CN113918661A

CN113918661A - Knowledge graph generation method and device and electronic equipment

Info

Publication number: CN113918661A
Application number: CN202111156306.2A
Authority: CN
Inventors: 刘静
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2021-09-29
Filing date: 2021-09-29
Publication date: 2022-01-11

Abstract

The embodiment of the invention provides a knowledge graph generation method, a knowledge graph generation device and electronic equipment, wherein the method comprises the following steps: acquiring entity data; extracting event arguments from the entity data to obtain at least one argument data; obtaining a template container; the template container comprises at least one sub-template container; and filling the argument data into the sub-template containers respectively to generate sub-knowledge maps in the knowledge maps. According to the embodiment of the invention, after event argument extraction is carried out on entity data to obtain argument data, the entity data are orderly filled into the sub-template containers of the template container to form the knowledge graph with the sub-knowledge graphs distributed in a layered mode, so that the knowledge graph is not limited by a screen space when displayed in electronic equipment, and the use efficiency of the screen space is improved.

Description

Knowledge graph generation method and device and electronic equipment

Technical Field

The embodiment of the invention relates to the technical field of computers, in particular to a knowledge graph generation method and device and electronic equipment.

Background

Knowledge Graph (also known as Knowledge domain visualization or Knowledge domain mapping map) is a series of different graphs displaying the relationship between the Knowledge development process and the structure, and uses visualization technology to describe Knowledge resources and their carriers, and to mine, analyze, construct, draw and display Knowledge and the mutual relation between them.

However, with the development of internet and computer technology, the information volume on the network is rapidly increased, and the structural relationship and content in the knowledge graph are continuously enlarged, so that when the knowledge graph is displayed in electronic equipment with limited screen space, such as a smart phone, the browsing experience of a user is poor.

Disclosure of Invention

The embodiment of the invention provides a knowledge graph generation method, which is used for generating a knowledge graph with sub knowledge graphs distributed in a layered mode according to entity data, so that the knowledge graph can be displayed in a screen space of electronic equipment in a layered mode, and the browsing experience of a knowledge graph of a user is improved.

Correspondingly, the embodiment of the invention also provides a knowledge graph generating device and electronic equipment, which are used for ensuring the realization and application of the method.

In order to solve the above problems, the embodiment of the present invention discloses a method for generating a knowledge graph, which specifically includes:

acquiring entity data;

extracting event arguments from the entity data to obtain at least one argument data;

obtaining a template container; the template container comprises at least one sub-template container;

filling the argument data into the sub-template containers respectively to generate sub-knowledge maps in the knowledge maps; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph.

Optionally, the extracting event arguments of the entity data to obtain at least one argument data includes:

performing word segmentation processing on the entity data to obtain word segmentation;

and determining an event entity based on the word segmentation, and performing event argument extraction on the entity data based on the event entity to obtain argument data corresponding to the event entity.

Alternatively,

the argument data includes at least one of image data, time data, person data, and summary data corresponding to the event entity.

Optionally, the sub-template container includes an image data area, a time area, and a summary data area, and the filling of the argument data into the sub-template container respectively generates a sub-knowledge graph in a knowledge graph, including:

filling the image data corresponding to the event entity into an image data area of the sub-template container;

filling the time data corresponding to the event entity into a time region of the sub-template container; and

and filling the abstract data corresponding to the event entity into an abstract data area of the sub-template container.

Optionally, a portion of the argument data is fixedly displayed in the knowledge-graph; wherein the argument data of the portion comprises at least temporal data.

Optionally, the method further comprises:

generating a related cue word according to part of the argument data;

and filling the associated prompt words into the sub-knowledge graph, and fixedly displaying the associated prompt words in the knowledge graph.

The embodiment of the invention also discloses a knowledge graph generation method, which comprises the following steps:

acquiring a knowledge graph; the knowledge graph is formed by that the server performs event argument extraction based on entity data to obtain at least one argument data, and correspondingly fills the argument data into a sub-template container of a template container to generate a sub-knowledge graph; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph;

and hierarchically displaying the sub-knowledge graphs in the knowledge graph in a screen space.

Optionally, the method further comprises:

determining a target sub-knowledge graph from the sub-knowledge graphs of the knowledge graph in response to a browsing operation directed to the knowledge graph;

adjusting the target sub-knowledge graph to a highest level of the knowledge graph.

Optionally, the method further comprises:

providing an expansion control in the sub-knowledge-graph when the sub-knowledge-graph portion is presented in the screen space;

and responding to the touch operation aiming at the expansion control in the sub-knowledge graph, and expanding the sub-knowledge graph to display all the sub-knowledge graphs.

The embodiment of the invention also discloses a knowledge graph generating device, which comprises:

the entity data acquisition module is used for acquiring entity data;

the event argument extraction module is used for extracting event arguments from the entity data to obtain at least one argument data;

the template container acquisition module is used for acquiring a template container; the template container comprises at least one sub-template container;

the argument data filling module is used for respectively filling the argument data into the sub-template containers to generate sub-knowledge maps in the knowledge maps; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph.

Optionally, the event argument extraction module is configured to perform word segmentation on the entity data to obtain a word segmentation; and determining an event entity based on the word segmentation, and performing event argument extraction on the entity data based on the event entity to obtain argument data corresponding to the event entity.

Optionally, the argument data includes at least one of image data, time data, person data, and summary data corresponding to the event entity.

Optionally, the sub-template container includes an image data area, a time area and a summary data area, and the argument data filling module is configured to fill the image data corresponding to the event entity into the image data area of the sub-template container; filling the time data corresponding to the event entity into a time region of the sub-template container; and filling the summary data corresponding to the event entity into a summary data area of the sub-template container.

Optionally, the apparatus further comprises: the associated cue word display module is used for generating associated cue words according to part of the argument data; and filling the associated prompt words into the sub-knowledge graph, and fixedly displaying the associated prompt words in the knowledge graph.

the knowledge graph acquisition module is used for acquiring a knowledge graph; the knowledge graph is formed by that the server performs event argument extraction based on entity data to obtain at least one argument data, and correspondingly fills the argument data into a sub-template container of a template container to generate a sub-knowledge graph; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph;

and the knowledge graph display module is used for displaying the sub knowledge graphs in the knowledge graph in a screen space in a layering mode.

Optionally, the apparatus further comprises: a sub-knowledge graph adjustment module for determining a target sub-knowledge graph from the sub-knowledge graphs of the knowledge graph in response to a browsing operation directed to the knowledge graph; adjusting the target sub-knowledge graph to a highest level of the knowledge graph.

Optionally, the apparatus further comprises: a sub-knowledge graph expansion module for providing an expansion control in the sub-knowledge graph when the sub-knowledge graph portion is displayed in the screen space; and responding to the touch operation aiming at the expansion control in the sub-knowledge graph, and expanding the sub-knowledge graph to display all the sub-knowledge graphs.

The embodiment of the invention also discloses a readable storage medium, and when the instructions in the storage medium are executed by a processor of the electronic equipment, the electronic equipment can execute the knowledge graph generation method according to any one of the embodiments of the invention.

The embodiment of the invention also discloses an electronic device, which comprises a memory and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs are configured to be executed by one or more processors and comprise a method for performing the knowledge graph generation according to any one of the embodiments of the invention.

The embodiment of the invention has the following advantages:

in the embodiment of the invention, entity data of an entity are obtained, event argument extraction is carried out on the entity data to obtain at least one argument data, and the argument data is respectively filled into sub-template containers of the template containers to generate the knowledge graph with the sub-knowledge graphs distributed in a layered mode. According to the embodiment of the invention, after the entity data is subjected to event argument extraction to obtain argument data, the argument data is orderly filled into the sub-template containers of the template container to form the knowledge graph with the sub-knowledge graphs distributed in a layered mode, so that the knowledge graph is not limited by a screen space when the electronic equipment displays the knowledge graph, and the use efficiency of the screen space is improved.

Drawings

FIG. 1 is a flow chart of the steps of an embodiment of a method of knowledge-graph generation of the present invention;

FIG. 2 is a schematic diagram of a knowledge-graph of the present invention;

FIG. 3 is a flow chart of the steps of an alternative embodiment of a method of knowledge-graph generation of the present invention;

FIG. 4 is a flow chart of the steps of yet another alternative embodiment of a method of knowledge-graph generation of the present invention;

FIG. 5 is a block diagram of an embodiment of a knowledge-graph generating apparatus of the present invention;

FIG. 6 is a block diagram of an alternative embodiment of a knowledge-graph generating apparatus of the present invention;

FIG. 7 illustrates a block diagram of an electronic device for knowledge-graph generation in accordance with an exemplary embodiment;

FIG. 8 is a block diagram illustrating an electronic device for knowledge-graph generation in accordance with another exemplary embodiment of the present invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.

Referring to fig. 1, a flowchart illustrating steps of an embodiment of a method for generating a knowledge graph according to the present invention is shown, which may specifically include the following steps:

and 102, acquiring entity data.

The Entity data refers to data related to an Entity (Entity). An entity refers to a transaction that exists objectively and can be distinguished from each other, and is a specific thing or concept. Specifically, the entities may include at least a human entity, an event entity, and the like, and the corresponding entity data is data associated with the human entity or the event entity. Illustratively, the entity may be an actor and the corresponding entity data is the actor's experience of the actor, or the entity may be a news event and the corresponding entity data is a description of a related news event of the news event. The human entity generally includes one or more corresponding event entities, and thus the entity data of the human entity can be composed of the entity data corresponding to the event entity associated with the human entity.

In the embodiment of the present invention, the entity data of the entity may be obtained from the specified database, or the content in the website may be used as the entity data of the entity when the user enters the encyclopedia website of the entity, for example, the performance experience of the actor, the development history of a major event, the version update process of a book, and the like in the encyclopedia website, or an article with a certain popularity on another website, for example, an article with a browsing volume exceeding 10 ten thousand on a social networking website, or after the user specifies the entity, the data associated with the entity may be searched by using a search engine as the entity data, for example, the user searches for the performance experience associated with the actor jack-blanc as the entity data in the process of searching about the actor jack-blanc, which is not limited in the embodiment of the present invention.

As one example, the entity data may include at least image data, location, people data, time data, summary data, and the like of the event. Exemplarily, assuming that the entity is an actor, the entity data may be an actor's performance experience, etc., [ actor jack-blake stared the movie & travel to the united states in 2010 (movie poster attached to movie & travel to the council) ]; assuming that the entity is a news event, the entity data may be news content of the news event, for example [ a mid-autumn guild evening meeting (a poster for publicity of the mid-autumn guild evening meeting) was held in beijing in 9 months 2021 ].

And 104, extracting event arguments of the entity data to obtain at least one argument data.

The event argument extraction refers to extracting each component element (time data, location, person data (person), summary data of event adaptation, and the like) of an event from an event description, and the element is argument data.

In the embodiment of the invention, after the event argument extraction is carried out on the entity data, one or more argument data can be obtained. Illustratively, assume that entity data is obtained [ actor jack blake, 1992, the personal head movie "natural winner"; in 1996, the lead actor "the king brand special Party" of a comedy movie; in 2000, the event argument of the event data is extracted from … … in "loss of love ranking board" of leading performance comedy love movie ", and the obtained argument data may include 1992 in" Tiansheng winner "of leading performance personal movie", 1996 in "leading performance comedy movie" king brand special distributor ", and" 2000 in "… … in" loss of love ranking board "of leading performance comedy love movie".

Step 106, obtaining a template container; the template container comprises at least one sub-template container.

Step 108, filling the argument data into the sub-template containers respectively to generate sub-knowledge maps in the knowledge maps; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph.

The template container is a preset data container, the template container comprises one or more than one sub-template container, the sub-template container comprises a blank area, and the blank area of the sub-template container is filled with argument data, so that a sub-knowledge graph in the knowledge graph can be generated, and further the knowledge graph of the entity is obtained.

Illustratively, referring to fig. 2, a performance experience 202 of actor jack blake on an encyclopedia website is obtained as entity data, after event argument extraction is performed on the entity data, argument data of actor jack blake is obtained, and the argument data is filled into a sub-template container according to a time sequence (timeline/time line), so that a knowledge graph for sorting events by the actor jack blake according to the time sequence, namely a knowledge graph 204 formed by sub-knowledge graphs sorted according to the

time sequence

1992, 1996 and 2000 … …, is obtained.

Wherein, the hierarchical distribution means that the sub-knowledge graphs in the knowledge graph are not in the same level at the same time. Illustratively, assuming that there are A, B, C, D four sub-knowledge maps included in the knowledge map, A, B, C, D four sub-knowledge maps may be stacked in sequence, and sub-knowledge map a is placed at the highest level, so that when the knowledge map is displayed, the sub-knowledge map a currently placed at the highest level will be displayed. It can be understood that the knowledge graph of the sub-knowledge graph is distributed in a layered mode, the knowledge graph can be displayed in a limited screen space, for example, a smart phone with a smaller screen space, and more contents can be displayed in the limited screen space as far as possible based on the knowledge graph of the sub-knowledge graph distributed in the layered mode. It should be noted that, in addition to the above-mentioned manner of sequentially stacking the sub-knowledge graphs, other hierarchical manners may also be used for displaying, for example, two sub-knowledge graphs are displayed in one layer, which is not required to be limited by the embodiment of the present invention.

In the knowledge graph generation method, entity data of an entity are obtained, event argument extraction is carried out on the entity data to obtain at least one argument data, the argument data are respectively filled into sub-template containers of a template container to generate sub-knowledge graphs in the knowledge graph of the entity, and the sub-knowledge graphs in the knowledge graph are displayed in an electronic device in a hierarchical mode. According to the embodiment of the invention, after event argument extraction is carried out on entity data to obtain argument data, the entity data are orderly filled into the sub-template containers of the template container to form the knowledge graph with the sub-knowledge graphs distributed in a layered mode, so that the knowledge graph is not limited by a screen space when displayed in electronic equipment, and the use efficiency of the screen space is improved.

Referring to fig. 3, a flowchart illustrating steps of an alternative embodiment of the method for generating a knowledge graph of the present invention is shown, which may specifically include the following steps:

step 302, obtaining entity data.

Step 304, performing word segmentation processing on the entity data to obtain word segmentation;

step 306, determining an event entity based on the word segmentation, and performing event argument extraction on the entity data based on the event entity to obtain argument data corresponding to the event entity.

In the embodiment of the invention, encyclopedic content corresponding to a character entity or an event entity is extracted from an encyclopedic website as entity data, or articles with certain heat corresponding to the character entity or the event entity are extracted from other websites as entity data, the entity data is subjected to word segmentation processing to obtain a plurality of words, then the event entity can be determined based on the words, and then event argument extraction is performed on the entity data based on the event entity to obtain image data, time data, character data, abstract data and the like corresponding to the event entity as argument data corresponding to the event entity.

For example, suppose that an encyclopedic website is searched for a human entity [ zhang san ], encyclopedic content corresponding to the human entity can be obtained, the encyclopedic content can be used as entity data of the human entity [ zhang san ], if word segmentation processing is performed on the entity data of the human entity [ zhang san ], a plurality of words are obtained, such as 200 years, technology companies, managers, 2005, general managers and the like, further an event entity [ 2000 serves as the technology company manager ] and [ 2005 serves as the general manager of the technology company ] can be determined based on the words, then event meta extraction is performed on the entity data based on the event entity, and further corresponding image data, summary data and the like of the event entity [ 2000 serves as the technology company manager ] and [ 2005 serves as the general manager of the technology company ] are obtained as the meta data.

The event data are divided into words, the event entity is determined based on the words, event argument extraction can be performed on the entity data based on the event entity, argument data corresponding to the event entity are obtained, the entity data can be conveniently and subsequently filled into the sub-template containers respectively according to the event entity to obtain sub-knowledge maps in the knowledge maps, one event entity is displayed through one sub-knowledge map, and a user can conveniently and specifically obtain information.

Step 308, obtaining a template container; the template container comprises at least one sub-template container.

Step 310, filling the argument data into the sub-template containers respectively to generate sub-knowledge maps in the knowledge maps of the entities; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph.

In an exemplary embodiment, the sub-template container includes an image data area, a time area and a summary data area, and the step 310 of filling the argument data into the sub-template container respectively to generate a sub-knowledge graph in the knowledge graph of the entity may include the steps of:

filling the image data corresponding to the event entity into an image data area of the sub-template container; filling the time data corresponding to the event entity into a time region of the sub-template container; and filling the summary data corresponding to the event entity into a summary data area of the sub-template container.

In the embodiment of the present invention, the sub-template container of the template container may include one or more blank areas, wherein the blank areas may include at least an image data area, a time area, a summary data area, and the like. Corresponding content can be filled in the blank area, for example, the image data area is filled with a person photo, the time area is filled with an event occurrence, and the summary data area is filled with summary data, so that a sub-knowledge graph corresponding to an event entity is generated.

In an exemplary embodiment, a portion of the argument data is fixedly presented in the knowledge-graph; wherein the argument data of the portion comprises at least temporal data.

In a specific implementation, in order to better let a user know the character vividness or event context corresponding to a certain entity, argument data related to the comparison between the entity and the event can be selected to be fixedly shown in a knowledge graph.

As a specific example, part of the argument data may be time data, which is fixedly displayed in the knowledge graph through the time data, so that the user can quickly know the vividness of the person or the context of the event of the entity, and the user can select the corresponding sub-knowledge graph as the target sub-knowledge graph to display by performing a click operation or a sliding operation on the time data. As an example, referring to FIG. 2, the knowledge-

graphs

204 and 206,

event occurrences

1992, 1996, 2000 … … in the graph are fixedly represented in the knowledge-graph even though the currently represented sub-knowledge-graphs have changed.

In an exemplary embodiment, the method may further include the steps of:

generating a related cue word according to part of the argument data;

In the embodiment of the present invention, it is considered that although the part of argument data of different entities fixedly shown in the knowledge graph can make the user better understand the character vividness or the context of an event, the user only knows a time corresponding to the event entity through one argument data, such as time data, so that the embodiment of the present invention may also generate the associated cue words according to the part of argument data, fill the associated cue words into the sub-knowledge graph, and fixedly show the associated cue words and the part of argument data in the knowledge graph together.

For example, referring to fig. 2, assuming that a human entity [ jack blake ] participates in a movie "natural winner" in 1992, part of meta-data is 1992, based on the relevant personal content combining jack blake in 1992, for example, the year of birth, month and day is 1969, month and 28, and it can be determined that jack blake is 23 years old in 1992, then [ 23 years ] can be fixedly presented in the knowledge graph together with the corresponding associated hints information as part of the meta-data [ 1992 ].

In the above exemplary embodiment, part of the argument data and the associated prompt information are fixedly displayed in the knowledge graph, and the focus attractiveness of browsing is presented to the user in the knowledge graph, so that the user can conveniently and quickly obtain effective information.

Referring to fig. 4, a flowchart illustrating steps of another alternative embodiment of the method for generating a knowledge graph of the present invention is shown, which may specifically include the following steps:

step 402, acquiring a knowledge graph; the knowledge graph is formed by that the server performs event argument extraction based on entity data to obtain at least one argument data, and correspondingly fills the argument data into a sub-template container of a template container to generate a sub-knowledge graph; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph;

and step 404, displaying sub-knowledge graphs in the knowledge graph in a layered mode in a screen space.

In the embodiment of the present invention, when a user conveniently browses certain entity data on an electronic device, a knowledge graph corresponding to the entity data may be obtained, for example, when the user browses the performance experience of zhang san from an actor on an encyclopedia website, the user may select to display the performance experience of zhang san from the actor in a knowledge graph manner in addition to the performance experience of zhang san from the actor through a conventional listing, and then the knowledge graph corresponding to the performance experience of zhang san from the actor is displayed in a screen space of the electronic device.

In the knowledge graph generation method, the knowledge graph of the sub knowledge graphs which are distributed hierarchically is displayed in the screen space of the electronic equipment, wherein the knowledge graph is composed of a plurality of sub knowledge graphs which are distributed hierarchically, so that more contents can be expressed in the same screen space when the knowledge graph is displayed on the electronic equipment, and the use efficiency of the screen space is improved.

In an exemplary embodiment, the method may further include the steps of:

In the embodiment of the invention, the knowledge graph may include a plurality of sub-knowledge graphs distributed hierarchically, in order to enable a user to browse a required sub-knowledge graph conveniently, browsing operation of the user on the knowledge graph, such as sliding operation or clicking operation, may be detected in the electronic device, and in response to the browsing operation, the sub-knowledge graph selected by the user may be used as a target sub-knowledge graph, and the target sub-knowledge graph is adjusted to the highest level of the knowledge graph, so that the user may browse the target sub-knowledge graph.

As an example, referring to FIG. 2, assuming that a sub-knowledge graph of 1992 is currently being exposed, if a user performs a click operation on 1996 in knowledge graph 204, then the user switches to exposing sub-knowledge graph 206 of 1996.

Optionally, in the embodiment of the present invention, the sub-knowledge maps in the displayed knowledge map may be switched automatically according to the time sequence, so as to reduce user operations.

In an exemplary embodiment, the method may further include the steps of:

In a specific implementation, when the knowledge graph is displayed in the screen space of the electronic device, in order to achieve a better visual effect, the sub-knowledge graphs in the knowledge graph are generally the same size and are adapted to the screen space of the electronic device. Then, there may be some argument data contents that are more than enough, for example, if a movie in which actors participate is popular, then there are more summary data in the argument data, and then the size of the corresponding sub-knowledge graph is also larger, at this time, for these sub-knowledge graphs, only partial display may be performed in the screen space of the electronic device, for example, as shown in 204 in fig. 2, only partial display of the sub-knowledge graph is performed, and at the same time, an expansion control [ view full text ] may be provided in the sub-knowledge graph.

If the user wants to be able to view the partially displayed sub-knowledge graph completely, a touch operation may be performed on the expansion control, for example, a click operation or a press operation is performed on the expansion control [ see full text ] in fig. 2, and then the sub-knowledge graph is expanded in the screen space of the electronic device, specifically, as shown at 208 in fig. 2.

By applying the embodiment of the invention, the template container is created, after the entity data of the entity is subjected to event argument extraction to obtain argument data, the argument data comprising image data, time data, abstract data and the like are respectively filled into the sub-template containers of the template container according to the sequence of the time data to obtain the sub-knowledge maps in the knowledge maps, and the knowledge maps of the related person entities or the event entities are formed. Because the knowledge graph is obtained by filling according to the time data, each time data browsed by the user in the knowledge graph can correspond to the content event of the time data, the focusing attractiveness of browsing is presented to the user, the utilization rate of the screen control is improved, and the user can conveniently and quickly obtain effective information.

It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.

Referring to fig. 5, a block diagram of an embodiment of the knowledge-graph generating apparatus of the present invention is shown, and specifically, the apparatus may include the following modules:

an entity data obtaining module 502, configured to obtain entity data;

an event argument extraction module 504, configured to perform event argument extraction on the entity data to obtain at least one argument data;

a template container acquisition module 506 for acquiring a template container; the template container comprises at least one sub-template container;

an argument data filling module 508, configured to fill the argument data into the sub-template containers, respectively, to generate sub-knowledge maps in the knowledge map; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph.

In an exemplary embodiment, the event argument extraction module 504 is configured to perform word segmentation on the entity data to obtain a word segmentation; and determining an event entity based on the word segmentation, and performing event argument extraction on the entity data based on the event entity to obtain argument data corresponding to the event entity.

In an exemplary embodiment, the argument data includes at least one of image data, time data, person data, and summary data corresponding to the event entity.

In an exemplary embodiment, the sub-template container includes an image data area, a time area and a summary data area, and the argument data filling module 508 is configured to fill the image data corresponding to the event entity into the image data area of the sub-template container; filling the time data corresponding to the event entity into a time region of the sub-template container; and filling the summary data corresponding to the event entity into a summary data area of the sub-template container.

In an exemplary embodiment, the apparatus further comprises: the associated cue word display module is used for generating associated cue words according to part of the argument data; and filling the associated prompt words into the sub-knowledge graph, and fixedly displaying the associated prompt words in the knowledge graph.

In summary, in the embodiment of the present invention, entity data of an entity is obtained, event argument extraction is performed on the entity data to obtain at least one argument data, the argument data is respectively filled into sub-template containers of the template container, a sub-knowledge graph in the knowledge graph of the entity is generated, and the sub-knowledge graph in the knowledge graph is displayed in the electronic device in a hierarchical manner. According to the embodiment of the invention, after event argument extraction is carried out on entity data to obtain argument data, the entity data are orderly filled into the sub-template containers of the template container to form the knowledge graph with the sub-knowledge graphs distributed in a layered mode, so that the knowledge graph is not limited by a screen space when displayed in electronic equipment, and the use efficiency of the screen space is improved.

Referring to fig. 6, a block diagram of a knowledge graph generating apparatus according to an embodiment of the present invention is shown, which may specifically include the following modules:

a knowledge graph obtaining module 602, configured to obtain a knowledge graph; the knowledge graph is formed by that the server performs event argument extraction based on entity data to obtain at least one argument data, and correspondingly fills the argument data into a sub-template container of a template container to generate a sub-knowledge graph; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph;

and the knowledge graph display module 604 is used for displaying the sub knowledge graphs in the knowledge graph in a screen space in a layering manner.

In an exemplary embodiment, the apparatus further comprises: a sub-knowledge graph adjustment module for determining a target sub-knowledge graph from the sub-knowledge graphs of the knowledge graph in response to a browsing operation directed to the knowledge graph; adjusting the target sub-knowledge graph to a highest level of the knowledge graph.

In an exemplary embodiment, the apparatus further comprises: a sub-knowledge graph expansion module for providing an expansion control in the sub-knowledge graph when the sub-knowledge graph portion is displayed in the screen space; and responding to the touch operation aiming at the expansion control in the sub-knowledge graph, and expanding the sub-knowledge graph to display all the sub-knowledge graphs.

In summary, in the embodiment of the present invention, the knowledge graph of the hierarchically distributed sub-knowledge graphs is displayed in the screen space of the electronic device, wherein the knowledge graph is composed of a plurality of hierarchically distributed sub-knowledge graphs, so that more contents can be expressed in the same screen space when displayed on the electronic device, and the use efficiency of the screen space is improved.

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

FIG. 7 is a block diagram illustrating a structure of an electronic device 500 for knowledge-graph generation, according to an example embodiment. For example, the electronic device 700 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a gaming console, a tablet device, a medical device, a fitness device, a personal digital assistant, a smart wearable device, and the like.

Referring to fig. 7, electronic device 700 may include one or more of the following components: a processing component 702, a memory 704, a power component 706, a multimedia component 708, an audio component 710, an input/output (I/O) interface 712, a sensor component 714, and a communication component 716.

The processing component 702 generally controls overall operation of the electronic device 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 702 may include one or more processors 720 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 702 may include one or more modules that facilitate interaction between the processing component 702 and other components. For example, the processing component 702 can include a multimedia module to facilitate interaction between the multimedia component 708 and the processing component 702.

The memory 704 is configured to store various types of data to support operation at the device 700. Examples of such data include instructions for any application or method operating on the electronic device 700, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 704 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power component 706 provides power to the various components of the electronic device 700. The power components 706 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the electronic device 700.

The multimedia component 708 includes a screen that provides an output interface between the electronic device 700 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 708 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 700 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 710 is configured to output and/or input audio signals. For example, the audio component 710 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 704 or transmitted via the communication component 716. In some embodiments, audio component 710 also includes a speaker for outputting audio signals.

The I/O interface 712 provides an interface between the processing component 702 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 714 includes one or more sensors for providing various aspects of status assessment for the electronic device 700. For example, the sensor assembly 714 may detect an open/closed state of the device 700, the relative positioning of components, such as a display and keypad of the electronic device 700, the sensor assembly 714 may also detect a change in the position of the electronic device 700 or a component of the electronic device 700, the presence or absence of user contact with the electronic device 700, orientation or acceleration/deceleration of the electronic device 700, and a change in the temperature of the electronic device 700. The sensor assembly 714 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 716 is configured to facilitate wired or wireless communication between the electronic device 700 and other devices. The electronic device 700 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 714 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 714 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 704 comprising instructions, executable by the processor 720 of the electronic device 700 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

A non-transitory computer readable storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform a method of knowledge-graph generation, the method comprising: acquiring entity data; extracting event arguments from the entity data to obtain at least one argument data; obtaining a template container; the template container comprises at least one sub-template container; filling the argument data into the sub-template containers respectively to generate sub-knowledge maps in the knowledge maps; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph.

Optionally, the extracting event arguments of the entity data to obtain at least one argument data includes: performing word segmentation processing on the entity data to obtain word segmentation; and determining an event entity based on the word segmentation, and performing event argument extraction on the entity data based on the event entity to obtain argument data corresponding to the event entity.

Optionally, the sub-template container includes an image data area, a time area, and a summary data area, and the filling of the argument data into the sub-template container respectively generates a sub-knowledge graph in a knowledge graph, including: filling the image data corresponding to the event entity into an image data area of the sub-template container; filling the time data corresponding to the event entity into a time region of the sub-template container; and filling the summary data corresponding to the event entity into a summary data area of the sub-template container.

Optionally, the method further comprises: generating a related cue word according to part of the argument data; and filling the associated prompt words into the sub-knowledge graph, and fixedly displaying the associated prompt words in the knowledge graph.

A non-transitory computer readable storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform a method of knowledge-graph generation, the method comprising: acquiring a knowledge graph; the knowledge graph is formed by that the server performs event argument extraction based on entity data to obtain at least one argument data, and correspondingly fills the argument data into a sub-template container of a template container to generate a sub-knowledge graph; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph; and hierarchically displaying the sub-knowledge graphs in the knowledge graph in a screen space.

Optionally, the method further comprises: determining a target sub-knowledge graph from the sub-knowledge graphs of the knowledge graph in response to a browsing operation directed to the knowledge graph; adjusting the target sub-knowledge graph to a highest level of the knowledge graph.

Optionally, the method further comprises: providing an expansion control in the sub-knowledge-graph when the sub-knowledge-graph portion is presented in the screen space; and responding to the touch operation aiming at the expansion control in the sub-knowledge graph, and expanding the sub-knowledge graph to display all the sub-knowledge graphs.

Fig. 8 is a schematic structural diagram of an electronic device 800 for knowledge-graph generation according to another exemplary embodiment of the present invention. The electronic device 800 may be a server, which may vary widely due to configuration or performance, and may include one or more Central Processing Units (CPUs) 822 (e.g., one or more processors) and memory 832, one or more storage media 830 (e.g., one or more mass storage devices) storing applications 842 or data 844. Memory 832 and storage medium 830 may be, among other things, transient or persistent storage. The program stored in the storage medium 830 may include one or more modules (not shown), each of which may include a series of instruction operations for the server. Still further, the central processor 822 may be configured to communicate with the storage medium 830 to execute a series of instruction operations in the storage medium 830 on the server.

The server may also include one or more power supplies 826, one or more wired or wireless network interfaces 850, one or more input-output interfaces 858, one or more keyboards 856, and/or one or more operating systems 841, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

An electronic device comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors the one or more programs including instructions for: acquiring entity data; extracting event arguments from the entity data to obtain at least one argument data; obtaining a template container; the template container comprises at least one sub-template container; filling the argument data into the sub-template containers respectively to generate sub-knowledge maps in the knowledge maps; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph.

An electronic device comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors the one or more programs including instructions for: acquiring a knowledge graph; the knowledge graph is formed by that the server performs event argument extraction based on entity data to obtain at least one argument data, and correspondingly fills the argument data into a sub-template container of a template container to generate a sub-knowledge graph; wherein the sub-knowledge-graphs are hierarchically distributed in the knowledge-graph; and hierarchically displaying the sub-knowledge graphs in the knowledge graph in a screen space.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.

The knowledge graph generating method, the knowledge graph generating device and the electronic equipment provided by the invention are described in detail, specific examples are applied in the text to explain the principle and the implementation mode of the invention, and the description of the above embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A method for generating a knowledge graph, comprising:

acquiring entity data;

2. The method of claim 1, wherein said extracting event arguments from said entity data to obtain at least one argument data comprises:

3. The method of claim 2,

4. The method of claim 2 or 3, wherein the sub-template container comprises an image data area, a time area and a summary data area, and the populating the argument data into the sub-template container respectively generates a sub-knowledge graph in a knowledge graph, comprising:

5. The method of claim 4,

part of the argument data is fixedly shown in the knowledge-graph; wherein the argument data of the portion comprises at least temporal data.

6. The method of claim 4, further comprising:

generating a related cue word according to part of the argument data;

7. A method for generating a knowledge graph, comprising:

8. The method of claim 7, further comprising:

9. The method according to claim 7 or 8, characterized in that the method further comprises:

10. A knowledge-graph generating apparatus, comprising:

the entity data acquisition module is used for acquiring entity data;

11. A knowledge-graph generating apparatus, comprising:

12. An electronic device comprising 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 comprises means for performing the method of knowledge graph generation of any of method claims 1-9.

13. A readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method of knowledge-graph generation of any of method claims 1-9.