CN111427901A - Interactive knowledge graph data editing method, computer device and storage medium - Google Patents
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Abstract
The application relates to an interactive knowledge-graph data compiling method, computer equipment and a storage medium. The method comprises the following steps: the front end acquires a configuration file of the knowledge graph data to be edited, and sends the configuration file to the data processing middleware, wherein the knowledge graph to be edited is constructed knowledge graph data stored in a graph database; the data processing middleware receives the configuration file and acquires the knowledge graph data to be edited from a graph database according to the configuration file; the data processing middleware converts the knowledge graph data to be edited into display format data and sends the display format data to the front end; and the front end receives the display format data and edits the display format data according to an editing instruction input by a user. The method realizes the local editing of the constructed knowledge graph data, and reduces the maintenance and management cost of the knowledge graph data.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to an interactive knowledge-graph data compiling method, a computer device, and a storage medium.
Background
The knowledge graph is a semantic network, and fragmented knowledge can be effectively organized between nodes and edges (node relations) forming the knowledge graph to form a knowledge graph database. The knowledge map data can realize quick and effective retrieval of certain information, and is a powerful tool for realizing machine intelligence. The knowledge graph data can be combined with corresponding business requirements during construction, however, in actual use, the business requirements are often changed, so that the constructed knowledge graph data is often difficult to meet the changed business requirements.
The existing knowledge graph research mainly focuses on data construction or model construction, and when the problems are met, although a user can reconstruct the knowledge graph according to new business requirements, the construction process of knowledge graph data is very complicated; or the user can adjust the constructed knowledge graph data in a programming mode, but the mode inevitably needs to modify the data in the database by using a programming language, so that the requirement of an operator is higher; it can be seen that the above two methods have large maintenance cost and do not have universality to the changing business requirements.
Disclosure of Invention
In view of the above, there is a need to provide an interactive knowledge-graph data editing method, a computer device and a storage medium, which can quickly adapt to the storage type of constructed knowledge-graph data and can realize editing of knowledge-graph data without programming.
An interactive knowledge-graph data editing method, the method comprising:
the method comprises the steps that a front end obtains a configuration file of the knowledge graph data to be edited, and sends the configuration file to a data processing middleware, wherein the knowledge graph data to be edited is constructed knowledge graph data stored in a graph database;
the data processing middleware receives the configuration file and acquires knowledge graph data to be edited from a graph database according to the configuration file;
the data processing middleware converts the knowledge graph data to be edited into display format data and sends the display format data to the front end;
and the front end receives the display format data and edits the display format data according to an editing instruction input by a user.
In one embodiment, the method further comprises:
the front end sends the edited display format data to a data processing middleware;
and the data processing middleware receives the edited display format data and updates the graphic database according to the configuration file.
In one embodiment, the data types of the graphic database include any one or more of the following: neo4j, Janus Graph, Arango DB, Orient DB, Beam, and grapeview.
In one embodiment, the step of receiving the configuration file by the data processing middleware and acquiring the knowledge-graph data to be edited from the graph database according to the configuration file comprises the following steps:
the data processing middleware analyzes the configuration file to determine the data type of the knowledge graph data to be edited;
matching the data type with a plurality of preset data types and data processing modules to obtain the data processing module corresponding to the data type, and establishing connection with a graphic database by using the corresponding data processing module, wherein each type of database corresponds to one preset data processing module;
determining the query language of the knowledge graph data to be edited according to the data type, and querying the knowledge graph data to be edited from a graph database by using the query language, wherein the query language comprises any one or more of Cypher, SQ L, SPARQ L, nCQ L and Germlin.
In one embodiment, the step of converting the knowledge-graph data to be edited into display format data by the data processing middleware and sending the display format data to the front end includes:
and performing format and type conversion on the data to be edited by using a data processing module corresponding to the data type, and taking the converted data as display format data.
In one embodiment, the method further comprises:
the front end receives a query condition input by a user, wherein the query condition comprises: a certain node or node relationship, and/or a filtering node or node relationship;
matching the query conditions with the display format data to obtain query results;
and the front end displays the query result.
In one embodiment, the method further comprises:
responding to the situation that the data processing middleware does not acquire the knowledge graph data to be edited according to the configuration file, and sending a preset error prompt to a front end by the data processing middleware;
and the front end receives the preset error prompt and displays the preset error prompt to a user.
In one embodiment, the editing instructions include any one or more of: data addition, data deletion and data modification.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described above.
According to the interactive knowledge graph data compiling method, the computer equipment and the storage medium, the constructed knowledge graph data stored in the graph database are converted into the display format data through the data processing middleware, and the display format data are modified at the front end according to the editing instruction input by the user, so that the local editing of the constructed knowledge graph data is realized, and the maintenance and management costs of the knowledge graph data are reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
FIG. 1 is a flow diagram illustrating a method for interactive knowledge-graph data compilation, according to one embodiment;
FIG. 2 is a block diagram of a method for interactive knowledge-graph data compilation in another embodiment;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
As shown in fig. 1, the present application provides an interactive method for compiling knowledge-graph data, which specifically includes the following steps:
and S100, the front end acquires a configuration file of the knowledge graph data to be edited, and sends the configuration file to the data processing middleware, wherein the knowledge graph data to be edited is constructed knowledge graph data stored in the graph database.
And S200, the data processing middleware receives the configuration file and acquires the knowledge graph data to be edited from the graph database according to the configuration file.
And S300, converting the knowledge graph data to be edited into display format data by the data processing middleware, and sending the display format data to the front end.
And S400, the front end receives the display format data and edits the display format data according to an editing instruction input by a user.
According to the interactive knowledge graph data compiling method, the constructed knowledge graph data stored in the graph database are converted into the display format data by the data processing middleware, and the display format data are modified at the front end according to the editing instruction input by the user, so that the local editing of the constructed knowledge graph data is realized, and the maintenance and management costs of the knowledge graph data are reduced.
In another embodiment, please refer to fig. 2, which provides a method for editing knowledge-graph data, the method specifically includes the following steps:
and S100, the front end acquires a configuration file of the knowledge graph data to be edited, and sends the configuration file to the data processing middleware, wherein the knowledge graph data to be edited is constructed knowledge graph data stored in the graph database.
The configuration file is a YUM L format file, and mainly comprises three fields, namely GaphDatabaseType, DataBaseAccount and DataBaseAssemblem, which are respectively a database type for storing a knowledge graph, an account number of the database and a database login password, the configuration file is set at the front end by a user, the specific setting mode can be selected at the front end interface according to option settings provided by the interface, the account number password and the like of the corresponding graph database can be input into a corresponding input box while the database type is selected, and the user can select a specified YUM L format file at the front end interface.
S200, the data processing middleware receives the configuration file and acquires the knowledge graph data to be edited from the graph database according to the configuration file; the data type of the graphic database comprises any one or more of the following items: neo4j, janussgraph, Arango DB, Orient DB, Beam, and grapeview.
Referring to fig. 3, in the implementation process, S200 specifically includes the following steps:
s210, the data processing middleware analyzes the configuration file to determine the data type of the knowledge graph data to be edited.
And S220, matching the data type with the corresponding relation between the plurality of preset data types and the data processing modules to obtain the data processing modules corresponding to the data types, and establishing connection with the graphic database by utilizing the corresponding data processing modules, wherein each type of database corresponds to one preset data processing module.
The data processing middleware is internally provided with a plurality of data processing modules, the data processing modules can process which types of data are preset, so that the corresponding data processing modules can be matched only by knowing the storage format of the current data to be edited in the graphic database, and the configuration process of the data modules is processed by adopting a preset matching algorithm.
And S230, determining a query language of the knowledge graph data to be edited according to the data type, and querying the knowledge graph data to be edited from the graph database by using the query language, wherein the query language comprises any one or more of Cypher, SQ L, SPARQ L, nCQ L and Germlin.
The data processing module is internally provided with different database query languages, so that the data processing module can query the knowledge graph data to be edited through the appropriate query language after establishing connection with the graph database.
In addition, when the step 200 is executed in a specific implementation process, in response to that the data processing middleware does not acquire the knowledge graph data to be edited according to the configuration file, the data processing middleware sends a preset error prompt to the front end; the front end receives the preset error prompt and displays the preset error prompt to a user.
S300, the data processing middleware converts the knowledge graph data to be edited into display format data and sends the display format data to the front end;
the data processing module can convert data in a type database and display format data mutually, not only can convert the data in the graphic database into the display format data, but also can convert the display format data into a data format stored in the graphic database, format and type conversion is carried out on the data to be edited by the data processing module corresponding to the data type, the converted data is used as the display format data, and the display format data is data which can be displayed at the front end, so that the data processing middleware can convert the data to be edited into a uniform display data format no matter what type the data to be edited is stored, and the difference of persistent storage of the underlying knowledge map data is shielded.
And S400, the front end receives the display format data and edits the display format data according to an editing instruction input by a user.
The front end provides a map display page, and the front end can display the display format data on the map display page. The display page is provided with an editing toolbar, and a user can use the tool of the toolbar to count the display formats. For example, a node icon may be set in the toolbar, and the user adds a node to the graph presentation page by dragging, or may select an existing node and modify attribute information of the existing node. Preferred editing instructions may be additions to sections, deletions from data, or modifications to data, etc.
The interactive knowledge Graph data compiling method shields the difference of persistent storage of knowledge Graph data, and the data processing middleware can convert Neo4j, Janus Graph, Arango DB, Orient DB, Beam and GraphView into a uniform display format through corresponding data processing modules, so that a user can locally edit constructed knowledge Graph data of different storage types on a terminal, the operation difficulty of user editing is reduced, and the method is particularly good in universality.
In another embodiment, on the basis of the foregoing embodiments, a method for compiling interactive knowledge-graph data is provided, and specifically the method further includes:
s500, the front end sends the edited display format data to a data processing middleware;
s600, the data processing middleware receives the edited display format data and updates the graphic database according to the configuration file.
In the specific implementation process, after the user finishes editing the display data format, the user can trigger a corresponding request, such as a storage request, an update request and the like, on the front-end display page, and at the moment, the data processing module converts the edited display format data into a storage format which is the same as the knowledge graph data to be edited, so that the data in the graph database is updated.
In another embodiment, the front-end display page provides a search box for a user to query node information, and the specific interactive knowledge-graph data compiling method further includes the following steps:
the front end receives a query condition input by a user, wherein the query condition comprises: a certain node or node relationship, and/or a filtering node or node relationship; the query condition is input by a user in a search box of a front-end display page; for example, for a user-selected node, the query may or may not have to pass through the node. And matching the query conditions with the display format data to obtain a query result, and displaying the query result by the front end.
The editing method of the interactive knowledge graph provides a node query function for the user at the front end, the operation of the user is convenient, and the query result can be visually displayed to the user.
According to another aspect of the present invention, a computer device is provided, and the computer device may be a server, and its internal structure is shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a graphics database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a graphics database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The graphic database of the computer device is used for storing data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements the interactive knowledge-graph data compilation method described above.
According to a further aspect of the invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the interactive knowledge-graph data compilation method described above.
It is to be understood that all embodiments, features and advantages set forth above with respect to the method for health assessment of an aircraft engine according to the invention apply equally, without conflict with one another, to the computer device and to the storage medium according to the invention. That is, all of the embodiments of the aircraft engine health assessment method described above and variations thereof may be transferred directly to and applied to the computer device and storage medium according to the present invention, and incorporated directly therein. For the sake of brevity of the present disclosure, no repeated explanation is provided herein.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored on a non-volatile computer-readable storage medium, which when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, graphics database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An interactive method for editing knowledge-graph data, the method comprising:
the method comprises the steps that a front end obtains a configuration file of the knowledge graph data to be edited, and sends the configuration file to a data processing middleware, wherein the knowledge graph data to be edited is constructed knowledge graph data stored in a graph database;
the data processing middleware receives the configuration file and acquires knowledge graph data to be edited from a graph database according to the configuration file;
the data processing middleware converts the knowledge graph data to be edited into display format data and sends the display format data to the front end;
and the front end receives the display format data and edits the display format data according to an editing instruction input by a user.
2. The method of claim 1, further comprising:
the front end sends the edited display format data to a data processing middleware;
and the data processing middleware receives the edited display format data and updates the graphic database according to the configuration file.
3. The method of claim 1, wherein the data types of the graphic database comprise any one or more of: neo4j, Janus Graph, Arango DB, Orient DB, Beam, and grapeview.
4. The method of claim 3, wherein the step of the data processing middleware receiving the configuration file and obtaining the knowledge-graph data to be edited from the graph database according to the configuration file comprises:
the data processing middleware analyzes the configuration file to determine the data type of the knowledge graph data to be edited;
matching the data type with a plurality of preset data types and data processing modules to obtain the data processing module corresponding to the data type, and establishing connection with a graphic database by using the corresponding data processing module, wherein each type of database corresponds to one preset data processing module;
determining the query language of the knowledge graph data to be edited according to the data type, and querying the knowledge graph data to be edited from a graph database by using the query language, wherein the query language comprises any one or more of Cypher, SQ L, SPARQ L, nCQ L and Germlin.
5. The method according to claim 4, wherein the step of the data processing middleware converting the knowledge-graph data to be edited into presentation format data and sending the presentation format data to a front end comprises:
and performing format and type conversion on the data to be edited by using a data processing module corresponding to the data type, and taking the converted data as display format data.
6. The method of claim 1, further comprising:
the front end receives a query condition input by a user, wherein the query condition comprises: a certain node or node relationship, and/or a filtering node or node relationship;
matching the query conditions with the display format data to obtain query results;
and the front end displays the query result.
7. The method of claim 1, further comprising:
responding to the situation that the data processing middleware does not acquire the knowledge graph data to be edited according to the configuration file, and sending a preset error prompt to a front end by the data processing middleware;
and the front end receives the preset error prompt and displays the preset error prompt to a user.
8. The method of any of claims 1-7, wherein the editing instructions comprise any one or more of: data addition, data deletion and data modification.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 8 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112052343A (en) * | 2020-09-11 | 2020-12-08 | 北京中亦安图科技股份有限公司 | Knowledge graph display method and device, electronic equipment and storage medium |
| CN112699252A (en) * | 2021-03-25 | 2021-04-23 | 成都数联铭品科技有限公司 | Processing method of attribute data applied to knowledge graph and electronic equipment |
| CN113111135A (en) * | 2021-04-22 | 2021-07-13 | 北京金山数字娱乐科技有限公司 | Knowledge graph construction method and device |
| CN113886482A (en) * | 2021-12-07 | 2022-01-04 | 北京华云安信息技术有限公司 | Automatic data storage method, device and equipment for graph database |
| WO2022023867A1 (en) * | 2020-07-27 | 2022-02-03 | International Business Machines Corporation | Direct data loading of middleware-generated records |
| CN114780083A (en) * | 2022-06-17 | 2022-07-22 | 之江实验室 | Visual construction method and device of knowledge map system |
| CN116303516A (en) * | 2023-04-21 | 2023-06-23 | 中信证券股份有限公司 | Method, device and related equipment for updating knowledge graph |
| US11934476B2 (en) | 2021-10-28 | 2024-03-19 | Toyota Research Institute, Inc. | System and method for contextualizing and improving understanding of web search results |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109636584A (en) * | 2018-11-19 | 2019-04-16 | 平安科技（深圳）有限公司 | Default Probability methods of exhibiting, device, computer equipment and storage medium |
| CN110633364A (en) * | 2019-09-23 | 2019-12-31 | 中国农业大学 | Graph database-based food safety knowledge graph construction method and display mode |
| CN110717050A (en) * | 2019-09-17 | 2020-01-21 | 金色熊猫有限公司 | Method and device for accessing knowledge map database |
| CN110727777A (en) * | 2019-10-12 | 2020-01-24 | 深圳追一科技有限公司 | Knowledge graph management method and device, computer equipment and storage medium |
| CN110795557A (en) * | 2019-12-11 | 2020-02-14 | 北京明略软件系统有限公司 | Knowledge graph display method and device |
-
2020
- 2020-03-23 CN CN202010209893.6A patent/CN111427901B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109636584A (en) * | 2018-11-19 | 2019-04-16 | 平安科技（深圳）有限公司 | Default Probability methods of exhibiting, device, computer equipment and storage medium |
| CN110717050A (en) * | 2019-09-17 | 2020-01-21 | 金色熊猫有限公司 | Method and device for accessing knowledge map database |
| CN110633364A (en) * | 2019-09-23 | 2019-12-31 | 中国农业大学 | Graph database-based food safety knowledge graph construction method and display mode |
| CN110727777A (en) * | 2019-10-12 | 2020-01-24 | 深圳追一科技有限公司 | Knowledge graph management method and device, computer equipment and storage medium |
| CN110795557A (en) * | 2019-12-11 | 2020-02-14 | 北京明略软件系统有限公司 | Knowledge graph display method and device |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2612727B (en) * | 2020-07-27 | 2023-08-23 | Ibm | Direct data loading of middleware-generated records |
| WO2022023867A1 (en) * | 2020-07-27 | 2022-02-03 | International Business Machines Corporation | Direct data loading of middleware-generated records |
| US11423025B2 (en) | 2020-07-27 | 2022-08-23 | International Business Machines Corporation | Direct data loading of middleware-generated records |
| GB2612727A (en) * | 2020-07-27 | 2023-05-10 | Ibm | Direct data loading of middleware-generated records |
| CN112052343A (en) * | 2020-09-11 | 2020-12-08 | 北京中亦安图科技股份有限公司 | Knowledge graph display method and device, electronic equipment and storage medium |
| CN112699252A (en) * | 2021-03-25 | 2021-04-23 | 成都数联铭品科技有限公司 | Processing method of attribute data applied to knowledge graph and electronic equipment |
| CN113111135A (en) * | 2021-04-22 | 2021-07-13 | 北京金山数字娱乐科技有限公司 | Knowledge graph construction method and device |
| US11934476B2 (en) | 2021-10-28 | 2024-03-19 | Toyota Research Institute, Inc. | System and method for contextualizing and improving understanding of web search results |
| CN113886482A (en) * | 2021-12-07 | 2022-01-04 | 北京华云安信息技术有限公司 | Automatic data storage method, device and equipment for graph database |
| CN113886482B (en) * | 2021-12-07 | 2022-03-08 | 北京华云安信息技术有限公司 | Automatic data storage method, device and equipment for graph database |
| CN114780083A (en) * | 2022-06-17 | 2022-07-22 | 之江实验室 | Visual construction method and device of knowledge map system |
| US11907390B2 (en) | 2022-06-17 | 2024-02-20 | Zhejiang Lab | Method and apparatus for visual construction of knowledge graph system |
| CN116303516A (en) * | 2023-04-21 | 2023-06-23 | 中信证券股份有限公司 | Method, device and related equipment for updating knowledge graph |
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