CN110119463A - Information processing method, device, equipment and storage medium - Google Patents
Information processing method, device, equipment and storage medium Download PDFInfo
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- CN110119463A CN110119463A CN201910269180.6A CN201910269180A CN110119463A CN 110119463 A CN110119463 A CN 110119463A CN 201910269180 A CN201910269180 A CN 201910269180A CN 110119463 A CN110119463 A CN 110119463A
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- 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
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Abstract
This application discloses a kind of information processing methods, device, equipment and storage medium, by receive user input inquiry request when, extract the query information for including in the inquiry request, the queried for items of user-association is determined based on the query information, pre-establish and extract in the associated knowledge mapping of the queried for items include the queried for items link information, and it finds in the link information and is exported with after the associated query result of the queried for items, to improve the processing speed of query information, so that user quickly obtains query result, improve customer experience.
Description
Technical field
This application involves field of computer technology, in particular to a kind of information processing method, device, equipment and storage are situated between
Matter.
Background technique
Knowledge mapping (Knowledge Graph) can simply be understood as more relational graph (Multi-relational
Graph).Figure is to be made of node and Bian Lai, but these figures usually only include a type of node and side, and more relational graphs one
As include a plurality of types of nodes and a plurality of types of sides.
In knowledge mapping, we usually express node in figure with entity, express the side in figure with relationship.Entity
Refer to that things in the real world such as people, place name, concept, drug, physical feeling etc., relationship are then used to express different entities
Between certain connection, for example it is upper eyelid etc. that XX hospital-" "-, which cuts double-edged eyelid project, cuts double-edged eyelid-" position "-,.Compare again
In a social networks map, we can both have the entity of " people ", also may include " company " entity.Between people and people
Relationship can be " friend ", be also possible to the relationship of " working together ".Relationship between people and company can be incumbent duty or once hold a post
Relationship.Knowledge mapping describes concept in objective world, entity and its relationship in the form of structuring, by the information table of internet
Reach the form closer to the human cognitive world, provides one kind and preferably organize, manage and understand internet mass information
Ability.
From searching chat robots, big data air control, investment securities, intelligent medical, adaptive education, recommender system,
Knowledge mapping is all used.But since the structure of existing knowledge mapping compares flattening, the structure of flattening is difficult to play
The power of knowledge mapping, therefore the practical effect of existing knowledge mapping inquiry system is bad.
Summary of the invention
The application's is designed to provide a kind of information processing method, device, equipment and storage medium, to promote inquiry letter
The processing speed of breath, so that user quickly obtains query result.
In a first aspect, the embodiment of the present application provides a kind of information processing method, comprising:
When receiving the inquiry request of user's input, the query information for including in the inquiry request is extracted；
The queried for items of user-association is determined based on the query information；
Pre-establish and extract in the associated knowledge mapping of the queried for items include the queried for items link
Information, and find in the link information and exported with after the associated query result of the queried for items.
In one possible implementation, in the above method provided by the embodiments of the present application, structure in the following way
It builds and the associated knowledge mapping of the queried for items:
It receives to stored items, determines the attribute classification and attribute tags to stored items；
Based on the attribute tags to stored items, the preset and associated knowledge base ternary of the attribute classification
Group and preset attribute tags type determine the link information and nodal information to stored items；
Based on described to stored items, and it is somebody's turn to do link information, the nodal information to stored items, known described in generation
Know map, and is stored in Neo4j chart database；
Wherein, the knowledge base triple includes between two knowledge mapping entities and described two knowledge mapping entities
Relation on attributes.
In one possible implementation, in the above method provided by the embodiments of the present application, if the inquiry request
For text information, the queried for items that user-association is determined based on the query information, comprising:
After the text information for receiving user's input, word segmentation processing is carried out to the text information, obtains feature word set；
Based on pre-stored information bank, the Feature Words for extracting and being contained in described information storehouse are concentrated in the Feature Words,
Obtain the queried for items.
In one possible implementation, in the above method provided by the embodiments of the present application, if the inquiry request
For voice messaging, the queried for items that user-association is determined based on the query information, comprising:
After the voice messaging for receiving user's input, speech recognition is carried out to the voice messaging, obtains feature word set；
Based on pre-stored information bank, the Feature Words for extracting and being contained in described information storehouse are concentrated in the Feature Words,
Obtain the queried for items.
In one possible implementation, described to be looked into based on described in the above method provided by the embodiments of the present application
After asking the queried for items that information determines user-association, the method also includes:
Determine the attribute tags of the queried for items；
It is described to be extracted with the associated knowledge mapping of the queried for items comprising the queried for items what is pre-established
Link information, and find in the link information and exported with after the associated query result of the queried for items, comprising:
According to the corresponding attribute tags of each of the links in the attribute tags of the queried for items and the knowledge mapping, really
Link belonging to the fixed queried for items；
It is begun stepping through according to setting sequence from first node on the chain road belonging to the queried for items, looks for and looked into described
The corresponding key node of inquiry project；
The content at described other nodes connecting with the key node is extracted, is carried out as the query result defeated
Out.
Second aspect, the embodiment of the present application provide a kind of information processing unit, comprising:
Receiving module extracts the inquiry for including in the inquiry request when for receiving the inquiry request of user's input
Information；
Determining module, for determining the queried for items of user-association based on the query information；
Searching module, for being looked into extraction in the associated knowledge mapping of the queried for items comprising described what is pre-established
The link information of inquiry project, and find in the link information with carried out after the associated query result of the queried for items it is defeated
Out.
In one possible implementation, in above-mentioned apparatus provided by the embodiments of the present application, structure in the following way
It builds and the associated knowledge mapping of the queried for items:
It receives to stored items, determines the attribute classification and attribute tags to stored items；
Based on the attribute tags to stored items, the preset and associated knowledge base ternary of the attribute classification
Group and preset attribute tags type determine the link information and nodal information to stored items；
Based on described to stored items, and it is somebody's turn to do link information, the nodal information to stored items, known described in generation
Know map, and is stored in Neo4j chart database；
Wherein, the knowledge base triple includes between two knowledge mapping entities and described two knowledge mapping entities
Relation on attributes.
In one possible implementation, in above-mentioned apparatus provided by the embodiments of the present application, if the inquiry request
For text information, the determining module carries out the text information after receiving the text information that user inputs
Word segmentation processing obtains feature word set；Based on pre-stored information bank, extraction is concentrated to be contained in the information in the Feature Words
Feature Words in library obtain the queried for items.
In one possible implementation, in above-mentioned apparatus provided by the embodiments of the present application, if the inquiry request
For voice messaging, the determining module carries out the voice messaging after receiving the voice messaging that user inputs
Speech recognition obtains feature word set；Based on pre-stored information bank, extraction is concentrated to be contained in the information in the Feature Words
Feature Words in library obtain the queried for items.
In one possible implementation, in above-mentioned apparatus provided by the embodiments of the present application, the determining module, also
After queried for items for determining user-association based on the query information, the attribute tags of the queried for items are determined；
The searching module, is specifically used for:
According to the corresponding attribute tags of each of the links in the attribute tags of the queried for items and the knowledge mapping, really
Link belonging to the fixed queried for items；
It is begun stepping through according to setting sequence from first node on the chain road belonging to the queried for items, looks for and looked into described
The corresponding key node of inquiry project；
The content at described other nodes connecting with the key node is extracted, is carried out as the query result defeated
Out.
The third aspect, the embodiment of the present application provide a kind of electronic equipment, comprising: memory and processor；
The memory, for storing computer program；
Wherein, the processor executes the computer program in the memory, to realize above-mentioned first aspect and
Method described in each embodiment of one side.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, the computer-readable storage
Computer program is stored in medium, for realizing above-mentioned first aspect and when the computer program is executed by processor
Method described in each embodiment of one side.
Information processing method, device, equipment and storage medium provided by the present application, by the inquiry for receiving user's input
When request, the query information for including in the inquiry request is extracted, the query term of user-association is determined based on the query information
Mesh, pre-establish and extract in the associated knowledge mapping of the queried for items include the queried for items link information,
And find in the link information and exported with after the associated query result of the queried for items, to improve inquiry
The processing speed of information improves customer experience so that user quickly obtains query result.
Detailed description of the invention
Fig. 1 is the flow diagram for the information processing method that the embodiment of the present application one provides；
Fig. 2 is the flow diagram for the building knowledge mapping that the embodiment of the present application one provides；
Fig. 3 is the structural schematic diagram for the knowledge mapping that the embodiment of the present application one provides；
Fig. 4 is the structural schematic diagram for the information processing unit that the embodiment of the present application two provides；
Fig. 5 is the structural schematic diagram for the electronic equipment that the embodiment of the present application three provides.
Specific embodiment
With reference to the accompanying drawing, the specific embodiment of the application is described in detail, it is to be understood that the guarantor of the application
Shield range is not limited by the specific implementation.
Unless otherwise explicitly stated, otherwise in entire disclosure and claims, term " includes " or its change
Changing such as "comprising" or " including " etc. will be understood to comprise stated element or component, and not exclude other members
Part or other component parts.
Fig. 1 is the flow diagram of information processing method that the embodiment of the present application one provides, in practical application, the present embodiment
Executing subject can be information processing unit, which can be realized by virtual bench, such as software code,
It can also be realized by being written with the related entity apparatus for executing code, such as USB flash disk, then alternatively, can also be by being integrated with phase
The entity apparatus realization for executing code is closed, for example, chip, intelligent robot etc..The present embodiment is by taking intelligent robot as an example.
As shown in Figure 1, this approach includes the following steps S101~S103:
S101, receive user input inquiry request when, extract the query information for including in the inquiry request.
In the present embodiment, user can input inquiry be requested in intelligent robot in several ways, such as by beating
Word input, is for another example inputted by voice, concrete mode the application is without limitation.When robot receives the inquiry of user's input
After request, first has to extract the query information in inquiry request, be inquired in order to subsequent according to the query information, example
Such as, in the information inquiry of beauty treatment fields, the inquiry request of user's input is " I wants to learn about the relevant knowledge of face's whitening ",
It is query information from " whitening " wherein extracted.
S102, the queried for items that user-association is determined based on the query information.
In the present embodiment, specifically, above-mentioned steps S102 specifically can wrap if the inquiry request is text information
It includes:
After the text information for receiving user's input, word segmentation processing is carried out to the text information, obtains feature word set, base
In pre-stored information bank, the Feature Words for extracting and being contained in described information storehouse are concentrated in the Feature Words, obtain described look into
Inquiry project.
If the inquiry request is voice messaging, above-mentioned steps S102 be can specifically include:
After the voice messaging for receiving user's input, speech recognition is carried out to the voice messaging, obtains feature word set, base
In pre-stored information bank, the Feature Words for extracting and being contained in described information storehouse are concentrated in the Feature Words, obtain described look into
Inquiry project.
In the present embodiment, pass through pre-stored information bank and the Feature Words identified to user query information
Collection, it is determined that the queried for items of user-association.
S103, it is extracted with the associated knowledge mapping of the queried for items comprising the queried for items what is pre-established
Link information, and find in the link information and exported with after the associated query result of the queried for items.
In the present embodiment, after obtaining queried for items, pre-establishing and the queried for items associated knowledge mapping
It is middle extract include the queried for items link information, and find in the link information associated with the queried for items
Then query result is exported.
In the present embodiment, specifically, as shown in Fig. 2, constructing and the associated knowledge of the queried for items in the following way
Map:
S201, it receives to stored items, determines the attribute classification and attribute tags to stored items.
Specifically, attribute classification can be the fields such as beauty, movement, pharmacy, for beauty treatment fields, beauty is constructed
The knowledge base in shaping field: beauty project knowledge library, beauty treatment material knowledge base, beautifying technique knowledge base, physical feeling knowledge base,
Position symptom knowledge base, beauty apparatus knowledge base, cosmetologist's knowledge base etc., attribute tags are preparatory point good, such as face
Portion, back, leg etc..It for example can be to stored items " face whitening ".
S202, based on attribute tags to stored items, preset with the associated knowledge of attribute classification
Library triple and preset attribute tags type determine the link information and nodal information to stored items；
Wherein, the knowledge base triple includes between two knowledge mapping entities and described two knowledge mapping entities
Relation on attributes.For example, (project knowledge library)-[having project] -> (face whitening)；(material knowledge base)-[having material] -> (beauty
White needle) etc..The attribute tags type of face may include [treatment material], [project position] etc., and last above- mentioned information can be true
Fixed link information and nodal information to stored items.
S203, based on described to stored items, and should link information, described nodal information to stored items, generate
The knowledge mapping, and be stored in Neo4j chart database.
Specifically, based on described to stored items, and it is somebody's turn to do link information, the nodal information to stored items, it is raw
At the knowledge mapping, for example, one of the link of beauty and shaping knowledge mapping may is that (material knowledge base)-[having material] ->
(whitening needle)-[treatment material] ->(face whitening)<-[project position]-(face)<-[having position]-(part knowledge library), such as
Shown in Fig. 3, it will be understood that improved knowledge mapping structure refines relationship, increases level.Finally, will generate
Knowledge mapping deposit Neo4j chart database in, in order to quickly search.
Information processing method provided in this embodiment when inquiry request by receiving user's input, is looked into described in extraction
Ask the query information for including in request, determine the queried for items of user-association based on the query information, pre-establish with
The link information comprising the queried for items is extracted in the associated knowledge mapping of queried for items, and in the link information
It finds and is exported with after the associated query result of the queried for items, so that the processing speed of query information is improved, with
Query result is quickly obtained conducive to user, improves customer experience.
In another embodiment, on the basis of the above embodiment 1, step S102 determines user based on the query information
After associated queried for items, can also include:
S201, the attribute tags for determining the queried for items；
Correspondingly, above-mentioned steps S103, can specifically include:
S202, according to the corresponding attribute mark of each of the links in the attribute tags of the queried for items and the knowledge mapping
Label, determine link belonging to the queried for items；
Begun stepping through according to setting sequence from first node on S203, the chain road belonging to the queried for items, look for
The corresponding key node of the queried for items；
The content at other nodes being connect described in S204, extraction with the key node, as the query result into
Row output.
In the present embodiment, by the attribute tags of the determination queried for items, according to the attribute tags of the queried for items
And the corresponding attribute tags of each of the links in the knowledge mapping, it determines link belonging to the queried for items, is looked into described
The road of chain belonging to inquiry project is begun stepping through according to setting sequence from first node, looks for key corresponding with the queried for items
Node extracts the content at described other nodes connecting with the key node, is exported, mentioned as the query result
The processing speed of query information has been risen, so that user quickly obtains query result, has improved customer experience.
Following is the application Installation practice, can be used for executing the application embodiment of the method.It is real for the application device
Undisclosed details in example is applied, the application embodiment of the method is please referred to.
Fig. 4 is the structural schematic diagram for the information processing unit that the embodiment of the present application two provides, as shown in figure 4, the device can
To include:
Receiving module 410 extracts looking into of including in the inquiry request when for receiving the inquiry request of user's input
Ask information；
Determining module 420, for determining the queried for items of user-association based on the query information；
Searching module 430, for being extracted with the associated knowledge mapping of the queried for items comprising institute what is pre-established
The link information of queried for items is stated, and is found in the link information laggard with the associated query result of the queried for items
Row output.
Information processing unit provided in this embodiment when inquiry request by receiving user's input, is looked into described in extraction
Ask the query information for including in request, determine the queried for items of user-association based on the query information, pre-establish with
The link information comprising the queried for items is extracted in the associated knowledge mapping of queried for items, and in the link information
It finds and is exported with after the associated query result of the queried for items, so that the processing speed of query information is improved, with
Query result is quickly obtained conducive to user, improves customer experience.
In a kind of preferred embodiment, building and the associated knowledge mapping of the queried for items in the following way:
It receives to stored items, determines the attribute classification and attribute tags to stored items；
Based on the attribute tags to stored items, the preset and associated knowledge base ternary of the attribute classification
Group and preset attribute tags type determine the link information and nodal information to stored items；
Based on described to stored items, and it is somebody's turn to do link information, the nodal information to stored items, known described in generation
Know map, and is stored in Neo4j chart database；
Wherein, the knowledge base triple includes between two knowledge mapping entities and described two knowledge mapping entities
Relation on attributes.
In a kind of preferred embodiment, if the inquiry request is text information, the determining module 420 is specific to use
After the text information for receiving user's input, word segmentation processing is carried out to the text information, obtains feature word set；Based on preparatory
The information bank of storage concentrates the Feature Words for extracting and being contained in described information storehouse in the Feature Words, obtains the queried for items.
In a kind of preferred embodiment, if the inquiry request is voice messaging, the determining module 420 is specific to use
After the voice messaging for receiving user's input, speech recognition is carried out to the voice messaging, obtains feature word set；Based on preparatory
The information bank of storage concentrates the Feature Words for extracting and being contained in described information storehouse in the Feature Words, obtains the queried for items.
In a kind of preferred embodiment, the determining module 420 is also used to determine that user is closed based on the query information
After the queried for items of connection, the attribute tags of the queried for items are determined；
The searching module 430, is specifically used for: according in the attribute tags of the queried for items and the knowledge mapping
The corresponding attribute tags of each of the links, determine link belonging to the queried for items；On the chain road belonging to the queried for items
It is begun stepping through according to setting sequence from first node, looks for key node corresponding with the queried for items；Extract described and institute
The content at other nodes of key node connection is stated, is exported as the query result.
Fig. 5 is the structural schematic diagram for the electronic equipment that the embodiment of the present application three provides, as shown in figure 5, the equipment includes: to deposit
Reservoir 501 and processor 502；
Memory 501, for storing computer program；
Wherein, processor 502 executes the computer program in memory 501, to realize each method embodiment as described above
Provided method.
In embodiment, example is carried out to information processing unit provided by the present application with an electronic equipment.Processor can be with
It is the processing unit of central processing unit (CPU) or the other forms with data-handling capacity and/or instruction execution capability,
And it can control the other assemblies in electronic equipment to execute desired function.
Memory may include one or more computer program products, and computer program product may include various forms
Computer readable storage medium, such as volatile memory and/or nonvolatile memory.Volatile memory for example can be with
Including random access memory (RAM) and/or cache memory (cache) etc..Nonvolatile memory for example can wrap
Include read-only memory (ROM), hard disk, flash memory etc..It can store one or more computers on computer readable storage medium
Program instruction, processor can run program instruction, method in each embodiment to realize the application above and/or
Other desired functions of person.Such as input signal, signal component, noise point can also be stored in a computer-readable storage medium
The various contents such as amount.
The embodiment of the present application four provides a kind of computer readable storage medium, stores in the computer readable storage medium
There is computer program, for realizing side provided by each method embodiment as described above when which is executed by processor
Method.
In practical application, the computer program in the present embodiment can be with any group of one or more programming languages
It closes to write the program code for executing the embodiment of the present application operation, programming language includes object-oriented programming
Language, Java, C++ etc. further include that conventional procedural programming language, such as " C " language or similar program are set
Count language.Program code can be executed fully on the user computing device, partly be executed on a user device, as one
Independent software package executes, part executes on a remote computing or completely long-range on the user computing device for part
It calculates and is executed on equipment or server.
In practical application, computer readable storage medium can be using any combination of one or more readable mediums.It can
Reading medium can be readable signal medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can include but is not limited to electricity,
Magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Readable storage medium storing program for executing
More specific example (non exhaustive list) includes: electrical connection with one or more conducting wires, portable disc, hard disk, random
It accesses memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable
Formula compact disk read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The description of the aforementioned specific exemplary embodiment to the application is in order to illustrate and illustration purpose.These descriptions
It is not wishing to for the application to be limited to disclosed precise forms, and it will be apparent that according to the above instruction, can much be changed
And variation.The purpose of selecting and describing the exemplary embodiment is that explaining the specific principle of the application and its actually answering
With so that those skilled in the art can be realized and utilize the application a variety of different exemplary implementation schemes and
Various chooses and changes.Scope of the present application is intended to be limited by claims and its equivalents.
Claims (10)
1. a kind of information processing method characterized by comprising
When receiving the inquiry request of user's input, the query information for including in the inquiry request is extracted；
The queried for items of user-association is determined based on the query information；
Pre-establish and extract in the associated knowledge mapping of the queried for items include the queried for items link information,
And it finds in the link information and is exported with after the associated query result of the queried for items.
2. the method according to claim 1, wherein constructing in the following way associated with the queried for items
Knowledge mapping:
It receives to stored items, determines the attribute classification and attribute tags to stored items；
Based on the attribute tags to stored items, it is preset with the associated knowledge base triple of the attribute classification and
Preset attribute tags type determines the link information and nodal information to stored items；
Based on described to stored items, and it is somebody's turn to do link information, the nodal information to stored items, generates the knowledge graph
Spectrum, and be stored in Neo4j chart database；
Wherein, the knowledge base triple includes the category between two knowledge mapping entities and described two knowledge mapping entities
Sexual intercourse.
3. the method according to claim 1, wherein if the inquiry request be text information, it is described be based on institute
State the queried for items that query information determines user-association, comprising:
After the text information for receiving user's input, word segmentation processing is carried out to the text information, obtains feature word set；
Based on pre-stored information bank, the Feature Words for extracting and being contained in described information storehouse are concentrated in the Feature Words, are obtained
The queried for items.
4. the method according to claim 1, wherein if the inquiry request be voice messaging, it is described be based on institute
State the queried for items that query information determines user-association, comprising:
After the voice messaging for receiving user's input, speech recognition is carried out to the voice messaging, obtains feature word set；
Based on pre-stored information bank, the Feature Words for extracting and being contained in described information storehouse are concentrated in the Feature Words, are obtained
The queried for items.
5. the method according to claim 1, wherein described determine looking into for user-association based on the query information
After inquiry project, the method also includes:
Determine the attribute tags of the queried for items；
It is described pre-establish and extract in the associated knowledge mapping of the queried for items include the queried for items link
Information, and find in the link information and exported with after the associated query result of the queried for items, comprising:
According to the corresponding attribute tags of each of the links in the attribute tags of the queried for items and the knowledge mapping, institute is determined
State link belonging to queried for items；
It begins stepping through, looks for and the query term from first node according to setting sequence on the chain road belonging to the queried for items
The corresponding key node of mesh；
The content at described other nodes connecting with the key node is extracted, is exported as the query result.
6. a kind of information processing unit characterized by comprising
Receiving module extracts the query information for including in the inquiry request when for receiving the inquiry request of user's input；
Determining module, for determining the queried for items of user-association based on the query information；
Searching module, for being extracted with the associated knowledge mapping of the queried for items comprising the query term what is pre-established
Purpose link information, and find in the link information and exported with after the associated query result of the queried for items.
7. device according to claim 6, which is characterized in that construct in the following way associated with the queried for items
Knowledge mapping:
It receives to stored items, determines the attribute classification and attribute tags to stored items；
Based on the attribute tags to stored items, it is preset with the associated knowledge base triple of the attribute classification and
Preset attribute tags type determines the link information and nodal information to stored items；
Based on described to stored items, and it is somebody's turn to do link information, the nodal information to stored items, generates the knowledge graph
Spectrum, and be stored in Neo4j chart database；
Wherein, the knowledge base triple includes the category between two knowledge mapping entities and described two knowledge mapping entities
Sexual intercourse.
8. device according to claim 6, which is characterized in that
The determining module, after the queried for items for being also used to determine user-association based on the query information, determine described in look into
The attribute tags of inquiry project；
The searching module, is specifically used for:
According to the corresponding attribute tags of each of the links in the attribute tags of the queried for items and the knowledge mapping, institute is determined
State link belonging to queried for items；
It begins stepping through, looks for and the query term from first node according to setting sequence on the chain road belonging to the queried for items
The corresponding key node of mesh；
The content at described other nodes connecting with the key node is extracted, is exported as the query result.
9. a kind of electronic equipment, comprising: memory and processor；
The memory, for storing computer program；
Wherein, the processor executes the computer program in the memory, to realize such as any one of claim 1-5 institute
The method stated.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium
Program, for realizing method according to any one of claims 1 to 5 when the computer program is executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910269180.6A CN110119463A (en) | 2019-04-04 | 2019-04-04 | Information processing method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910269180.6A CN110119463A (en) | 2019-04-04 | 2019-04-04 | Information processing method, device, equipment and storage medium |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110472068A (en) * | 2019-08-20 | 2019-11-19 | 星环信息科技（上海）有限公司 | Big data processing method, equipment and medium based on heterogeneous distributed knowledge mapping |
| CN110609888A (en) * | 2019-09-24 | 2019-12-24 | 北京明略软件系统有限公司 | Map verification method, device, server and storage medium based on relational network |
| CN110688490A (en) * | 2019-09-19 | 2020-01-14 | 上海数禾信息科技有限公司 | Method and device for configuring knowledge graph |
| CN110737779A (en) * | 2019-09-18 | 2020-01-31 | 北京三快在线科技有限公司 | Knowledge graph construction method and device, storage medium and electronic equipment |
| CN110928984A (en) * | 2019-09-30 | 2020-03-27 | 珠海格力电器股份有限公司 | Knowledge graph construction method and device, terminal and storage medium |
| CN111078727A (en) * | 2019-12-17 | 2020-04-28 | Oppo广东移动通信有限公司 | Brief description generation method and device and computer readable storage medium |
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| CN112182174A (en) * | 2020-09-24 | 2021-01-05 | 南方电网数字电网研究院有限公司 | Business question-answer knowledge query method and device, computer equipment and storage medium |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106897273A (en) * | 2017-04-12 | 2017-06-27 | 福州大学 | A kind of network security dynamic early-warning method of knowledge based collection of illustrative plates |
| US10102291B1 (en) * | 2015-07-06 | 2018-10-16 | Google Llc | Computerized systems and methods for building knowledge bases using context clouds |
| CN108829858A (en) * | 2018-06-22 | 2018-11-16 | 北京京东金融科技控股有限公司 | Data query method, apparatus and computer readable storage medium |
| CN108920716A (en) * | 2018-07-27 | 2018-11-30 | 中国电子科技集团公司第二十八研究所 | The data retrieval and visualization system and method for knowledge based map |
| CN109299289A (en) * | 2018-11-30 | 2019-02-01 | 国信优易数据有限公司 | A kind of query graph construction method, device, electronic equipment and computer storage medium |
| CN109299334A (en) * | 2018-08-31 | 2019-02-01 | 杭州振牛信息科技有限公司 | A kind of data processing method and device of knowledge mapping |
| WO2019027546A1 (en) * | 2017-07-31 | 2019-02-07 | Microsoft Technology Licensing, Llc | Knowledge graph for conversational semantic search |
-
2019
- 2019-04-04 CN CN201910269180.6A patent/CN110119463A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10102291B1 (en) * | 2015-07-06 | 2018-10-16 | Google Llc | Computerized systems and methods for building knowledge bases using context clouds |
| CN106897273A (en) * | 2017-04-12 | 2017-06-27 | 福州大学 | A kind of network security dynamic early-warning method of knowledge based collection of illustrative plates |
| WO2019027546A1 (en) * | 2017-07-31 | 2019-02-07 | Microsoft Technology Licensing, Llc | Knowledge graph for conversational semantic search |
| CN108829858A (en) * | 2018-06-22 | 2018-11-16 | 北京京东金融科技控股有限公司 | Data query method, apparatus and computer readable storage medium |
| CN108920716A (en) * | 2018-07-27 | 2018-11-30 | 中国电子科技集团公司第二十八研究所 | The data retrieval and visualization system and method for knowledge based map |
| CN109299334A (en) * | 2018-08-31 | 2019-02-01 | 杭州振牛信息科技有限公司 | A kind of data processing method and device of knowledge mapping |
| CN109299289A (en) * | 2018-11-30 | 2019-02-01 | 国信优易数据有限公司 | A kind of query graph construction method, device, electronic equipment and computer storage medium |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110472068A (en) * | 2019-08-20 | 2019-11-19 | 星环信息科技（上海）有限公司 | Big data processing method, equipment and medium based on heterogeneous distributed knowledge mapping |
| CN110472068B (en) * | 2019-08-20 | 2020-04-24 | 星环信息科技（上海）有限公司 | Big data processing method, equipment and medium based on heterogeneous distributed knowledge graph |
| CN110737779A (en) * | 2019-09-18 | 2020-01-31 | 北京三快在线科技有限公司 | Knowledge graph construction method and device, storage medium and electronic equipment |
| CN110737779B (en) * | 2019-09-18 | 2021-05-04 | 北京三快在线科技有限公司 | Knowledge graph construction method and device, storage medium and electronic equipment |
| CN110688490A (en) * | 2019-09-19 | 2020-01-14 | 上海数禾信息科技有限公司 | Method and device for configuring knowledge graph |
| CN110609888A (en) * | 2019-09-24 | 2019-12-24 | 北京明略软件系统有限公司 | Map verification method, device, server and storage medium based on relational network |
| CN110928984A (en) * | 2019-09-30 | 2020-03-27 | 珠海格力电器股份有限公司 | Knowledge graph construction method and device, terminal and storage medium |
| CN111078727A (en) * | 2019-12-17 | 2020-04-28 | Oppo广东移动通信有限公司 | Brief description generation method and device and computer readable storage medium |
| CN112104734A (en) * | 2020-09-15 | 2020-12-18 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for pushing information |
| CN112182174A (en) * | 2020-09-24 | 2021-01-05 | 南方电网数字电网研究院有限公司 | Business question-answer knowledge query method and device, computer equipment and storage medium |
| CN112463926A (en) * | 2020-12-07 | 2021-03-09 | 广东电网有限责任公司佛山供电局 | Data retrieval/intelligent question answering method, device and storage medium |
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