CN110929037A - Knowledge graph construction method and device, terminal and storage medium - Google Patents
Knowledge graph construction method and device, terminal and storage medium Download PDFInfo
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Abstract
The application relates to a method, a device, a terminal and a storage medium for constructing a knowledge graph, wherein the method comprises the following steps: the client determines a knowledge graph to be constructed; the client receives an input entity relationship matched with the knowledge graph and sends the entity relationship to the server, wherein the entity relationship comprises an entity and an entity attribute; and the server receives the entity relationship and constructs the knowledge graph based on the entity relationship. Therefore, the construction process of the knowledge graph is simplified, the same operation does not need to be repeatedly executed in the process of constructing the knowledge graph, the construction efficiency of the knowledge graph is improved, and the user experience is improved.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a method and an apparatus for constructing a knowledge graph, a terminal, and a storage medium.
Background
The knowledge map is also called scientific knowledge map, is called knowledge domain visualization or knowledge domain mapping map in the book intelligence field, is a series of different graphs for displaying the relationship between the knowledge development process and the structure, describes knowledge resources and carriers thereof by using visualization technology, and excavates, analyzes, constructs, draws and displays the knowledge and the mutual relationship between the knowledge. Knowledge maps are now available for many applications. For example, using a knowledge graph to show one person's achievements, using a knowledge graph to show relationships between multiple people, using a knowledge graph to show attributes of things, and so on.
In the related art, the construction of the knowledge graph is that for each independent project, different knowledge graphs need to be constructed for different projects. In the process of constructing the knowledge graph, the same operation, such as entity extraction, analysis, storage and the like, needs to be repeatedly performed.
Because the same operation needs to be repeatedly executed to construct the knowledge graph in the related art, much time and energy are needed, so that the construction efficiency of the knowledge graph is low, and the user experience is reduced.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the present application provides a method, an apparatus, a terminal and a storage medium for constructing a knowledge graph.
In a first aspect, an embodiment of the present application provides a method for constructing a knowledge graph, where the method includes:
the client determines a knowledge graph to be constructed;
the client receives an input entity relationship matched with the knowledge graph and sends the entity relationship to the server, wherein the entity relationship comprises an entity and an entity attribute;
and the server receives the entity relationship and constructs the knowledge graph based on the entity relationship.
Preferably, the determining, by the client, the knowledge graph to be constructed includes:
the client determines the application field of the knowledge graph designated by the user;
and determining a knowledge graph to be constructed based on the application field.
Preferably, the entity relationship further includes:
the connection relation between the entities and the entity attributes;
the building the knowledge-graph based on the entity relationships comprises:
and constructing the knowledge graph based on the entity, the entity attribute, the connection relationship between the entities and the entity attribute.
Preferably, the method further comprises:
after the server side constructs the knowledge graph, the knowledge graph is transmitted back to the client side;
and the client receives the knowledge graph and displays the knowledge graph to the user.
Preferably, the displaying the knowledge-graph to the user includes:
determining a display area of the knowledge graph by using the size of the knowledge graph and the size of a display area of the client;
and displaying the knowledge-graph to the user in the display area.
Preferably, the displaying the knowledge-graph to the user includes:
determining a target knowledge graph display mode from preset knowledge graph display modes;
and displaying the knowledge graph to the user by using the target knowledge graph display mode.
In a second aspect, an embodiment of the present application provides a method for constructing a knowledge graph, which is applied to a client, and the method includes:
determining a knowledge graph to be constructed;
receiving entity relationships matched with the knowledge graph and input by a user;
and sending the entity relationship to a server so that the server constructs the knowledge graph based on the entity relationship, wherein the entity relationship comprises an entity and an entity attribute.
In a third aspect, an embodiment of the present application provides an apparatus for constructing a knowledge graph, which is applied to a client, and the apparatus includes:
the map determining module is used for determining a knowledge map to be constructed;
the relation receiving module is used for receiving entity relations which are input by a user and matched with the knowledge graph;
and the relation sending module is used for sending the entity relation to the server so that the server constructs the knowledge graph based on the entity relation, wherein the entity relation comprises an entity and an entity attribute.
In a fourth aspect, an embodiment of the present application provides a terminal, including a processor, a communication interface, a memory, and a communication bus, where the processor and the communication interface complete communication between the memory and the processor through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the construction method of the knowledge graph when executing the program stored in the memory.
In a fifth aspect, the present application provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, the method for constructing a knowledge graph is implemented.
According to the technical scheme provided by the embodiment of the application, the client determines the knowledge graph to be constructed, receives the entity relationship matched with the knowledge graph, sends the entity relationship to the server, and constructs the knowledge graph based on the entity relationship by the server, so that the construction process of the knowledge graph is simplified, the same operation does not need to be repeatedly executed in the process of constructing the knowledge graph, the construction efficiency of the knowledge graph is improved, and the user experience is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is an interactive flow chart of a method for constructing a knowledge graph according to an embodiment of the present disclosure;
FIG. 2 is a schematic illustration of a knowledge-graph provided by an embodiment of the present application;
FIG. 3 is an interactive flow chart of another method for constructing a knowledge graph according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an apparatus for constructing a knowledge graph according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the embodiment of the application, in order to simplify the construction process of the knowledge graph, the construction process of the knowledge graph is modularized, the knowledge graph to be constructed is determined by the client, the entity relationship matched with the knowledge graph is received, the entity relationship is sent to the server, the server receives the knowledge graph constructed based on the entity relationship, the same operation does not need to be repeatedly executed in the construction process of the knowledge graph, the construction efficiency of the knowledge graph is improved, and the user experience is improved.
As shown in fig. 1, an interaction flow diagram of a method for constructing a knowledge graph provided in the embodiment of the present application is provided, and the method specifically includes the following steps:
s101, a client determines a knowledge graph to be constructed;
the knowledge map is also called scientific knowledge map, is called knowledge domain visualization or knowledge domain mapping map in the book intelligence field, is a series of different graphs for displaying the relationship between the knowledge development process and the structure, describes knowledge resources and carriers thereof by using visualization technology, and excavates, analyzes, constructs, draws and displays the knowledge and the mutual relationship between the knowledge. The construction of the knowledge graph is the core of the application of the artificial intelligence technology in the specific industry field at present.
At present, the knowledge graph can be used in a plurality of application fields, and the corresponding knowledge graph needs to be constructed. For example, if one person's achievement can be shown by using the knowledge graph, the knowledge graph for showing one person's achievement can be correspondingly constructed, the relationship among a plurality of people can be shown by using the knowledge graph, the knowledge graph for showing the relationship among a plurality of people can be correspondingly constructed, the object attribute can be shown by using the knowledge graph, and the knowledge graph for showing the object attribute can be correspondingly constructed.
From the above, different knowledge maps can be constructed based on different application fields. In the embodiment of the application, the application field of the knowledge graph designated by the user can be determined by the client, and the knowledge graph to be constructed is determined based on the application field.
For example, at the client user selection application domain: the relation between the people, the client can determine the application field selected by the user, and determine the knowledge graph to be constructed based on the application field, wherein the knowledge graph to be constructed is used for showing the relation between a plurality of people.
In addition, in the embodiment of the application, the client may further monitor whether the operation of the user for constructing the knowledge graph is triggered, determine the application field of the knowledge graph specified by the user under the condition that the operation of the user for constructing the knowledge graph is triggered, and determine the knowledge graph to be constructed based on the application field.
S102, the client receives an input entity relation matched with the knowledge graph;
aiming at the knowledge graph to be constructed determined in the steps, a user can extract an entity relationship, wherein the entity relationship comprises an entity and an entity attribute, a connection relationship between the entity and the entity attribute, and the entity attribute respectively corresponds to different attribute values.
As shown in Table 1 below, entity relationships include entity 1: user, entity attribute of entity 1: address, identity, phone, mailbox, password, name, ID, entity 2: user opinion, entity attribute of entity 2: user ID, opinion ID, content, time, item ID, etc.
TABLE 1
In the entity relationship shown in table 1, entity 1 is connected to entity 2, entity 1 is connected to entity attributes (address, identity, telephone, mailbox, password, name, ID), and entity 2 is connected to entity attributes (user ID, opinion ID, content, time, commodity ID).
And aiming at the extracted entity relationship, the user can input the entity relationship to the client, and the client receives the entity relationship input by the user, wherein the entity relationship is matched with the knowledge graph to be constructed determined in the step so as to be convenient for constructing the knowledge graph according to the entity relationship subsequently.
S103, the client sends the entity relationship to a server, wherein the entity relationship comprises an entity and an entity attribute;
after receiving the entity relationship which is input by the user and matched with the knowledge graph to be constructed, the client side can send the entity relationship to the server side so that the subsequent server side can construct the knowledge graph.
In order to further improve user experience, before the entity relationship is sent to the server, the entity relationship may be displayed to the user, whether the user sends the entity relationship to the server is prompted, and the entity relationship is sent to the server when a confirmation instruction input by the user is received.
Furthermore, in order to reduce the amount of information transmission, the entity relationship may be compressed according to a preset compression rule before being sent to the server, and the entity relationship may be sent to the server after the compression is completed.
And S104, the server receives the entity relationship and constructs the knowledge graph based on the entity relationship.
For the entity relationship sent by the client, the server receives the entity relationship and stores the received entity relationship locally. For example, the server stores the received entity relationship to a local database.
For the entity relationship, the server may construct a knowledge graph based on the entity relationship, wherein the knowledge graph may be specifically constructed based on the entity, the entity attribute, the connection relationship between the entities, and for different entity attributes, corresponding to different attribute values.
For example, the entity relationship includes entities such as a user, a user opinion, an order, a commodity, etc., a connection relationship exists between the user and the user opinion, a connection relationship exists between the user and the order, a connection relationship exists between the order and the commodity, the user includes entity attributes such as an address, an identity, a telephone, a mailbox, a password, a name, an ID, etc., the user opinion includes entity attributes such as a user ID, an opinion ID, a content, a time, a commodity ID, etc., the order includes entity attributes such as an order ID, a payment method, a payment amount, a total amount, a user ID, etc., the commodity includes entity attributes such as an ID, a type, a publisher, an introduction, a picture, a quantity, a price, a name, etc., and a knowledge graph is constructed according to the entities, the entity attributes, the connection relationship between the entities, and.
Through the above description of the technical scheme provided by the embodiment of the application, the client determines the knowledge graph to be constructed, receives the entity relationship matched with the knowledge graph to be constructed, sends the entity relationship to the server, and constructs the knowledge graph based on the entity relationship by the server, so that the construction process of the knowledge graph is simplified, the same operation does not need to be repeatedly executed in the construction process of the knowledge graph, the construction efficiency of the knowledge graph is improved, and the user experience is improved.
As shown in fig. 3, an interaction flow diagram of another method for constructing a knowledge graph provided in the embodiment of the present application is provided, where the method specifically includes the following steps:
s301, the client determines a knowledge graph to be constructed;
in the embodiment of the present application, this step is similar to the description of step S201 described above, and details of the embodiment of the present application are not repeated here.
S302, the client receives the input entity relation matched with the knowledge graph;
in the embodiment of the present application, this step is similar to the description of step S202 described above, and details of the embodiment of the present application are not repeated here.
S303, sending the entity relationship to a server, wherein the entity relationship comprises an entity and an entity attribute;
in the embodiment of the present application, this step is similar to the description of step S203 described above, and details of the embodiment of the present application are not repeated here.
S304, the server receives the entity relationship and constructs the knowledge graph based on the entity relationship;
in the embodiment of the present application, this step is similar to the description of step S204, and the description of this embodiment is not repeated here.
S305, after the server constructs the knowledge graph, the server transmits the knowledge graph back to the client;
aiming at the knowledge graph constructed by the server in the steps, in order to enable the knowledge graph to be visualized and be convenient for a user to check, the server can transmit the knowledge graph back to the client after constructing the knowledge graph.
Before the knowledge graph is returned to the client, the knowledge graph can be compressed in order to reduce the information transmission amount, and after the knowledge graph is compressed, the knowledge graph is returned to the client.
In addition, in the embodiment of the application, the server can monitor whether a knowledge graph checking instruction sent by the client is received, and the knowledge graph is transmitted back to the client under the condition that the knowledge graph checking instruction sent by the client is received.
S306, the client receives the knowledge graph and displays the knowledge graph to the user.
The server side returns the knowledge graph, and the client side receives the knowledge graph and displays the knowledge graph to the user. Wherein, the alternative implementation of presenting the knowledge-graph to the user is as follows:
embodiment 1 may be selected to determine a display area of the knowledge graph by using the size of the knowledge graph and the size of the display area of the client, and display the knowledge graph to the user in the display area.
For example, if the client display area size (200 x 300) is smaller than the knowledgegraph size (600 x 400), the knowledgegraph may be compressed until the knowledgegraph size is smaller than the client display area size, and then a display area of the knowledgegraph may be calculated according to a preset percentage (ratio of a knowledgegraph display area to a client display area) within which the knowledgegraph is displayed to the user.
For example, if the size of the client display area (600 × 400) is not smaller than the size of the knowledgegraph (200 × 300), the display area of the knowledgegraph may be directly calculated according to a preset ratio (the ratio of the knowledgegraph display area to the client display area), and the knowledgegraph is displayed to the user in the display area.
Optional embodiment 2, determining a target knowledge graph display mode from preset knowledge graph display modes, and displaying the knowledge graph to a user by using the target knowledge graph display mode.
The preset knowledge graph display mode can be a semitransparent display mode, a suspension hidden display mode and the like. The target knowledge graph display mode may be determined in a random or polling selection mode, or a single knowledge graph display mode may be used all the time (for example, a semi-transparent display mode is used all the time, and the semi-transparent display mode is the target knowledge graph display mode).
For example, a semi-transparent display mode is determined in a random selection mode from preset knowledge graph display modes, the knowledge graph is displayed to a user in the semi-transparent display mode, and the knowledge graph is presented to the user in the semi-transparent mode.
For example, a floating hiding display mode is determined in a polling selection mode from preset knowledge graph display modes, and the knowledge graph is displayed to a user by using the floating hiding display mode. And the user moves to the edge of the client display area by using a mouse, a dialog window can pop up, and the knowledge graph is displayed in the dialog window.
In order to explain the technical solutions provided in the embodiments of the present application, the technical solutions provided in the embodiments of the present application are explained below from one side respectively:
for the client side, the steps that need to be performed are as follows: determining a knowledge graph to be constructed; receiving an entity relationship which is input by a user and matched with the knowledge graph, and sending the entity relationship to a server, wherein the entity relationship comprises an entity and an entity attribute;
for the server side, the steps that need to be performed are as follows: and receiving the entity relationship, and constructing the knowledge graph based on the entity relationship.
Corresponding to the above method embodiment, an embodiment of the present application further provides a device for constructing a knowledge graph, which is applied to a client, and as shown in fig. 4, the device may include: the map determining module 410, the relation receiving module 420 and the relation sending module 430.
The map determining module 410 is used for determining a knowledge map to be constructed;
a relationship receiving module 420, configured to receive an entity relationship matching the knowledge graph, which is input by a user;
a relationship sending module 430, configured to send the entity relationship to the server, so that the server constructs the knowledge graph based on the entity relationship, where the entity relationship includes an entity and an entity attribute.
The embodiment of the present application further provides a terminal, as shown in fig. 5, including a processor 51, a communication interface 52, a memory 53 and a communication bus 54, where the processor 51, the communication interface 52, and the memory 53 complete mutual communication through the communication bus 54,
a memory 53 for storing a computer program;
the processor 51 is configured to implement the following steps when executing the program stored in the memory 53:
determining a knowledge graph to be constructed;
receiving entity relationships matched with the knowledge graph and input by a user;
and sending the entity relationship to a server so that the server constructs the knowledge graph based on the entity relationship, wherein the entity relationship comprises an entity and an entity attribute.
The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the terminal and other equipment.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
The present application further provides a storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method for constructing a knowledge graph executed by a client side or a server side in the foregoing embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a storage medium or transmitted from one storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for constructing a knowledge graph, the method comprising:
the client determines a knowledge graph to be constructed;
the client receives an input entity relationship matched with the knowledge graph and sends the entity relationship to the server, wherein the entity relationship comprises an entity and an entity attribute;
and the server receives the entity relationship and constructs the knowledge graph based on the entity relationship.
2. The method of claim 1, wherein the client determines the knowledge-graph to be constructed, comprising:
the client determines the application field of the knowledge graph designated by the user;
and determining a knowledge graph to be constructed based on the application field.
3. The method of claim 1, wherein the entity relationship further comprises:
the connection relation between the entities and the entity attributes;
the building the knowledge-graph based on the entity relationships comprises:
and constructing the knowledge graph based on the entity, the entity attribute, the connection relationship between the entities and the entity attribute.
4. The method according to any one of claims 1 to 3, further comprising:
after the server side constructs the knowledge graph, the knowledge graph is transmitted back to the client side;
and the client receives the knowledge graph and displays the knowledge graph to the user.
5. The method of claim 4, wherein said presenting said knowledge-graph to said user comprises:
determining a display area of the knowledge graph by using the size of the knowledge graph and the size of a display area of the client;
and displaying the knowledge-graph to the user in the display area.
6. The method of claim 4, wherein said presenting said knowledge-graph to said user comprises:
determining a target knowledge graph display mode from preset knowledge graph display modes;
and displaying the knowledge graph to the user by using the target knowledge graph display mode.
7. A construction method of a knowledge graph is applied to a client, and is characterized by comprising the following steps:
determining a knowledge graph to be constructed;
receiving entity relationships matched with the knowledge graph and input by a user;
and sending the entity relationship to a server so that the server constructs the knowledge graph based on the entity relationship, wherein the entity relationship comprises an entity and an entity attribute.
8. A knowledge graph construction device applied to a client side is characterized by comprising:
the map determining module is used for determining a knowledge map to be constructed;
the relation receiving module is used for receiving entity relations which are input by a user and matched with the knowledge graph;
and the relation sending module is used for sending the entity relation to the server so that the server constructs the knowledge graph based on the entity relation, wherein the entity relation comprises an entity and an entity attribute.
9. A terminal is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing the communication between the processor and the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of claim 7 when executing a program stored in the memory.
10. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the method as claimed in claim 7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112035676A (en) * | 2020-09-02 | 2020-12-04 | 中国银行股份有限公司 | User operation behavior knowledge graph construction method and device |
| CN112331201A (en) * | 2020-11-03 | 2021-02-05 | 珠海格力电器股份有限公司 | Voice interaction method and device, storage medium and electronic device |
| CN113361716A (en) * | 2021-06-25 | 2021-09-07 | 中国电子科技集团公司第十五研究所 | Threat reasoning rule construction method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108228874A (en) * | 2018-01-18 | 2018-06-29 | 北京邮电大学 | World knowledge collection of illustrative plates visualization device and method based on artificial intelligence technology |
| CN108694177A (en) * | 2017-04-06 | 2018-10-23 | 北大方正集团有限公司 | Knowledge mapping construction method and system |
| CN108874915A (en) * | 2018-05-30 | 2018-11-23 | 苏州思必驰信息科技有限公司 | Method of Knowledge Organization, system, electronic equipment and storage medium |
| CN109508384A (en) * | 2018-10-31 | 2019-03-22 | 北京国双科技有限公司 | Processing method, device, storage medium and the processor of knowledge mapping |
| GB2572244A (en) * | 2018-03-22 | 2019-09-25 | Adobe Inc | Constructing enterprise-specific knowledge graph |
-
2019
- 2019-09-29 CN CN201910935501.1A patent/CN110929037A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108694177A (en) * | 2017-04-06 | 2018-10-23 | 北大方正集团有限公司 | Knowledge mapping construction method and system |
| CN108228874A (en) * | 2018-01-18 | 2018-06-29 | 北京邮电大学 | World knowledge collection of illustrative plates visualization device and method based on artificial intelligence technology |
| GB2572244A (en) * | 2018-03-22 | 2019-09-25 | Adobe Inc | Constructing enterprise-specific knowledge graph |
| CN108874915A (en) * | 2018-05-30 | 2018-11-23 | 苏州思必驰信息科技有限公司 | Method of Knowledge Organization, system, electronic equipment and storage medium |
| CN109508384A (en) * | 2018-10-31 | 2019-03-22 | 北京国双科技有限公司 | Processing method, device, storage medium and the processor of knowledge mapping |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112035676A (en) * | 2020-09-02 | 2020-12-04 | 中国银行股份有限公司 | User operation behavior knowledge graph construction method and device |
| CN112035676B (en) * | 2020-09-02 | 2024-02-23 | 中国银行股份有限公司 | User operation behavior knowledge graph construction method and device |
| CN112331201A (en) * | 2020-11-03 | 2021-02-05 | 珠海格力电器股份有限公司 | Voice interaction method and device, storage medium and electronic device |
| CN113361716A (en) * | 2021-06-25 | 2021-09-07 | 中国电子科技集团公司第十五研究所 | Threat reasoning rule construction method and device |
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