CN113010621A - Visual integration device and method based on GIS and knowledge graph and computing equipment - Google Patents
Visual integration device and method based on GIS and knowledge graph and computing equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a visual integration device, a visual integration method, a readable storage medium and a computing device based on a GIS and a knowledge graph, wherein the device comprises the following steps: the GIS view module, the knowledge map view module and the state sharing module; the GIS view module is used for rendering and presenting entity and relationship data input by the server in a GIS map; the knowledge graph view module is used for rendering and presenting the entity and the relation data input by the server in the knowledge graph view; the state sharing module is used for synchronizing data and carrying out differential processing on the data between the GIS view module and the knowledge map view module, so that a user can switch between the knowledge map view and the GIS map view; the attributes of the entity include at least a latitude and longitude field. By combining the GIS and the knowledge graph, the geographic entity is more accurately described, the rules and the prediction trend can be found in mass data, and the data analysis and mining capability of the knowledge graph is greatly expanded.
Description
Technical Field
The invention relates to the technical field of artificial intelligence and machine learning, in particular to a visual integration device and method based on a GIS and a knowledge graph, a readable storage medium and computing equipment.
Background
With the development of the internet, the content of the network data presents an explosive growth situation. Due to the characteristics of large scale, heterogeneous multiple and loose organization structure of the contents of the interconnection network, the method provides a challenge for people to effectively acquire information and knowledge. The Knowledge Graph (Knowledge Graph) lays a foundation for the intellectual organization and intelligent application of the internet era by virtue of the strong semantic processing capability and open organization capability of the Knowledge Graph.
In recent years, the term big data has been increasingly mentioned, which is used to describe and define the massive amount of data generated in the era of information explosion and to name the technological developments and innovations related thereto. Most big data are needed and can be fused with geographical spatio-temporal data, and the geographical big data based on positions are also in explosive growth in recent years. The spatial information is an important branch of big data, and the big data for travel, medical big data and business big data are more or less with spatial information attributes. The development trend of the spatial big data serving as an important support of the big data industry becomes the focus of the debate discussion of experts and scholars. The rapid development of the mobile internet enables 80% of the so-called big data to be related to the geographical position, the position is connected with all, the position service is ubiquitous, and the application of the big data of the geographical position is continuously expanded.
Although the spatial big data has a big data value, the real-time analysis and decision-making capability is insufficient due to low value density, and it is a great challenge to extract interested target information from the spatial big data in a targeted manner, so as to solve the problems of insufficient information quantity, poor timeliness and the like.
Disclosure of Invention
To this end, the present invention provides a GIS and knowledge-graph based visualization integration apparatus, method, readable storage medium and computing device in an effort to solve or at least mitigate at least one of the problems identified above.
According to an aspect of the embodiments of the present invention, there is provided a visualization integration device based on a GIS and a knowledge graph, including:
the GIS view module, the knowledge map view module and the state sharing module;
the GIS view module is used for adding an entity in a GIS map by marking a coordinate point, and rendering and displaying the entity and the relation data input by the server in the GIS map;
the knowledge graph view module is used for rendering and presenting entity and relationship data input by the server in a knowledge graph view;
the state sharing module is used for synchronizing data and carrying out differential processing on the data between the GIS view module and the knowledge map view module, so that a user can switch between the knowledge map view and the GIS map view;
wherein the attributes of the entity comprise at least a latitude and longitude field.
Optionally, the state sharing module is specifically configured to:
synchronizing data and carrying out difference quantization processing on the data between the GIS view module and the knowledge map view module, wherein when a user switches from the knowledge map view to the GIS map view, if the content of the GIS map view is not compatible with that of the knowledge map view, entity and relationship information contained in the knowledge map view is extracted, and the extracted entity and relationship information are provided for the GIS view module to display the GIS map view; when a user switches from the GIS map view to the knowledge map view, if the GIS map view is not compatible with the knowledge map view, the entity and relationship information contained in the GIS map view is extracted, and the extracted entity and relationship information is provided for the knowledge map view module to display the knowledge map view.
Optionally, the GIS view module is further configured to:
after the GIS map view is displayed according to the entity and relationship information provided by the state sharing module, the GIS map view is displayed in an expanding way according to the expanding attribute supported by the GIS map view;
the knowledge-graph view module is further to:
and after displaying the knowledge graph view according to the entity and relationship information provided by the state sharing module, performing expansion display on the knowledge graph view according to the expansion attribute supported by the knowledge graph view.
Optionally, the GIS view module is configured to, when performing extended display on the GIS view according to an extended attribute supported by the GIS map view, specifically:
displaying track information of a specified entity and entity distribution information in a preset range by adopting a three-dimensional GIS map view according to time information, height information and preset range information which are included in expansion attributes supported by the GIS map view;
or displaying entity distribution information in the preset range of the specified entity by adopting the GIS map view according to preset range information in the expansion attribute supported by the GIS map view;
or drawing a time line in the GIS map view according to time information in the extended attribute supported by the GIS map view;
or drawing an elevation line on the GIS map view according to the height information in the extended attribute supported by the GIS map view.
Optionally, the GIS view module is further configured to:
expanding and displaying the GIS map view according to the label, the attribute or the attribution information;
the knowledge-graph view module is further to:
and carrying out expansion display on the map view according to time, or geographic space, or distance information.
Optionally, the GIS view module is configured to, when an entity is added in the GIS map by marking the coordinate point, specifically:
receiving coordinate information marked by a user in a GIS map;
packaging the coordinate information and then sending the coordinate information to a server, adding an entity by the server and writing the entity into a graph database;
and receiving entity information related to the mark returned by the server.
Optionally, the GIS view module is configured to, when rendering and presenting the entity and the relationship data input by the server in the GIS map, specifically:
packaging the rendering related parameters and then sending the parameters to a server;
receiving entity and relationship data returned by the server in a streaming data form;
and according to the entity and the relation data, loading and rendering in the GIS map by using an asynchronous multithreading queue and then presenting.
According to another aspect of the embodiments of the present invention, a visualization integration method based on a GIS and a knowledge graph is provided, which includes:
acquiring entity and relationship data of the knowledge graph from a server;
rendering and presenting entity and relationship data input by a server in a GIS map, and rendering and presenting in a knowledge map;
switching between the GIS view and the knowledge map view according to an operation request of a user;
synchronizing operation results of users between the GIS view and the knowledge map view, and performing difference quantization processing on data of the GIS view and the knowledge map view;
wherein the attributes of the entity comprise at least a latitude and longitude field.
According to yet another aspect of the present invention, there is provided a readable storage medium having executable instructions thereon, which when executed, cause a computer to implement the functions implemented by the above-mentioned GIS and knowledgegraph-based visualization integration apparatus.
According to yet another aspect of the present invention, there is provided a computing device comprising: one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors to implement the functions of the above-described GIS and knowledge graph-based visualization integration apparatus.
According to the technical scheme provided by the invention, the spatial geographic big data, the knowledge graph and the GIS map are combined, so that the geographic entity is described more accurately, the rule and the prediction trend can be found in mass data, and the data analysis and mining capability of the knowledge graph is greatly expanded.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the principles of the invention.
FIG. 1 is a block diagram of an exemplary computing device;
FIG. 2 is a flowchart of a visual integration method based on GIS and knowledge-graph according to an embodiment of the invention;
FIG. 3 is a schematic structural diagram of a visual integration device based on GIS and knowledge-graph according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a visual integration system based on GIS and knowledge graph according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
FIG. 1 is a block diagram of an example computing device 100 arranged to implement a GIS and knowledge-graph based visualization integration method in accordance with the present invention. In a basic configuration 102, computing device 100 typically includes system memory 106 and one or more processors 104. A memory bus 108 may be used for communication between the processor 104 and the system memory 106.
Depending on the desired configuration, the processor 104 may be any type of process, including but not limited to: a microprocessor (μ P), a microcontroller (μ C), a Digital Signal Processor (DSP), or any combination thereof. The processor 104 may include one or more levels of cache, such as a level one cache 110 and a level two cache 112, a processor core 114, and registers 116. Example processor cores 114 may include Arithmetic Logic Units (ALUs), Floating Point Units (FPUs), digital signal processing cores (DSP cores), or any combination thereof. The example memory controller 118 may be used with the processor 104, or in some implementations the memory controller 118 may be an internal part of the processor 104.
Depending on the desired configuration, system memory 106 may be any type of memory, including but not limited to: volatile memory (such as RAM), non-volatile memory (such as ROM, flash memory, etc.), or any combination thereof. System memory 106 may include an operating system 120, one or more programs 122, and program data 124. In some implementations, the program 122 can be configured to execute instructions on an operating system by one or more processors 104 using program data 124.
Computing device 100 may also include an interface bus 140 that facilitates communication from various interface devices (e.g., output devices 142, peripheral interfaces 144, and communication devices 146) to the basic configuration 102 via the bus/interface controller 130. The example output device 142 includes a graphics processing unit 148 and an audio processing unit 150. They may be configured to facilitate communication with various external devices, such as a display terminal or speakers, via one or more a/V ports 152. Example peripheral interfaces 144 may include a serial interface controller 154 and a parallel interface controller 156, which may be configured to facilitate communication with external devices such as input devices (e.g., keyboard, mouse, pen, voice input device, touch input device) or other peripherals (e.g., printer, scanner, etc.) via one or more I/O ports 158. An example communication device 146 may include a network controller 160, which may be arranged to facilitate communications with one or more other computing devices 162 over a network communication link via one or more communication ports 164.
A network communication link may be one example of a communication medium. Communication media may typically be embodied by computer readable instructions, data structures, program modules, in a modulated data signal, such as a carrier wave or other transport mechanism, and may include any information delivery media. A "modulated data signal" may be a signal that has one or more of its data set or its changes made in such a manner as to encode information in the signal. By way of non-limiting example, communication media may include wired media such as a wired network or private-wired network, and various wireless media such as acoustic, Radio Frequency (RF), microwave, Infrared (IR), or other wireless media. The term computer readable media as used herein may include both storage media and communication media.
Computing device 100 may be implemented as part of a small-form factor portable (or mobile) electronic device such as a cellular telephone, a Personal Digital Assistant (PDA), a personal media player device, a wireless web-watch device, a personal headset device, an application specific device, or a hybrid device that include any of the above functions. Computing device 100 may also be implemented as a personal computer including desktop and notebook configurations, a server, a virtual computing device in a cluster of multiple computers.
Among other things, one or more programs 122 of computing device 100 include instructions for performing a method for GIS and knowledge-graph based visual integration in accordance with the present invention.
Fig. 2 is a flow chart illustrating a method for visual integration based on GIS and knowledge-graph according to the present invention, which starts with step S210.
In step S210, the entity and relationship data of the knowledge-graph are acquired from the server. The entity and relationship data of the knowledge graph acquired from the server can be presented in a view form only by rendering, and the rendering is used for presenting the entity and relationship in the knowledge graph in the view form, so that visualization is realized.
Subsequently, in step S220, the entity and relationship data input by the server are rendered in the GIS map and rendered in the knowledge graph.
The GIS view and map view may be 2D views or 3D views.
The entity and the relation data of the knowledge graph acquired from the server can be directly used for displaying the knowledge graph, in the embodiment of the invention, the entity and the relation data of the knowledge graph acquired from the server can also be used for displaying a GIS map view, and in order to realize the GIS map display, the attribute of the entity of the knowledge graph at least comprises a longitude and latitude field. Preferably, each entity of the knowledge-graph should also have a unique ID, so as to enable normal combined display on the graph view and GIS map.
Subsequently, in step S230, switching is performed between the GIS view and the knowledge map view according to the operation request of the user.
According to the embodiment of the invention, the display contents of the GIS view and the knowledge graph view are different, the GIS view can conveniently display the information of the geographic position, the coordinate, the time and the like of the entity, and the knowledge graph view is suitable for displaying the information of the label, the attribute, the attribution and the like.
The user can carry out different operations on the entity by switching between the GIS view and the knowledge graph view, thereby meeting the requirements under different scenes.
Subsequently, in step S240, the operation result of the user is synchronized between the GIS view and the knowledge-graph view, and the difference quantization process is performed on the data of the GIS view and the knowledge-graph view.
According to the embodiment of the invention, when a user operates one view, the other view responds, namely the two views are synchronous, the user can simultaneously operate the two views according to requirements, wherein the data of the two views are automatically subjected to difference quantization processing, so that the difference of the data attributes displayed by the two views is adapted.
Further, the entity and relationship information between the GIS view and the knowledge graph view are common, and the difference is that the knowledge graph view can display the label, the attribute and the attribution information, the GIS view can display the information of geographic position, coordinate, time and the like, and when the user switches between the GIS view and the knowledge graph view, the switched view can only extract the entity and relationship information operated by the user and render in the view.
Furthermore, the user can query or expand and display the current interface of the GIS view or the knowledge graph view through an interactive interface, and the GIS view and the knowledge graph view can be fully utilized to perform analysis. Taking a GIS view as an example, the GIS view comprises two expansion forms of space distance expansion and geographic space expansion. The spatial distance expansion refers to expanding or inquiring view contents according to the spatial distance of the entity, for example, after a user switches from a knowledge map view to a GIS view, displaying track information of a specified entity and entity distribution information in a track range by adopting a three-dimensional GIS map view according to time information, height information and preset range information included in expansion attributes supported by the GIS map view. In a practical application scene, a map view has an aircraft carrier entity, and if a user selects to expand according to a spatial distance, all related entities such as airplanes and protective ships in a certain range can be searched and displayed. If the GIS view is expanded, the plane and the protective vessel are different from the ground level in height and working environment, so that the protective vessel can be seen to sail on the sea level while the plane flies at a certain height. This is an effect that the map view cannot be embodied, and is also one of the differentiated view expressions.
In the embodiment of the invention, when the GIS and the map view cannot be consistent in view, the GIS is judged to be incompatible, for example, the map view can be subjected to rich layout operation, and the GIS cannot be embodied; and the GIS can display the air route and the historical track according to the time, and the map views cannot be reflected. When the GIS is incompatible with the map view, the basic entities and the relations are expressed first, and then the upgrading display processing is carried out on the basis of meeting the basic entities and the relation expression, if a certain node of the map view is an airplane and has an attack range attribute, the attack range of the changed entities can be automatically drawn when the node is switched to the GIS view, and the flight effect can also be simulated. And the view content can be flexibly upgraded and downgraded according to the user intention.
The embodiment of the invention also realizes the cross expansion function of two different views, and specifically, the GIS map view can be inquired or expanded and displayed according to the map view information such as labels, attributes or affiliations; the map view can be inquired or displayed in an expanded mode according to GIS view information such as time, geographic space or distance, user operation is simplified, and frequent switching between the two views is avoided.
The embodiment of the invention also realizes that the user adds the entity in the GIS map by marking the coordinate point, and the method specifically comprises the following steps: receiving coordinate information marked by a user in a GIS map;
packaging the coordinate information and then sending the coordinate information to a server, adding an entity by the server and writing the entity into a graph database;
and receiving entity information related to the mark returned by the server.
The embodiment of the invention also provides an optimized GIS view rendering and displaying process, which specifically comprises the following steps:
packaging the rendering related parameters and then sending the parameters to a server;
receiving entity and relationship data returned by the server in a streaming data form;
and according to the entity and the relation data, loading and rendering in the GIS map by using an asynchronous multithreading queue and then presenting.
According to the embodiment of the invention, on one hand, the entity data in the GIS and the map nodes are the same in the map database, but different view display methods are different, and each has side emphasis: entities under different layout methods of the knowledge map view are all in different positions, but GIS just emphasizes the connection of geographic space information, and the entity position is effective information; on the other hand, the GIS view and the knowledge map view can communicate, and the consistency of data is kept. For example, a coordinate is marked in the GIS view as a new entity added in the graph database as a new action, so that the new entity can be visible in the GIS view and can be also visible when the GIS view is switched to the knowledge graph view without performing redundant operation to be displayed. For another example, when the knowledge graph is expanded to load many new entities, and then the GIS view is switched, the loaded new entities are displayed in the GIS view.
In an embodiment of the present invention, a visual data analysis method based on a GIS and a knowledge graph is provided, including:
step 1: a user searches an entity;
step 2: the client side packages the parameter optimization related resources and sends a request to the server side;
and step 3: the server end receives the corresponding request and returns the stream data;
and 4, step 4: the client receives the streaming data, and the asynchronous multithreading queue is used for loading and rendering, so that the quick and smooth rendering of the server is realized and the rendering is displayed in a visual view;
and 5: a user selects geographical space and time as expansion conditions to expand the airplane, and after success, results are displayed in a visual view;
step 6: switching to a GIS view, and seeing the entity and the relation in the knowledge map, and also seeing the historical navigation line and the current position of the airplane;
and 7: carrying out space distance and time expansion on the airplane entity, and adding the space distance and the time difference distance of the current position of the airplane in the search range into the view;
and 8: and performing data analysis and mining.
Referring to fig. 3, the invention provides a visual integration device based on a GIS and a knowledge graph, comprising:
a GIS view module 310, a knowledge graph view module 320, and a state sharing module 330;
the GIS view module 310 is configured to add an entity in the GIS map by marking the coordinate point, and render and present the entity and the relationship data input by the server in the GIS map;
the knowledge graph view module 320 is used for rendering and presenting the entity and the relationship data input by the server in the knowledge graph view;
the state sharing module 330 is configured to synchronize data between the GIS view module and the knowledge-graph view module and perform delta processing on the data, so that a user can switch between the knowledge-graph view and the GIS map view;
wherein the attributes of the entity comprise at least a latitude and longitude field.
Optionally, the state sharing module 330 is specifically configured to:
synchronizing data and carrying out difference quantization processing on the data between the GIS view module and the knowledge map view module, wherein when a user switches from the knowledge map view to the GIS map view, if the content of the GIS map view is not compatible with that of the knowledge map view, entity and relationship information contained in the knowledge map view is extracted, and the extracted entity and relationship information are provided for the GIS view module to display the GIS map view; when a user switches from the GIS map view to the knowledge map view, if the GIS map view is not compatible with the knowledge map view, the entity and relationship information contained in the GIS map view is extracted, and the extracted entity and relationship information is provided for the knowledge map view module to display the knowledge map view.
Optionally, the GIS view module 310 is further configured to:
after the GIS map view is displayed according to the entity and relationship information provided by the state sharing module, the GIS map view is displayed in an expanding way according to the expanding attribute supported by the GIS map view;
the knowledge-graph view module 320 is further configured to:
and after displaying the knowledge graph view according to the entity and relationship information provided by the state sharing module, performing expansion display on the knowledge graph view according to the expansion attribute supported by the knowledge graph view.
Optionally, the GIS view module 310 is configured to, when performing extended display on the GIS view according to an extension attribute supported by the GIS map view, specifically:
displaying track information of a specified entity and entity distribution information in a preset range by adopting a three-dimensional GIS map view according to time information, height information and preset range information which are included in expansion attributes supported by the GIS map view;
or displaying entity distribution information in the preset range of the specified entity by adopting the GIS map view according to preset range information in the expansion attribute supported by the GIS map view;
or drawing a time line in the GIS map view according to time information in the extended attribute supported by the GIS map view;
or drawing an elevation line on the GIS map view according to the height information in the extended attribute supported by the GIS map view.
Optionally, the GIS view module 310 is further configured to:
expanding and displaying the GIS map view according to the label, the attribute or the attribution information;
the knowledge-graph view module 320 is further configured to:
and carrying out expansion display on the map view according to time, or geographic space, or distance information.
Optionally, the GIS view module 310 is configured to, when an entity is added to the GIS map by marking the coordinate point, specifically:
receiving coordinate information marked by a user in a GIS map;
packaging the coordinate information and then sending the coordinate information to a server, adding an entity by the server and writing the entity into a graph database;
and receiving entity information related to the mark returned by the server.
Optionally, the GIS view module 310 is configured to, when rendering and presenting the entity and the relationship data input by the server in the GIS map, specifically:
packaging the rendering related parameters and then sending the parameters to a server;
receiving entity and relationship data returned by the server in a streaming data form;
and according to the entity and the relation data, loading and rendering in the GIS map by using an asynchronous multithreading queue and then presenting.
As shown in fig. 4, the visualized integration device based on the GIS and the knowledge graph comprises a data transmission layer and a view layer, wherein the data transmission layer is used for data transmission with a server, the view layer comprises a knowledge graph view layer and a GIS view layer, and node state data are shared between the knowledge graph view layer and the GIS view layer.
It should be understood that the various techniques described herein may be implemented in connection with hardware or software or, alternatively, with a combination of both. Thus, the methods and apparatus of the present invention, or certain aspects or portions thereof, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other machine-readable storage medium, wherein, when the program is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention.
In the case of program code execution on programmable computers, the computing device will generally include a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. Wherein the memory is configured to store program code; the processor is configured to perform the various methods of the present invention according to instructions in the program code stored in the memory.
By way of example, and not limitation, computer readable media may comprise computer storage media and communication media. Computer-readable media includes both computer storage media and communication media. Computer storage media store information such as computer readable instructions, data structures, program modules or other data. Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. Combinations of any of the above are also included within the scope of computer readable media.
It should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the method of the invention should not be construed to reflect the intent: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing inventive embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
It will be appreciated by those skilled in the art that the modules or units or components of the apparatus in the examples invented herein may be arranged in an apparatus as described in this embodiment or may alternatively be located in one or more different apparatus than that in this example. The modules in the foregoing examples may be combined into one module or may be further divided into a plurality of sub-modules.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature of the invention in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Furthermore, some of the described embodiments are described herein as a method or combination of method elements that can be performed by a processor of a computer system or by other means of performing the described functions. A processor having the necessary instructions for carrying out the method or method elements thus forms a means for carrying out the method or method elements. Additionally, the elements of the device embodiments described herein are examples of devices as follows: the device is used to implement the functions performed by the elements for the purpose of implementing the invention.
As used herein, unless otherwise specified the use of the ordinal adjectives "first", "second", "third", etc., to describe a common object, merely indicate that different instances of like objects are being referred to, and are not intended to imply that the objects so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this disclosure, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Moreover, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention is to be considered as illustrative and not restrictive in character, with the scope of the invention being indicated by the appended claims.
Claims (10)
1. A visual integration device based on GIS and knowledge graph is characterized by comprising:
the GIS view module, the knowledge map view module and the state sharing module;
the GIS view module is used for adding an entity in a GIS map by marking a coordinate point, and rendering and displaying the entity and the relation data input by the server in the GIS map;
the knowledge graph view module is used for rendering and presenting the entity and the relation data input by the server in the knowledge graph view;
the state sharing module is used for synchronizing data and carrying out differential processing on the data between the GIS view module and the knowledge map view module, so that a user can switch between the knowledge map view and the GIS map view;
wherein the attributes of the entity comprise at least a latitude and longitude field.
2. The apparatus of claim 1, wherein the state sharing module is specifically configured to:
synchronizing data and carrying out differential processing on the data between the GIS view module and the knowledge map view module, wherein when a user switches from the knowledge map view to the GIS map view, if the content of the GIS map view is not compatible with the content of the knowledge map view, entity and relation information contained in the knowledge map view are extracted, and the extracted entity and relation information are provided for the GIS view module to display the GIS map view; when a user switches from the GIS map view to the knowledge map view, if the GIS map view is not compatible with the knowledge map view, the entity and relationship information contained in the GIS map view is extracted, and the extracted entity and relationship information is provided for the knowledge map view module to display the knowledge map view.
3. The apparatus of claim 2,
the GIS view module is further configured to:
after the GIS map view is displayed according to the entity and relationship information provided by the state sharing module, the GIS map view is displayed in an expanding way according to the expanding attribute supported by the GIS map view;
the knowledge-graph view module is further to:
and after displaying the knowledge graph view according to the entity and relationship information provided by the state sharing module, performing expansion display on the knowledge graph view according to the expansion attribute supported by the knowledge graph view.
4. The apparatus of claim 3, wherein the GIS view module, when being configured to perform extended display on the GIS view according to an extended attribute supported by the GIS map view, is specifically configured to:
displaying track information of a specified entity and entity distribution information in a preset range by adopting a three-dimensional GIS map view according to time information, height information and preset range information which are included in expansion attributes supported by the GIS map view;
or displaying entity distribution information in the preset range of the specified entity by adopting the GIS map view according to preset range information in the expansion attribute supported by the GIS map view;
or drawing a time line in the GIS map view according to time information in the extended attribute supported by the GIS map view;
or drawing an elevation line on the GIS map view according to the height information in the extended attribute supported by the GIS map view.
5. The apparatus of claim 4,
the GIS view module is further configured to:
carrying out expansion display on the GIS map view according to the label, the attribute or the attribution information;
the knowledge-graph view module is further to:
and carrying out expansion display on the map view according to time, or geographic space, or distance information.
6. The apparatus of claim 1, wherein the GIS view module, when adding entities by marking coordinate points in the GIS map, is specifically configured to:
receiving coordinate information marked by a user in a GIS map;
packaging the coordinate information and then sending the coordinate information to a server, adding an entity by the server and writing the entity into a graph database;
and receiving entity information related to the mark returned by the server.
7. The apparatus of claim 1, wherein the GIS view module is configured to, when rendering the entity and relationship data input by the server in a GIS map and then presenting the rendered entity and relationship data, specifically:
packaging the rendering related parameters and then sending the parameters to a server;
receiving entity and relationship data returned by the server in a streaming data form;
and according to the entity and the relation data, loading and rendering in the GIS map by using an asynchronous multithreading queue and then presenting.
8. A visual integration method based on GIS and knowledge graph is characterized by comprising the following steps:
acquiring entity and relationship data of the knowledge graph from a server;
rendering and presenting entity and relationship data input by a server in a GIS map, and rendering and presenting in a knowledge map;
switching between the GIS view and the knowledge map view according to an operation request of a user;
synchronizing operation results of users between the GIS view and the knowledge map view, and performing difference quantization processing on data of the GIS view and the knowledge map view;
wherein the attributes of the entity comprise at least a latitude and longitude field.
9. A readable storage medium having executable instructions thereon, which when executed, cause a computer to implement the functionality of any one of the apparatus of claims 1-7.
10. A computing device, comprising:
one or more processors;
a memory; and
one or more programs, wherein the one or more programs are stored in the memory and configured to implement the functions of any of claims 1-7 by the one or more processors.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113449120A (en) * | 2021-07-02 | 2021-09-28 | 航天海鹰机电技术研究院有限公司 | Pipeline safety comprehensive supervision method combined with spatial information |
| CN114928652A (en) * | 2022-04-29 | 2022-08-19 | 高德软件有限公司 | Map data transmission method, map data transmission device, electronic apparatus, storage medium, and program |
| CN115048478A (en) * | 2022-08-12 | 2022-09-13 | 深圳市其域创新科技有限公司 | Construction method, equipment and system of geographic information map of intelligent equipment |
| CN115344706A (en) * | 2022-07-22 | 2022-11-15 | 北京海致星图科技有限公司 | Method and device for visualizing timing diagram based on knowledge graph, storage medium and equipment |
| CN117033366A (en) * | 2023-10-09 | 2023-11-10 | 航天宏图信息技术股份有限公司 | Knowledge-graph-based ubiquitous space-time data cross verification method and device |
| CN117033669A (en) * | 2023-10-08 | 2023-11-10 | 之江实验室 | Knowledge graph-based analysis system generation method and device and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030061211A1 (en) * | 2000-06-30 | 2003-03-27 | Shultz Troy L. | GIS based search engine |
| CN110856186A (en) * | 2019-11-19 | 2020-02-28 | 北京联合大学 | Method and system for constructing wireless network knowledge graph |
| CN111191040A (en) * | 2019-11-13 | 2020-05-22 | 腾讯科技（深圳）有限公司 | City operation knowledge graph construction method and device and computer equipment |
-
2020
- 2020-12-07 CN CN202011435904.9A patent/CN113010621B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030061211A1 (en) * | 2000-06-30 | 2003-03-27 | Shultz Troy L. | GIS based search engine |
| CN111191040A (en) * | 2019-11-13 | 2020-05-22 | 腾讯科技（深圳）有限公司 | City operation knowledge graph construction method and device and computer equipment |
| CN110856186A (en) * | 2019-11-19 | 2020-02-28 | 北京联合大学 | Method and system for constructing wireless network knowledge graph |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113449120A (en) * | 2021-07-02 | 2021-09-28 | 航天海鹰机电技术研究院有限公司 | Pipeline safety comprehensive supervision method combined with spatial information |
| CN113449120B (en) * | 2021-07-02 | 2023-06-16 | 航天海鹰机电技术研究院有限公司 | Pipeline safety comprehensive supervision method combining spatial information |
| CN114928652A (en) * | 2022-04-29 | 2022-08-19 | 高德软件有限公司 | Map data transmission method, map data transmission device, electronic apparatus, storage medium, and program |
| CN115344706A (en) * | 2022-07-22 | 2022-11-15 | 北京海致星图科技有限公司 | Method and device for visualizing timing diagram based on knowledge graph, storage medium and equipment |
| CN115048478A (en) * | 2022-08-12 | 2022-09-13 | 深圳市其域创新科技有限公司 | Construction method, equipment and system of geographic information map of intelligent equipment |
| CN115048478B (en) * | 2022-08-12 | 2022-10-21 | 深圳市其域创新科技有限公司 | Construction method, equipment and system of geographic information map of intelligent equipment |
| WO2024032717A1 (en) * | 2022-08-12 | 2024-02-15 | 深圳市其域创新科技有限公司 | Geographic information graph constructing method and system for intelligent devices, and device |
| CN117033669A (en) * | 2023-10-08 | 2023-11-10 | 之江实验室 | Knowledge graph-based analysis system generation method and device and electronic equipment |
| CN117033669B (en) * | 2023-10-08 | 2024-01-09 | 之江实验室 | Knowledge graph-based analysis system generation method and device and electronic equipment |
| CN117033366A (en) * | 2023-10-09 | 2023-11-10 | 航天宏图信息技术股份有限公司 | Knowledge-graph-based ubiquitous space-time data cross verification method and device |
| CN117033366B (en) * | 2023-10-09 | 2023-12-29 | 航天宏图信息技术股份有限公司 | Knowledge-graph-based ubiquitous space-time data cross verification method and device |
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