specially
Industry technical staff can use different methods to achieve the described function each specific application, but this realization is not
It is considered as beyond the scope of this invention.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
The above, some embodiments only of the invention, but scope of protection of the present invention is not limited thereto, and it is any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of data processing method characterized by comprising
Classify to the artificial intelligence AI service data in knowledge base, obtains multiple cell datas；
The data acquisition request that terminal is sent is received, the data acquisition request carries Data Identification；
The corresponding cell data of the Data Identification is sent to the terminal.
2. the method according to claim 1, wherein the AI service data in knowledge base is classified,
Obtain multiple cell datas, comprising:
According to industry belonging to the AI service data, the AI service data is divided, obtains multiple category of employment numbers
According to library, different industries category database includes being subordinated to the AI service data of different industries；
According to the application scenarios of the AI service data, the AI service data in each category of employment database is drawn
Point, multiple cell datas are obtained, the application scenarios of different units data are different.
3. according to the method described in claim 2, it is characterized in that, the application scenarios according to the AI service data, right
AI service data in each category of employment database is divided, after obtaining multiple cell datas, further includes:
Obtain the temperature index of each cell data；
Each cell data is ranked up according to the sequence of the temperature index；
Cell data after showing sequence in each category of employment database.
4. the method according to claim 1, wherein the AI service data in knowledge base is classified,
After obtaining multiple cell datas, further includes:
For each cell data, multiple description informations that the cell data is included are obtained；
Obtain the first similarity between description information described in every two；
The description information for being greater than preset ratio threshold value to first similarity is handled.
5. according to the method described in claim 4, it is characterized in that, described be greater than preset ratio threshold value to first similarity
Description information handled, comprising:
The description information that first similarity is greater than preset ratio threshold value is merged；Or
First similarity is greater than the lower description information of temperature index in the description information of preset ratio threshold value to delete.
6. according to the method described in claim 4, it is characterized in that, first obtained between description information described in every two
Similarity, comprising:
By the quantity of identical characters in description information described in every two divided by description information any in description information described in every two
Character quantity summation, obtain first similarity between description information described in every two.
7. the method according to claim 1, wherein described send the corresponding cell data of the Data Identification
Before the terminal, further includes:
The target data that the terminal is sent is received, the target data is stored in the local storage of the terminal；
Obtain the second similarity between target data cell data corresponding with the Data Identification；
Second similarity is sent to the terminal, so that the terminal is based on second similarity and determines whether to receive
The corresponding cell data of the Data Identification.
8. a kind of server, which is characterized in that including for executing the method as described in any one of claim 1-7 claim
Unit.
9. a kind of server, which is characterized in that including processor, input equipment, output equipment and memory, the processor,
Input equipment, output equipment and memory are connected with each other, wherein the memory is for storing computer program, the calculating
Machine program includes program instruction, and the processor is configured for calling described program instruction, is executed as claim 1-7 is any
Method described in.
10. a kind of computer readable storage medium, which is characterized in that the computer storage medium is stored with computer program,
The computer program includes program instruction, and described program instruction makes the processor execute such as right when being executed by a processor
It is required that the described in any item methods of 1-7.
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