CN111427901B - Interactive knowledge graph data editing method, computer equipment and storage medium - Google Patents
Interactive knowledge graph data editing method, computer equipment and storage medium Download PDFInfo
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/242—Query formulation
- G06F16/2428—Query predicate definition using graphical user interfaces, including menus and forms
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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 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 edit 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 the fragmented knowledge can be effectively organized between nodes and edges (node relations) forming the knowledge graph to form a knowledge graph database. The knowledge graph data can realize quick and effective retrieval of certain information, and is a powerful tool for realizing machine intelligence. Knowledge-graph data can be combined with corresponding business requirements during construction, however, the actual use is often difficult to meet the changed business requirements because the business requirements are often changed.
The existing knowledge graph research is mainly focused on data construction or model construction, and when the problems are faced, a user can reconstruct a knowledge graph according to new business requirements, but the construction process of the knowledge graph data is very complicated; or the user can also adjust the constructed knowledge graph data in a programming mode, but the method inevitably needs to modify the data in the database by using a programming language, so that the requirement of operators is higher; it can be seen that the maintenance costs of the above two approaches are large and not universal for changing business requirements.
Disclosure of Invention
Based on this, it is necessary to provide an interactive knowledge-graph data compiling method, a computer device and a storage medium capable of quickly adapting the storage type of the constructed knowledge-graph data, and realizing the compiling of the knowledge-graph data without programming, aiming at the technical problems.
An interactive knowledge-graph data editing method, the method comprising:
the front end acquires a configuration file of 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 edit instruction input by a user.
In one embodiment, the method further comprises:
the front end sends the edited display format data to the 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 type of the graphic database includes any one or more of the following: neo4j, janus Graph, arango DB, orient DB, beam, and GraphView.
In one embodiment, the step of the data processing middleware receiving the configuration file and obtaining knowledge-graph data to be edited from a graph database according to the configuration file includes:
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 the corresponding relation between 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 utilizing the corresponding data processing module, wherein each type of database corresponds to one preset data processing module;
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 a graph database by utilizing the query language, wherein the query language comprises any one or more of the following: cypher, SQL, SPARQL, nCQL, germlin.
In one embodiment, 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 includes:
and converting the format and the type of the data to be edited by utilizing 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 filtering the node or node relationship;
matching the query condition with the display format data to obtain a query result;
and the front end displays the query result.
In one embodiment, the method further comprises:
responding to the fact that the data processing middleware does not acquire the knowledge-graph data to be edited according to the configuration file, and then 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.
In one embodiment, the editing instructions include any one or more of the following: data addition, data deletion, data modification.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements 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, the display format data are modified at the front end according to the editing instruction input by the user, the local editing of the constructed knowledge graph data is realized, and the maintenance and management cost of the knowledge graph data is reduced.
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In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application and that other embodiments may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an interactive knowledge-graph data compiling method according to an embodiment;
FIG. 2 is a block diagram of an interactive knowledge-graph data organization method in another embodiment;
FIG. 3 is an internal block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the following embodiments of the present application will be described in further detail with reference to the accompanying drawings.
It should be noted that, in the embodiments of the present application, all the expressions "first" and "second" are used to distinguish two entities with the same name but different entities or different parameters, and it is noted that the "first" and "second" are only used for convenience of expression, and should not be construed as limiting the embodiments of the present application, and the following embodiments are not described one by one.
As shown in fig. 1, the method for compiling the interactive knowledge graph data provided by the application specifically comprises 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 knowledge graph data to be edited from the graph database according to the configuration file.
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.
S400, the front end receives the display format data, and edits the display format data according to an edit instruction input by a user.
According to the interactive knowledge graph data editing method, the constructed knowledge graph data stored in the graph database is converted into the display format data by utilizing the data processing middleware, and the display format data is 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 cost of the knowledge graph data is reduced.
In yet another embodiment, please refer to fig. 2, there is provided a method for editing 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.
The front end is not limited to Web pages or APP and the like created by devices such as a personal computer, a notebook computer, a smart phone, a tablet personal computer and the like, and can display a front end interface to a user so as to realize man-machine interaction. The configuration file is a YUML format file, and the configuration file mainly comprises three fields: gaphDatabaseType, dataBaseAccount, dataBasePassword, the database type, account number and login password of the database for storing the knowledge graph are respectively stored. 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 the option setting provided by the interface, and the account name, the account password and the like of the corresponding graphic database can be input into the corresponding input box while the database type is selected; of course, the user may select the specified YUML format file on the front-end interface.
S200, the data processing middleware receives the configuration file and acquires knowledge graph data to be edited from the graph database according to the configuration file; wherein the data types of the graphic database include any one or more of the following: neo4j, janus Graph, arango DB, orient DB, beam, and GraphView.
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.
S220, matching the corresponding relation between the data type and a 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, and the data processing modules can process what type of data is 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 adopts a preset matching algorithm for processing.
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 a graph database by utilizing the query language, wherein the query language comprises any one or more of the following: cypher, SQL, SPARQL, nCQL, germlin.
The data processing module is internally provided with different database query languages, so that knowledge graph data to be edited can be queried through a proper query language after the data processing module is connected with the graph database.
In addition, when the step 200 is executed in the specific implementation process, in response to the data processing middleware not obtaining 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 the 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 mutually convert data in a type database and display format data, the data in the graphic database can be converted into display format data, the display format data can be converted into a data format stored in the graphic database again, 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 are used as display format data, the display format data are data which can be displayed at the front end, and therefore the data can be converted into a unified display data format by the data processing middleware no matter what type of knowledge graph data to be edited are stored, and therefore differences of persistence storage of the bottom knowledge graph data are shielded.
S400, the front end receives the display format data, and edits the display format data according to an edit instruction input by a user.
The front end provides a map display page, and further the front end can display format data on the map display page. The display page is provided with an editing toolbar, and a user can count the display formats by using a tool of the toolbar. For example, a node icon may be set in the toolbar, and the user adds a node to the map display page by dragging, or may select an existing node and modify attribute information of the existing node. The preferred editing instructions may be an addition of a section, a deletion of data, a modification of data, or the like.
According to the method for editing the mutual knowledge Graph data, the difference of persistence storage of the knowledge Graph data is shielded, the data processing middleware can convert Neo4j, janus Graph, arango DB, orient DB, beam and Graph view into a unified display format through the corresponding data processing module, so that a user can carry out local editing on the constructed knowledge Graph data with different storage types on the terminal, the operation difficulty of user editing is reduced, and the universality is particularly good.
In yet another embodiment, based on the foregoing embodiment, an interactive knowledge-graph data compiling method is provided, and specifically the method further includes:
s500, the front end sends the edited display format data to the data processing middleware;
and S600, the data processing middleware receives the edited display format data and updates the graphic database according to the configuration file.
In the implementation process, after the user finishes editing the display data format, the user can trigger corresponding requests, such as storage, update 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 are updated.
In yet another embodiment, the front-end presentation page provides a search box for the user to query node information, and the specific interactive knowledge-graph data compiling method further includes the following steps:
the front end receives query conditions input by a user, wherein the query conditions comprise: a certain node or node relationship, and/or filtering the 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 condition may be that the node must be traversed, or that the node need not be traversed. And matching the query condition with the display format data to obtain a query result, and displaying the query result by the front end.
According to the method for editing the interactive knowledge graph, the function of node query is provided for the user at the front end, the operation of the user is convenient, and the query result can be intuitively displayed to the user.
According to another aspect of the present application, there is provided a computer device, which may be a server, and an internal structure thereof 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 includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a graphics database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. 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 programming method described above.
According to a further aspect of the present application, 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 should be understood that all embodiments, features and advantages set forth above for the method of health assessment of an aircraft engine according to the application equally apply to the computer device and the storage medium according to the application, without conflicting with each other. That is, all embodiments of the method for health assessment of an aircraft engine and variations thereof described above may be directly transferred to and incorporated into computer devices and storage media in accordance with the present application. For the sake of brevity of this disclosure, the description is not repeated here.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, graphics database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (7)
1. An interactive knowledge-graph data editing method, characterized in that the method comprises the following steps:
the method comprises the steps that a front end obtains a configuration file of knowledge graph data to be edited, and the configuration file is sent to a data processing middleware, wherein the knowledge graph data to be edited are constructed knowledge graph data stored in a graph database, and the configuration file comprises three fields: gaphDatabaseType, dataBaseAccount, dataBasePassword, which are respectively a database type for storing the knowledge graph, an account number of the database and a database login password;
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;
the front end receives the display format data and edits the display format data according to an edit instruction input by a user;
the method further comprises the steps of:
the front end sends the edited display format data to the data processing middleware;
the data processing middleware receives the edited display format data and updates the graphic database according to the configuration file;
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 are updated;
wherein the data type of the graphic database comprises any one or more of the following: neo4j, janus Graph, arango DB, orient DB, beam, and Graph view;
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 the corresponding relation between 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 utilizing the corresponding data processing module, wherein each type of database corresponds to one preset data processing module;
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 a graph database by utilizing the query language, wherein the query language comprises any one or more of the following: cypher, SQL, SPARQL, nCQL, germlin;
the data processing module is internally provided with different database query languages, so that knowledge graph data to be edited can be queried through a proper query language after the data processing module is connected with the graph database.
2. The method of claim 1, wherein the step of the data processing middleware converting the knowledge-graph data to be edited into presentation format data and transmitting the presentation format data to a front end comprises:
and converting the format and the type of the data to be edited by utilizing a data processing module corresponding to the data type, and taking the converted data as display format data.
3. The method according to claim 1, wherein 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;
matching the query condition with the display format data to obtain a query result;
and the front end displays the query result.
4. The method according to claim 1, wherein the method further comprises:
responding to the fact that the data processing middleware does not acquire the knowledge-graph data to be edited according to the configuration file, and then 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.
5. The method of any one of claims 1-4, wherein the editing instructions comprise any one or more of: data addition, data deletion, data modification.
6. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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