CN113010621B - Visual integration device, method and computing equipment based on GIS and knowledge graph - Google Patents

Visual integration device, method and computing equipment based on GIS and knowledge graph Download PDF

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Publication number
CN113010621B
CN113010621B CN202011435904.9A CN202011435904A CN113010621B CN 113010621 B CN113010621 B CN 113010621B CN 202011435904 A CN202011435904 A CN 202011435904A CN 113010621 B CN113010621 B CN 113010621B
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gis
view
entity
map view
knowledge
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CN113010621A (en
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洪万福
钱智毅
唐志明
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Xiamen Yuanting Information Technology Co ltd
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Xiamen Yuanting Information Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/34Browsing; Visualisation therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology

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 GIS and a knowledge graph, wherein the device comprises the following components: the system comprises a GIS view module, a knowledge map view module and a state sharing module; the GIS view module is used for rendering entity and relationship data input by the server in a GIS map and then presenting the rendered entity and relationship data; the knowledge graph view module is used for rendering the entity and the relation data input by the server in the knowledge graph view and then presenting the rendered entity and the relation data; the state sharing module is used for synchronizing data and performing 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 attribute of the entity at least comprises a longitude and latitude field. By combining the GIS with the knowledge graph, the geographic entity is described more accurately, so that the rule and the prediction trend can be found in mass data, and the data analysis mining capability of the knowledge graph is greatly expanded.

Description

Visual integration device, method and computing equipment based on GIS and knowledge graph
Technical Field
The invention relates to the technical field of artificial intelligence and machine learning, in particular to a visual integration device, a visual integration method, a readable storage medium and a computing device based on GIS and a knowledge graph.
Background
With the development of the internet, network data content presents an explosively growing situation. Because of the characteristics of large scale, heterogeneous and multiple content and loose organization structure of the internet, the method provides challenges for people to effectively acquire information and knowledge. The Knowledge Graph lays a foundation for Knowledge organization and intelligent application in the Internet age by the strong semantic processing capability and open organization capability.
In recent years, the term big data is increasingly mentioned, and people use the big data to describe and define massive data generated in the information explosion age and name the technical development and innovation related to the big data. Most big data is needed and can be fused with geographical spatiotemporal data, and location-based geographical big data has also exploded in recent years. Spatial information is an important branch of big data, whether travel big data, medical big data, business big data, more or less with spatial information attribute. The spatial big data is used as an important support of big data industry, and the development trend of the spatial big data is the focus of discussion of expert scholars. The high-speed development of the mobile internet makes 80% of the large data of the mobile internet related to the geographic position, and the 'position' is connected everywhere, so that the position service is ubiquitous, and the application of the large data of the geographic position is continuously expanded.
The problem that the space big data has large value, but the value density is low, so that the real-time analysis decision-making capability is insufficient, and how to pertinently extract interesting target information from the space big data is a huge challenge, and the problems of insufficient information quantity, poor timeliness and the like are solved.
Disclosure of Invention
Accordingly, the present invention provides a visual integration apparatus, method, readable storage medium and computing device based on GIS and knowledge-graph, in an effort to solve or at least alleviate at least one of the above problems.
According to an aspect of the embodiment of the present invention, there is provided a visual integration device based on GIS and a knowledge graph, including:
the system comprises a GIS view module, a knowledge map view module and a state sharing module;
the GIS view module is used for adding an entity in the GIS map by marking coordinate points, and rendering the entity and the relation data input by the server in the GIS map and then presenting the entity and the relation data;
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 performing 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 attribute of the entity at least comprises a longitude and latitude field.
Optionally, the state sharing module is specifically configured to:
synchronizing data and performing 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 GIS map view is incompatible with the knowledge map view, entity and relationship information contained in the knowledge map view are 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 incompatible with the knowledge map view, extracting entity and relation information contained in the GIS map view, and providing the extracted entity and relation information 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 relation information provided by the state sharing module, the GIS map view is expanded and displayed according to expansion attributes supported by the GIS map view;
the knowledge graph view module is further configured to:
and after the knowledge graph view is displayed according to the entity and relation information provided by the state sharing module, the knowledge graph view is expanded and displayed according to expansion attributes supported by the knowledge graph view.
Optionally, the GIS view module is configured to, when performing expansion display on the GIS view according to expansion attributes supported by the GIS map view, specifically:
according to time information, height information and preset range information included in the expansion attribute supported by the GIS map view, displaying track information of a specified entity and entity distribution information in a preset range by adopting the three-dimensional GIS map view;
or displaying entity distribution information within a preset range of a specified entity by adopting the GIS map view according to preset range information included in the expansion attribute supported by the GIS map view;
or, according to time information included in the expansion attribute supported by the GIS map view, drawing a time line in the GIS map view;
or, according to the height information included in the expansion attribute supported by the GIS map view, drawing an elevation line on the GIS map view.
Optionally, the GIS view module is further configured to:
expanding and displaying the GIS map view according to the labels, or the attributes or the attribution information;
the knowledge graph view module is further configured to:
and expanding and displaying the map view according to the time, the geographic space or the distance information.
Optionally, the GIS view module is configured to, when an entity is newly added in the GIS map by marking a coordinate point, specifically:
receiving coordinate information marked by a user in a GIS map;
the coordinate information is packaged and then sent to a server, and a new entity is added by the server and written into a graph database;
and receiving entity information associated with the marks returned by the server.
Optionally, the GIS view module is configured to, when rendering and presenting entity and relationship data input by the server in the GIS map, specifically:
packaging rendering related parameters and then sending the parameters to a server;
receiving entity and relation data returned by the server in the form of stream data;
and according to the entity and the relation data, using an asynchronous multithreading queue to load and render the GIS map and then presenting the GIS map.
According to still another aspect of the embodiment of the present invention, there is provided a visual integration method based on GIS and a knowledge graph, including:
acquiring entity and relation data of a knowledge graph from a server;
rendering entity and relation data input by a server in a GIS map and rendering the entity and relation data in a knowledge map;
switching between the GIS view and the knowledge graph view according to the operation request of the user;
synchronizing the operation result of the user between the GIS view and the knowledge graph view, and performing differential processing on the data of the GIS view and the knowledge graph view;
wherein the attribute of the entity at least comprises a longitude and latitude field.
According to still 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 GIS and knowledge-graph based visualization integration apparatus described above.
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 implement, by the one or more processors, the functions implemented by the GIS and knowledge graph spectrum based visual integration device described above.
According to the technical scheme provided by the invention, the spatial geographic big data, the knowledge map and the GIS map are combined, so that geographic entities are described more accurately, the finding of rules and prediction trends in mass data is facilitated, and the data analysis mining capacity of the knowledge map 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 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 schematic flow chart 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 integrating device based on GIS and knowledge-graph according to an embodiment of the present invention;
fig. 4 is a schematic architecture diagram of a visual integration system based on GIS and knowledge-graph according to an embodiment of the 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 present invention are shown in the drawings, it should be understood that the present invention may 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 visual integration method in accordance with the present invention. In a basic configuration 102, computing device 100 typically includes a system memory 106 and one or more processors 104. The 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 processing including, but not limited to: a microprocessor (μp), a microcontroller (μc), a digital information processor (DSP), or any combination thereof. Processor 104 may include one or more levels of caches, such as a first level cache 110 and a second level cache 112, a processor core 114, and registers 116. The example processor core 114 may include an Arithmetic Logic Unit (ALU), a Floating Point Unit (FPU), a digital signal processing core (DSP core), 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. The system memory 106 may include an operating system 120, one or more programs 122, and program data 124. In some implementations, the program 122 may be configured to execute instructions on an operating system by the one or more processors 104 using the 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 basic configuration 102 via 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 communications via one or more I/O ports 158 and 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.). An example communication device 146 may include a network controller 160, which may be arranged to facilitate communication with one or more other computing devices 162 via one or more communication ports 164 over a network communication link.
The 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, and may include any information delivery media in a modulated data signal, such as a carrier wave or other transport mechanism. A "modulated data signal" may be a signal that has one or more of its data set or changed 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 special purpose network, and 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-sized 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 may include any of the above functions. Computing device 100 may also be implemented as a virtual computing device in a cluster of multiple computers, including personal computers, servers, including desktop and notebook computer configurations.
Wherein the one or more programs 122 of the computing device 100 include instructions for performing a GIS and knowledge-graph based visualization integration method in accordance with the present invention.
Fig. 2 schematically shows a flowchart of a method for integrating visualization based on GIS and knowledge-graph according to the present invention, and the method starts in step S210.
In step S210, entity and relationship data of the knowledge graph are obtained from the server. The entity and relation data of the knowledge graph obtained from the server side can be presented in a view mode through rendering, and rendering is used for presenting the entity and relation in the knowledge graph in the view mode, so that visualization is achieved.
Subsequently, in step S220, the entity and relationship data input by the server are rendered in the GIS map and then rendered in the knowledge graph.
The GIS view and the map view can be 2D views or 3D views.
The entity and the relationship data of the knowledge graph obtained from the server can be directly used for knowledge graph display, and in the embodiment of the invention, the entity and the relationship data of the knowledge graph obtained from the server can also be used for GIS map view display, and in order to realize GIS map display, the attribute of the entity of the knowledge graph at least comprises longitude and latitude fields. Preferably, each entity of the knowledge graph should also have a unique ID, so as to achieve a normal combined display on the graph view and the GIS map.
Subsequently, in step S230, switching is performed between the GIS view and the knowledge graph view according to an 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, coordinates, time and the like of the entity, and the knowledge graph view is suitable for displaying the information of labels, attributes, attributions and the like.
The user can perform different operations on the entity by switching between the GIS view and the knowledge graph view, so that the requirements under different scenes are met.
Subsequently, in step S240, the operation result of the user is synchronized between the GIS view and the knowledge-graph view, and the data of the GIS view and the knowledge-graph view are subjected to a differential processing.
According to the embodiment of the invention, when a user operates one view, the other view also responds, namely the two views are synchronous, and the user can operate between the two views according to the requirement, wherein the data of the two views are automatically subjected to differential processing, so that the difference of the data attributes displayed by the two views is adapted.
Further, the entity and relation information between the GIS view and the knowledge graph view are common, and the difference is that the knowledge graph view can display labels, attributes and attribution information, the GIS view can display geographic position, coordinates, time and other information, and when a user switches between the GIS view and the knowledge graph view, the switched view can only extract the entity and relation information after the user operates and render the entity and relation information in the view.
Further, the user can query or expand and display the interface of the current GIS view or the knowledge graph view through the interactive interface, so that the respective advantages of the GIS view and the knowledge graph view can be fully utilized to expand and analyze. Taking a GIS view as an example, the method comprises two expansion forms of space expansion and geographic space expansion. The spatial distance expansion refers to expanding or inquiring the view content according to the spatial distance of the entity, for example, when a user switches from a knowledge map view to a GIS view, the three-dimensional GIS map view is adopted to display track information of a specified entity and entity distribution information in a track range according to time information, height information and preset range information included in expansion attributes supported by the GIS map view. In a real application scene, the map view has an aircraft carrier entity, and a user selects expansion according to a space distance, so that all relevant entities such as an aircraft and a guard ship within a certain range can be searched and displayed. If the expansion is performed in the GIS view, the aircraft and the guard ship are different from the ground level in height and working environment, so that the guard ship can fly at sea level while the aircraft flies at a certain height. This is an effect that cannot be seen in the atlas view, and is one of the differential view manifestations.
In the embodiment of the invention, when the GIS and the map view are not consistent in view expression, the GIS and the map view are judged to be incompatible, for example, the map view can be subjected to rich layout operation, and the GIS cannot be embodied; and GIS can show route and history track according to time, these map looks can't embody. When the GIS is incompatible with the map view, the basic entity and the relationship are expressed, and on the basis of meeting the basic entity and the relationship expression, upgrading display processing is performed, if a certain node of the map view is an airplane and has an attack range attribute, when the GIS is switched to the GIS view, the attack range of the entity can be automatically drawn, and the flight effect can be simulated. The video content can be flexibly upgraded and downgraded according to the intention of the user.
The embodiment of the invention also realizes the cross expansion function of two different views, and particularly can query or expand and display the GIS map view according to the map view information such as labels, attributes, attributions and the like; the map view can be queried or expanded and displayed according to the GIS view information such as time, geographic space, distance and the like, so that the user operation is simplified, and the 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 points, and specifically comprises the following steps: receiving coordinate information marked by a user in a GIS map;
the coordinate information is packaged and then sent to a server, and a new entity is added by the server and written into a graph database;
and receiving entity information associated with the marks returned by the server.
The embodiment of the invention also provides an optimized GIS view rendering and displaying flow, which specifically comprises the following steps:
packaging rendering related parameters and then sending the parameters to a server;
receiving entity and relation data returned by a server in the form of stream data;
and loading rendering in the GIS map by using an asynchronous multithreading queue according to the entity and the relation data, and then rendering.
According to the embodiment of the invention, on one hand, the entity data in each of the GIS and map nodes is the same in the map database, but different view showing methods are different, and each side point is: the entities under different layout methods of the knowledge graph view are all located at different positions, but the GIS just emphasizes the connection of the geographic space information, and the entity positions are the effective information; on the other hand, the GIS view can be communicated with the knowledge graph view, so that the consistency of data is maintained. For example, a coordinate is marked in the GIS view as a new entity in the map database as a new behavior, so that the new entity can be visible in the GIS view and can be displayed without performing redundant operations when switching to the knowledge graph view. For another example, when a plurality of new entities are loaded in the expansion operation of the knowledge graph, and the knowledge graph is switched to the GIS view, the new entities loaded at the moment are displayed in the GIS view.
In a specific embodiment of the present invention, a method for analyzing visual data based on GIS and a knowledge graph is provided, including:
step 1: the user searches for an entity;
step 2: the client encapsulates the parameter optimization related resources and sends a request to the server;
step 3: the server receives the corresponding request and returns stream data;
step 4: the client receives the streaming data, loads rendering by using an asynchronous multithreading queue, realizes quick and smooth rendering of the server, and displays the rendering in the visual view;
step 5: the user selects the geographic space and the time as expansion conditions to expand one plane, and the result is displayed to a visual view after success;
step 6: switching to a GIS view, and seeing the entity and the relation in the knowledge graph and also seeing the history navigation line and the current position of the airplane;
step 7: expanding the space distance and the time of the airplane entity, wherein the difference distance between the space distance and the time of the current position of the airplane is added into the view within the searching range;
step 8: data analysis and mining are performed.
Referring to fig. 3, the invention provides a visual integrating device based on GIS and knowledge graph, comprising:
a GIS view module 310, a knowledge graph view module 320, and a status sharing module 330;
the GIS view module 310 is configured to add a new entity in the GIS map by marking coordinate points, and render the entity and the relationship data input by the server in the GIS map;
the knowledge graph view module 320 is configured to render the entity and the relationship data input by the server in the knowledge graph view and then present the rendered entity and the relationship data;
the state sharing module 330 is configured to synchronize data between the GIS view module and the knowledge map view module and perform differential processing on the data, so that a user can switch between the knowledge map view and the GIS map view;
wherein the attribute of the entity at least comprises a longitude and latitude field.
Optionally, the state sharing module 330 is specifically configured to:
synchronizing data and performing 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 GIS map view is incompatible with the knowledge map view, entity and relationship information contained in the knowledge map view are 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 incompatible with the knowledge map view, extracting entity and relation information contained in the GIS map view, and providing the extracted entity and relation information 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 relation information provided by the state sharing module, the GIS map view is expanded and displayed according to expansion attributes supported by the GIS map view;
the knowledge graph view module 320 is further configured to:
and after the knowledge graph view is displayed according to the entity and relation information provided by the state sharing module, the knowledge graph view is expanded and displayed according to expansion attributes supported by the knowledge graph view.
Optionally, the GIS view module 310 is configured to, when performing expansion display on the GIS view according to the topology attribute supported by the GIS map view, specifically:
according to time information, height information and preset range information included in the expansion attribute supported by the GIS map view, displaying track information of a specified entity and entity distribution information in a preset range by adopting the three-dimensional GIS map view;
or displaying entity distribution information within a preset range of a specified entity by adopting the GIS map view according to preset range information included in the expansion attribute supported by the GIS map view;
or, according to time information included in the expansion attribute supported by the GIS map view, drawing a time line in the GIS map view;
or, according to the height information included in the expansion attribute supported by the GIS map view, drawing an elevation line on the GIS map view.
Optionally, the GIS view module 310 is further configured to:
expanding and displaying the GIS map view according to the labels, or the attributes or the attribution information;
the knowledge graph view module 320 is further configured to:
and expanding and displaying the map view according to the time, the geographic space or the distance information.
Optionally, the GIS view module 310 is configured to, when an entity is added by marking a coordinate point in the GIS map, specifically:
receiving coordinate information marked by a user in a GIS map;
the coordinate information is packaged and then sent to a server, and a new entity is added by the server and written into a graph database;
and receiving entity information associated with the marks returned by the server.
Optionally, the GIS view module 310 is configured to, when rendering the entity and relationship data input by the server in the GIS map, specifically:
packaging rendering related parameters and then sending the parameters to a server;
receiving entity and relation data returned by the server in the form of stream data;
and according to the entity and the relation data, using an asynchronous multithreading queue to load and render the GIS map and then presenting the GIS map.
As shown in fig. 4, the visual integrating device based on the GIS and the knowledge graph includes a data transmission layer and a view layer, the data transmission layer is used for data transmission with the server, the view layer includes a knowledge graph view layer and a GIS view layer, and node state data is 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 of the methods and apparatus of the present invention, 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 in accordance with instructions in the program code stored in the memory.
By way of example, and not limitation, computer readable media comprise computer storage media and communication media. Computer-readable media include computer storage media and communication media. Computer storage media stores 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 above 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 disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the method of the invention should not be interpreted as reflecting the intention: i.e., the claimed invention 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 disclosed 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.
Those skilled in the art will appreciate that the modules or units or components of the devices in the examples invented herein may be arranged in a device as described in this embodiment, or alternatively may be located in one or more devices different from the devices in this example. The modules in the foregoing embodiments 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 apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. 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 of the invention in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so invented, may be combined in any combination, except combinations where at least some of such features and/or processes or units 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 but not others included in other embodiments, 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 can be used in any combination.
Furthermore, some of the embodiments are described herein as methods or combinations of method elements that may be implemented by a processor of a computer system or by other means of performing the functions. Thus, a processor with the necessary instructions for implementing the method or method element forms a means for implementing the method or method element. Further, the elements described herein for the device embodiments are examples of the following devices: the apparatus is for carrying out the functions performed by the elements for carrying out the objects of the invention.
As used herein, unless otherwise specified the use of the ordinal terms "first," "second," "third," etc., to describe a general object merely denote different instances of like objects, and are not intended to imply that the objects so described must have a given order, 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 the above description, will appreciate that other embodiments are contemplated within the scope of the invention as described herein. Furthermore, 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 invention as set forth is intended to be illustrative, not limiting, in scope, and is defined by the appended claims.

Claims (7)

1. Visual integration device based on GIS and knowledge graph, characterized by comprising:
the system comprises a GIS view module, a knowledge map view module and a state sharing module;
the GIS view module is used for adding an entity in the GIS map by marking coordinate points, and rendering the entity and the relation data input by the server in the GIS map and then presenting the entity and the relation data;
the knowledge graph view module is used for rendering the entity and the relation data input by the server in the knowledge graph view and then presenting the rendered entity and the relation data;
the state sharing module is used for synchronizing data and performing 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 when the user switches from the knowledge map view to the GIS map view, if the GIS map view is incompatible with 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 a GIS map view to a knowledge map view, if the GIS map view is incompatible with the knowledge map view, extracting entity and relationship information contained in the GIS map view, and providing the extracted entity and relationship information for a knowledge map view module to display the knowledge map view;
the GIS view module is used for adding an entity in a GIS map by marking coordinate points, and is specifically used for:
receiving coordinate information marked by a user in a GIS map;
the coordinate information is packaged and then sent to a server, and a new entity is added by the server and written into a graph database;
receiving entity information associated with the marks returned by the server;
the GIS view module is used for rendering entity and relationship data input by the server in the GIS map and then presenting the entity and relationship data, and is specifically used for:
packaging rendering related parameters and then sending the parameters to a server;
receiving entity and relation data returned by the server in the form of stream data;
according to the entity and the relation data, using an asynchronous multithreading queue to load and render in a GIS map and then presenting;
wherein the attribute of the entity at least comprises a longitude and latitude field.
2. The apparatus of claim 1, wherein,
the GIS view module is further configured to:
after the GIS map view is displayed according to the entity and relation information provided by the state sharing module, the GIS map view is expanded and displayed according to expansion attributes supported by the GIS map view;
the knowledge graph view module is further configured to:
and after the knowledge graph view is displayed according to the entity and relation information provided by the state sharing module, the knowledge graph view is expanded and displayed according to expansion attributes supported by the knowledge graph view.
3. The apparatus of claim 2, wherein the GIS view module is configured to, when performing expansion display on the GIS view according to expansion attributes supported by the GIS map view, specifically:
according to time information, height information and preset range information included in the expansion attribute supported by the GIS map view, displaying track information of a specified entity and entity distribution information in a preset range by adopting the three-dimensional GIS map view;
or displaying entity distribution information within a preset range of a specified entity by adopting the GIS map view according to preset range information included in the expansion attribute supported by the GIS map view;
or, according to time information included in the expansion attribute supported by the GIS map view, drawing a time line in the GIS map view;
or, according to the height information included in the expansion attribute supported by the GIS map view, drawing an elevation line on the GIS map view.
4. The apparatus of claim 3, wherein the device comprises a plurality of sensors,
the GIS view module is further configured to:
expanding and displaying the GIS map view according to the labels, or the attributes or the attribution information;
the knowledge graph view module is further configured to:
and expanding and displaying the map view according to the time, the geographic space or the distance information.
5. A visual integration method based on GIS and knowledge graph is characterized by comprising the following steps:
acquiring entity and relation data of a knowledge graph from a server;
rendering entity and relation data input by a server in a GIS map and rendering the entity and relation data in a knowledge map;
switching between the GIS view and the knowledge graph view according to the operation request of the user;
synchronizing an operation result of a user between the GIS view and the knowledge map view, and performing differential processing on data of the GIS view and the knowledge map view, wherein when the user switches from the knowledge map view to the GIS map view, if the GIS map view is incompatible with the knowledge map view, entity and relationship information contained in the knowledge map view are extracted, and the extracted entity and relationship information are provided for a GIS view module to display the GIS map view; when a user switches from a GIS map view to a knowledge map view, if the GIS map view is incompatible with the knowledge map view, extracting entity and relationship information contained in the GIS map view, and providing the extracted entity and relationship information for a knowledge map view module to display the knowledge map view;
adding an entity in the GIS map through marking coordinate points, wherein the method specifically comprises the following steps:
receiving coordinate information marked by a user in a GIS map;
the coordinate information is packaged and then sent to a server, and a new entity is added by the server and written into a graph database;
receiving entity information associated with the marks returned by the server;
rendering entity and relation data input by a server in a GIS map, and then presenting the entity and relation data, wherein the rendering method specifically comprises the following steps:
packaging rendering related parameters and then sending the parameters to a server;
receiving entity and relation data returned by the server in the form of stream data;
according to the entity and the relation data, using an asynchronous multithreading queue to load and render in a GIS map and then present
Wherein the attribute of the entity at least comprises a longitude and latitude field.
6. A readable storage medium having executable instructions thereon which, when executed, cause a computer to perform the functions of the apparatus of any of claims 1-4.
7. 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 1-4 by the one or more processors.
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