CN116304340A

CN116304340A - Method and apparatus for information processing

Info

Publication number: CN116304340A
Application number: CN202310283208.8A
Authority: CN
Inventors: 潘征; 冯璐
Original assignee: NEC Corp
Current assignee: NEC Corp
Priority date: 2023-03-21
Filing date: 2023-03-21
Publication date: 2023-06-23

Abstract

According to embodiments of the present disclosure, methods and apparatus for information processing are provided. The method includes generating a first event map corresponding to media content, including at least a first node representing a first event, a second node representing a second event, and a first directed edge representing a first event relationship between the first event and the second event, the first event, the second event, and the first event relationship being determined from the media content. The method further includes determining a third event from the reference event map having a second event element that matches the first event element based on a first event element that at least one of the first event or the second event has. The method further includes combining the first event profile with a second event profile, the second event profile including at least a third node representing a third event. In this way, the efficiency of processing media information can be improved, helping users to efficiently acquire information of interest.

Description

Method and apparatus for information processing

Technical Field

Example embodiments of the present disclosure relate generally to the field of computers, and in particular, relate to methods and apparatus for information processing.

Background

With the development of network technology and multimedia technology, the amount of news grows exponentially every day, and there is a lot of repeated news. Generally, news events do not occur in isolation. The user may want to know the existence of the event or further know the trend of the event through the history event, so as to predict the possible influence of the current event. The process of searching and filtering event-related information is very cumbersome for the user. Accordingly, a solution that automatically combs, refines, and insights various news is desired.

Disclosure of Invention

In a first aspect of the present disclosure, a method of information processing is provided. The method comprises the following steps: generating a first event map corresponding to the media content, the first event map including at least a first node representing a first event, a second node representing a second event, and a first directed edge representing a first event relationship between the first event and the second event, the first event, the second event, and the first event relationship being determined from the media content; determining a third event having a second event element matching the first event element from the reference event map based on the first event element possessed by at least one of the first event or the second event; and combining the first rational atlas with a second rational atlas, the second rational atlas comprising at least a third node representing a third event.

In a second aspect of the present disclosure, an electronic device is provided. The electronic device includes at least one processing circuit. The at least one processing circuit is configured to: generating a first event map corresponding to the media content, the first event map including at least a first node representing a first event, a second node representing a second event, and a first directed edge representing a first event relationship between the first event and the second event, the first event, the second event, and the first event relationship being determined from the media content; determining a third event having a second event element matching the first event element from the reference event map based on the first event element possessed by at least one of the first event or the second event; and combining the first rational atlas with a second rational atlas, the second rational atlas comprising at least a third node representing a third event.

In some embodiments of the second aspect, the at least one processing circuit is configured to: determining a fourth event having a second event relationship with the first event from the reference event map; adding a fourth node representing a fourth event in the first event map; and adding a second directed edge between the first node and the fourth node representing a second event relationship.

In some embodiments of the second aspect, the at least one processing circuit is further configured to: a degree of association with respect to the first event relationship is stored in association with the first directed edge.

In some embodiments of the second aspect, wherein the second rational map is determined by: determining a number of levels to expand for the first event element; and determining, in the reference rational atlas, from the node representing the third event, a subgraph having a number of levels as the second rational atlas.

In some embodiments of the second aspect, wherein the number is specified by user input.

In some embodiments of the second aspect, the at least one processing circuit is further configured to: determining a first similarity of the first event to a fifth event represented by a fifth node in the reference rational map and a second similarity of the second event to a sixth event represented by a sixth node in the reference rational map; the reference rational map is updated based on the first similarity, the second similarity, the first threshold, and a second threshold that is less than the first threshold.

In some embodiments of the second aspect, the at least one processing circuit is further configured to: in response to the first similarity exceeding a first threshold and the second similarity exceeding the first threshold, a directed edge is added between the fifth node and the sixth node representing a first event relationship.

In some embodiments of the second aspect, the at least one processing circuit is further configured to: in response to the first similarity exceeding a first threshold and the second similarity being less than a second threshold, adding a seventh node representing a second event in the reference rational map; and adding a directed edge between the fifth node and the seventh node representing the first event relationship.

In some embodiments of the second aspect, the at least one processing circuit is further configured to: adding a first rational map to the reference rational map in response to the first similarity and the second similarity both lying between the first threshold and the second threshold; and adding an indication that the first event is similar to the fifth event and an indication that the second event is similar to the sixth event in the reference rational map.

In some embodiments of the second aspect, the at least one processing circuit is further configured to: in response to the media content being presented or selected, the combined first and second event maps are presented.

In a third aspect of the present disclosure, an electronic device is provided. The apparatus comprises at least one processing unit; and at least one memory coupled to the at least one processing unit and storing instructions for execution by the at least one processing unit. The instructions, when executed by at least one processing unit, cause the apparatus to perform the method of the first aspect.

In a fourth aspect of the present disclosure, a computer-readable storage medium is provided. The computer readable storage medium has stored thereon a computer program executable by a processor to implement the method of the first aspect.

It should be understood that what is described in this summary is not intended to limit the critical or essential features of the embodiments of the disclosure nor to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The above and other features, advantages and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:

FIG. 1 illustrates a schematic diagram of an example environment in which embodiments of the present disclosure may be implemented;

FIG. 2 illustrates a flow chart of a process of information processing according to some embodiments of the present disclosure;

FIG. 3 illustrates a flowchart of a process of constructing an individual profile, according to some embodiments of the present disclosure;

fig. 4A-4F illustrate schematic diagrams of example individual rational maps constructed in accordance with some embodiments of the present disclosure;

FIG. 5 illustrates a schematic diagram of associating event elements to an individual event map, according to some embodiments of the present disclosure;

6A-6C illustrate examples of updated reference event maps according to some embodiments of the present disclosure;

7A-7C illustrate examples of extended individual profile according to some embodiments of the present disclosure;

8A-8C illustrate examples of visual presentation of media content according to some embodiments of the present disclosure;

FIG. 9 illustrates a flow chart of a process of information processing according to some embodiments of the present disclosure; and

fig. 10 illustrates a block diagram of an electronic device capable of implementing various embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been illustrated in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather, these embodiments are provided so that this disclosure will be more thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be noted that any section/subsection headings provided herein are not limiting. Various embodiments are described throughout this document, and any type of embodiment may be included under any section/subsection. Furthermore, the embodiments described in any section/subsection may be combined in any manner with any other embodiment described in the same section/subsection and/or in a different section/subsection.

In describing embodiments of the present disclosure, the term "comprising" and its like should be taken to be open-ended, i.e., including, but not limited to. The term "based on" should be understood as "based at least in part on". The term "one embodiment" or "the embodiment" should be understood as "at least one embodiment". The term "some embodiments" should be understood as "at least some embodiments". Other explicit and implicit definitions are also possible below.

The term "circuitry" as used herein may refer to hardware circuitry and/or a combination of hardware circuitry and software. For example, the circuitry may be a combination of analog and/or digital hardware circuitry and software/firmware. As another example, the circuitry may be any portion of a hardware processor with software, including digital signal processor(s), software, and memory(s) that work together to enable the device to operate to perform various functions. In yet another example, the circuitry may be hardware circuitry and/or a processor, such as a microprocessor or a portion of a microprocessor, that requires software/firmware for operation, but software may not be present when not required for operation. As used herein, the term "circuitry" also encompasses a hardware circuit or processor alone or as part of a hardware circuit or processor and its (or their) implementation in conjunction with software and/or firmware.

As used herein, the term "event" refers to a change in a matter or state made up of one or more actions that one or more event bodies participate in, in a particular time and space.

As mentioned briefly above, the user needs to invest a lot of time in reading news and acquiring information, and the process of searching and screening news is cumbersome. On the other hand, with the development of network technology and multimedia technology, news can be presented in various types of media content, such as text, images, video, audio, or a combination thereof. This further increases the amount of news. To avoid massive amounts of news from taking up a great deal of the user's reading time, it is desirable to be able to comb and refine the news.

The traditional method is to search, classify and sort specific news stories manually, so as to provide relevant information for users. The manpower costs required for this approach are very high. Another way is to collect, sort, and order news by distribution time by using information processing technologies such as searching and clustering. This way it is difficult for the user to know the progress of the event. The method can only display the current event in isolation, cannot automatically associate the matched events (such as the same event main body or the same industry, etc.), and is difficult to show the association relationship and evolution process between the events. In addition, this approach fails to predict the impact that an event may have, nor does it provide a reference to a user through the development of similar historical events.

To this end, embodiments of the present disclosure propose a scheme for information processing. The method includes generating a first event map corresponding to media content, the first event map including at least a first node representing a first event, a second node representing a second event, and a first directed edge representing a first event relationship between the first event and the second event, the first event, the second event, and the first event relationship being determined from the media content. The method further includes determining a third event having a second event element that matches the first event element from the reference event map based on the first event element possessed by at least one of the first event or the second event. The arrangement further includes combining the first event profile with a second event profile, the second event profile including at least a third node representing a third event.

In embodiments of the present disclosure, individual rational atlases of the media content that were otherwise isolated are expanded. Events having the same or similar elements are related using the expanded rational atlas. Therefore, complex events can be organized in a map mode. In this way, the efficiency of processing media information can be improved, helping users to efficiently acquire information of interest. By expanding the associated events, it is also beneficial for the user to gain insight into the media content and to understand the surrounding dynamics of the events described by the media content.

Example Environment and general procedure

FIG. 1 illustrates a schematic diagram of an example environment 100 in which embodiments of the present disclosure may be implemented. In environment 100, electronic device 120 obtains media content 110 and processes it to generate a resultant map 130.

In environment 100, electronic device 120 may be any type of device having computing capabilities, including a terminal device or a server device. The terminal device may be any type of mobile terminal, fixed terminal, or portable terminal, including a mobile handset, desktop computer, laptop computer, notebook computer, netbook computer, tablet computer, media computer, multimedia tablet, personal Communication System (PCS) device, personal navigation device, personal Digital Assistant (PDA), audio/video player, digital camera/camcorder, positioning device, television receiver, radio broadcast receiver, electronic book device, game device, or any combination of the preceding, including accessories and peripherals for these devices, or any combination thereof. The server devices may include, for example, computing systems/servers, such as mainframes, edge computing nodes, computing devices in a cloud environment, and so forth.

The media content 110 may be any suitable form of content capable of providing information. For example, the media content 110 may be news stories in the form of text, images, audio, video, or a combination thereof. The media content 110 may be media content acquired from various platforms (e.g., news platforms) or stored media content. For media content 110 in text form, electronic device 120 may extract information for constructing a resultant map 130 directly from the text. For media content 110 in the form of images, video, audio, etc., electronic device 120 may extract information from the images, audio, or video for constructing a rational map 130 using any known or future developed technique. For example, the electronic device 120 may extract relevant information directly from an image, video, or audio format based on image recognition or voice recognition techniques.

The event map is used to represent event relationships between events and different events. For example, a rational map may employ a logical directed graph to represent events and event relationships. Such a logical directed graph has events as nodes and event relationships as directed edges.

Event relationships are also referred to herein as associative relationships or simply relationships. Such event relationships may include, but are not limited to, causal relationships, conditional relationships, inverse relationships, cis-bearing relationships, context relationships, composition relationships, concurrency relationships, similarity relationships, and so forth. As an example, a causal relationship refers to the occurrence of a previous event (cause) resulting in the occurrence of a subsequent event (result). The condition relation means that the former event is a condition that the latter event occurs. A reverse relationship refers to one event forming a opposition to another event, e.g., while one event occurs late, another event progresses rapidly. A compliant relationship refers to the occurrence of a previous event and a subsequent event in time. The upper and lower relationship refers to an upper event or a lower event that one event is another event, and includes an upper part of speech and a lower part of speech. For example, the event "food price rise" and the event "vegetable price rise" constitute a part-of-speech upper-lower relationship; the events of killing and stabbing are in an upper-lower relationship with each other in terms of part of speech. A composition relationship refers to one event being a component of another event. Concurrency refers to the concurrency of one event with another. The similarity relationship means that one event is similar to another event to some extent, for example, the similarity relationship may be established by similarity calculation. The above event relationships are merely exemplary and are not intended to limit the scope of the present disclosure.

An event may have one or more event elements. Event elements are also referred to herein simply as elements. Elements of an event may include, but are not limited to, event subjects, event objects, times, places, people, industries, companies, products, and the like. In some embodiments, event elements may be stored as attributes of an event in association with nodes representing the event.

It should be understood that the structure and function of environment 100 are described for illustrative purposes only and are not meant to suggest any limitation as to the scope of the disclosure. Although only one electronic device 120 is shown in fig. 1, in some embodiments, the various operations described herein may be implemented by multiple electronic devices. For example, the media content 110 is collected by a server device and a resultant map 130 is generated, the resultant map 130 being presented by a terminal device. For another example, the event map 130 is constructed, updated, or expanded by a background device and then presented by a foreground device.

An example process 200 of information processing implemented to generate the incident map 130 is described with reference to fig. 2. Process 200 may be implemented in environment 100. To construct the event map 130, the electronic device 120 first generates an event map, also referred to as an individual event map, corresponding to the media content 110. To this end, at block 210, the electronic device 120 constructs an individual rational map of the media content. The individual event maps are used to represent events and relationships between events extracted from a single media content 110. To this end, the individual event map includes a plurality of nodes that respectively represent a plurality of events extracted from the media content 110. The individual event map also includes at least one directed edge that represents event relationships between different events.

Further, at block 230, the electronic device 120 expands the individual rational atlas corresponding to the media content 110, thereby obtaining the rational atlas 130. In this context, expanding an individual rational atlas refers to combining additional one or more rational atlas (also referred to as additional rational atlas) with the individual rational atlas. The additional event map may include one or more nodes, each node representing an event. Thus, the expanded individual rational atlas may also be referred to herein as a combined rational atlas.

The source of the event used in the expansion of the individual rational atlas may be a reference rational atlas. For example, the electronic device 120 may determine a sub-graph that satisfies the expansion condition from the reference profile and combine the sub-graph with the individual profile. It should be appreciated that an individual rational atlas may be an atlas for a particular number (e.g., one) of media content, while a reference rational atlas is an atlas for a greater range of media content, which may be considered a global rational atlas. In some embodiments, the reference profile may be constructed for a particular domain, e.g., financial domain, semiconductor domain. Alternatively, the reference rational atlas may be constructed across multiple domains, or may be domain-free.

The electronic device 120 may extend the individual profile by any suitable factor. In some embodiments, the electronic device 120 may extend the individual's profile based on the event elements. Alternatively, in some embodiments, the electronic device 120 may extend the individual event maps based on event relationships. In some embodiments, the electronic device 120 may extend the individual event profile based on the event elements and event relationships.

Additionally, in some embodiments, process 200 may also be used to present a rational map. In particular, at block 240, the electronic device 120 may present an expanded individual's profile. In some embodiments, the electronic device 120 may be a server device. In such an embodiment, the expanded individual profile may be presented by a terminal device in communication with the electronic device 120.

Additionally, in some embodiments, process 200 may also be used to update the reference rational map. Specifically, at block 220, the electronic device 120 updates the reference profile with the individual profile. The electronic device 120 may also store and periodically update the reference profile to provide a matching source of events when expanding the individual profile.

The general flow of an example process 200 that can be implemented in the environment 100 is described above with reference to fig. 2. Example implementations of various blocks in process 200 will be described with continued reference to the accompanying drawings.

Example procedure for constructing an individual Accord map

As mentioned above, at block 210, the electronic device 120 builds an individual profile of the media content 110. For example, a rational map may be constructed for a news story.

Fig. 3 illustrates a flow chart of a process 300 of constructing an individual rational map according to some embodiments of the present disclosure. Process 300 may be viewed as an example implementation of block 210. The process 300 is described below with reference to fig. 1.

At block 310, the electronic device 120 collects media content. The media content may include, for example, administrative news, social news, popular science information, and the like. Taking news as an example of media content 110, electronic device 120 may periodically gather news through an interface provided by the website based on a list of news websites. The news website list is, for example, a mainstream news platform, an industry-specific news platform, a policy issuing platform, a knowledge sharing platform, and the like. The news website list may also be specified by the user.

At block 320, the electronic device 120 performs deduplication processing on the collected media content. The media content may be, for example, newsletter, described by taking news from a news website list. News from different news websites are cited and reloaded with each other, so that the collected news may be repeatable. The electronic device 120 may filter the collected news based on a deduplication algorithm.

In some embodiments, the electronic device 120 may employ a Simhash algorithm to deduplicate the collected media content. The de-duplication process may include the steps of word segmentation, hash value calculation, weighting, merging, dimension reduction, de-duplication, and the like. Specifically, the electronic device 120 may segment the text in the media content or the text identified or converted from the media content to obtain valid feature vectors, and further set a weight for each feature vector. The electronic device 120 may calculate hash values of the respective feature vectors by a hash function and set a weight for each feature vector. The electronic device 120 may in turn weight the feature vectors based on their hash values. Further, the electronic device 120 may accumulate the weighted results of the feature vectors to obtain a serial string. The electronic device 120 makes a determination for each digit of the sequence of digits. For digits greater than 0, set it to 1; for digits smaller than 0, it is set to 0. In this way, the electronic device 120 obtains the Simhash value corresponding to the media content. Finally, the electronic device 120 calculates a hash distance between any two media contents based on the Simhash value of each media content. If the hash distance is less than the preset threshold, the two media content is considered to be repeated. The electronic device 120 may remove one of the media content to implement the deduplication process.

It should be appreciated that the Simhash algorithm is only one example. In embodiments of the present disclosure, deduplication may be implemented using any suitable algorithm.

At block 330, the electronic device 120 extracts the event and event relationship. Block 330 may be performed for any or each media content after deduplication. The electronic device 120 may automatically extract events and event relationships for the deduplicated media content based on an event extraction algorithm. One or more events may be extracted from a single media content. For a certain media content, an event may not be extracted. Event relationships may include those described above with reference to FIG. 1. For example, in a news item about "enrich feed sources to address the problem of increasing feed prices leading to increased farming costs", the electronic device 120 may extract the first event "feed prices increase", the second event "farming costs increase", and the causal relationship of both.

Additionally, in some embodiments, the electronic device 120 may also determine a degree of association, also referred to herein as an association coefficient, with respect to the event relationship. The degree of association may indicate the strength of the event relationship, the event transition probability, the credibility of the event relationship, or the like. In some embodiments, the electronic device 120 may store the degree of association of the event relationship represented by the directed edge in association with the directed edge.

At block 330, any suitable event extraction algorithm may be employed to extract events and event relationships. Examples of event extraction algorithms may include, but are not limited to, classification-based event extraction methods, sequence annotation-based event extraction methods, reading understanding-based event extraction methods, generation-based event extraction methods, and so forth. The scope of the present disclosure is not limited in this respect.

As one example, the electronic device 120 may utilize a sequence annotation based event extraction algorithm to extract events and event relationships. Continuing with the example of news text, electronic device 120 may pre-process the de-duplicated news text, such as filtering for extra spaces, messy codes, text clauses, replacing interfering strings, and so forth. The electronic device 120 may identify the start and end positions of the event for the preprocessed news text by training a continuous event character sequence model to obtain descriptive fragments of the event, i.e., event names. The event name typically includes a trigger word for an event that specifies the event type of the event. Further, the electronic device 120 may determine an event relationship between events based on the trigger words of the events, and further calculate a degree of association between the events.

At block 340, the electronic device 120 extracts the event element. The electronic device 120 may extract event elements that the event has. Event elements may include, but are not limited to, event subjects, event objects, times, places, people, industries, companies, products. Each event may have one or more event elements or may have no event elements depending on the amount of information of the media content. For example, the event "increase in cultivation cost" and its corresponding event element are extracted from one news text. Event elements of the event "increase in cultivation cost" may include a time element "2022, 4 months, 1 day", an industry element "cultivation", and a location element "XX county".

At block 350, the electronic device 120 generates an individual's profile. Specifically, the electronic device 120 generates an individual event map based on the events and event relationships extracted at block 330. Continuing with the example above with respect to the farming industry, the generated individual event map may include a node representing a first event "feed price up", a node representing a second event "farming cost up", and a directed edge connected between the two nodes for representing a causal relationship between the two events. In this example, the directed edge points from a node representing a first event "feed price up" to a node representing a second event "raising cost up".

The individual event maps constructed may have different structures depending on the specific media content. Fig. 4A-4F illustrate schematic diagrams of example individual rational maps constructed in accordance with some embodiments of the present disclosure. The example individual event map 400A of fig. 4A represents the two events extracted and the corresponding event relationships. The example individual event map 400B of fig. 4B represents the extracted six events and corresponding event relationships. The events have an association relationship between each other, but are isolated from each other. The example individual event map 400C in fig. 4C and the example individual event map 400D in fig. 4D represent the four extracted events and corresponding event relationships, respectively. One event has an association relationship with the other three events, respectively. The example individual event map 400E of fig. 4E and the example individual event map 400F of fig. 4F represent the five events extracted and the corresponding event relationships. One event has one to three association relations with other events, respectively. In the above example, the event in the individual rational atlas is represented with a circle filled with oblique lines as a node; the event relationships in the individual event map are represented by solid arrows as directed edges. The style of the arrow may represent the kind of event relationships, such as context, cause and effect relationships, etc.

At block 360, the electronic device 120 associates the event elements with the corresponding events in the individual event map. For example, an event element that an event has may be stored as an attribute of the event in association with a node that represents the event. Fig. 5 illustrates a schematic diagram of associating event elements to an individual event map, according to some embodiments of the present disclosure. In the example of fig. 5, the electronic device 120 has extracted from the media content 110 event a represented by node 501, event B represented by node 502, event relationship between event a and event B, and event elements corresponding to each event. Specifically, the electronic device 120 extracts the event element 1, the event element 2, and the event element 3 corresponding to the event a, and extracts the event element 4, the event element 5, and the event element 6 corresponding to the event B. Accordingly, event element 1, event element 2, and event element 3 are associated to node 501 representing event a, while event element 4, event element 5, and event element 6 are associated to node 502 representing event B.

An example process of constructing an individual rational atlas is described above with reference to process 300. It should be appreciated that this is merely exemplary and that the individual profile may be constructed in any suitable manner in embodiments of the present disclosure. Further, the events, event relationships, number of events, event elements, patterns of event maps described with reference to process 300 are merely exemplary and are not intended to limit the scope of the present disclosure.

Examples of updating reference rational atlas

As described above with reference to fig. 2, in some embodiments, the electronic device 120 may update the reference profile with the individual profile at block 220. Updating the reference profile may also be referred to herein as fusing the individual profile with the reference profile. Fusing may refer to merging one or more nodes in the individual's rational atlas with one or more nodes in the reference rational atlas, respectively, or adding the individual's rational atlas itself to the reference rational atlas as part thereof. The particular manner of operation is merely exemplary and is not intended to limit the scope of the present disclosure. Thus, an individual rational atlas may be considered a sub-rational atlas with respect to a reference rational atlas or a global rational atlas.

The reference profile may be, for example, a fused profile generated from a large volume of media content for a particular industry, a particular domain, or a particular website, etc. The association between the various different events may be described from a global perspective with reference to a fact map. Examples of updating the reference profile are described below.

In some embodiments, to fuse the individual and reference event maps, the electronic device 120 may calculate a similarity of events in the individual and reference event maps. Then, the individual rational atlas may be fused with the reference rational atlas based on the similarity. The electronic device 120 may calculate the similarity between events based on event names, event elements, and the like.

As one example, the electronic device 120 may determine the similarity between events based on Jaccard similarity. Continuing with the example of fig. 5, electronic device 120 compares event a in the individual event map with another event in the reference event map. And segmenting the name of the event A and the elements, thereby obtaining a first segmentation set aiming at the event A. The electronic device 120 performs word segmentation with reference to the names and the elements of the events to be compared in the event map, thereby obtaining a second word segmentation set. The electronic device 120 determines a number of words in an intersection of the first and second sets and a number of words in a union of the two sets based on the first and second sets of tokens. Further, the electronic device 120 calculates a ratio of the number of words in the intersection to the number of words in the union, resulting in a Jaccard similarity. The electronic device 120 fuses the individual and reference rational maps according to Jaccard similarity.

The electronic device 120 may fuse the individual and reference event maps according to a relationship between the similarity and one or more preset thresholds. In some embodiments, two thresholds, a first threshold and a second threshold, may be preset, and the first threshold is greater than the second threshold. If the similarity between the two compared events is greater than a first threshold, then the two events may be considered the same event. Accordingly, electronic device 120 may merge the nodes in the individual rational atlas with the corresponding nodes in the reference rational atlas without adding new nodes in the reference rational atlas. Two events may be considered independent of each other if their similarity is less than a second threshold. Accordingly, the electronic device 120 adds nodes in the individual rational atlas to the reference rational atlas to achieve fusion of the atlas. Two events may be considered similar events if the similarity between the two events is between a first threshold and a second threshold. Accordingly, the electronic device 120 may add nodes in the individual event map to the reference event map and establish indications of similarity relationships (e.g., represented by directed edges in different styles) for similar events.

Fig. 6A-6C illustrate examples of updated reference event maps according to some embodiments of the present disclosure. The examples of fig. 6A to 6C are described in connection with fig. 5.

In the example of fig. 6A, the individual event map includes a node 501 representing event a and a node 502 representing event B. The electronic device 120 performs a traversal calculation of the similarity between the event a and the event B and the event represented by each node in the reference event map, respectively (the similarity calculation between the two events is represented by a dotted arrow in the figure, but all the dotted arrows of the traversal calculation are not shown). The similarity of event a to the event represented by node 601 in the reference event map is greater than a first threshold (e.g., 0.9). The electronic device 120 merges node 501 with node 601. The similarity of event B to the event represented by node 602 in the reference event map is also greater than a first threshold (e.g., 0.9). The electronic device 120 merges the node 502 with the node 602. To preserve the original relationship between event a and event B, a directed edge 611 from node 601 to node 602 is added to the reference event map. As shown, after fusion, no new nodes are added to the reference graph, but directed edges between event a and event B are added.

In the example of fig. 6B, the electronic device 120 performs a traversal calculation of the similarity of the event a and the event B in the individual event map with each event in the reference event map, respectively (only a part of the dotted arrow of the traversal calculation is shown in the figure). The similarity of event a to the event represented by node 601 in the reference event map is greater than a first threshold (e.g., 0.9). The electronic device 120 merges node 501 with node 601. The similarity of the event B to the event represented by each node in the reference rational map is less than a second threshold (e.g., 0.6). The electronic device 120 adds a node 604 representing event B at the reference rational map. Accordingly, to preserve the original relationship between event a and event B, a directed edge 612 is added to the reference event map from node 601 to node 604. After fusion, new nodes are added to the reference rational atlas and directed edges between event a and event B are added.

In the example of fig. 6C, the electronic device 120 performs a traversal calculation of the similarity between the event a and the event B in the individual event map and each event in the reference event map, respectively (only a part of the dotted arrows of the traversal calculation are shown in the figure). The similarity of event a to the event represented by node 601 in the reference rational map is between the first and second thresholds. Accordingly, the electronic device 120 adds node 501 to the reference event map and adds a directed edge 613 (which is a bi-directional edge) between node 501 and node 601 to indicate that event a has a similar relationship to the event represented by node 601. The similarity of event B to the event represented by node 602 in the reference event map is also between the first and second thresholds. Accordingly, the electronic device 120 adds the node 502 to the reference event map and adds a directed edge 614 (which is a bi-directional edge) between the node 502 and the node 602 to indicate that event B has a similar relationship to the event represented by the node 602. After fusion, new nodes are added to the reference rational atlas and indications of similar relationships are established between event a and similar events and between event B and similar events, respectively.

The update process of the reference rational map described above may be regarded as an incremental construction of the reference rational map. The incremental construction can be used for initially creating the reference event map and can also be used for incrementally updating the created reference event map. The new added individual rational atlas is continuously fused into the reference rational atlas, so that the reference rational atlas is continuously updated. In this way, a rich, comprehensive chain of events and event relationship network can be formed.

Examples of expanding individual rational atlases

As described above with reference to fig. 2, at block 230, the electronic device 120 expands the individual's profile. In particular, one or more subgraphs may be determined from the reference rational atlas as one or more additional rational atlas based on factors considered by the expansion. Further, one or more additional rational maps may be combined with the individual rational map to generate an expanded individual rational map.

In some embodiments, individual event maps may be expanded based on event elements. In order to help the user obtain richer information, the event with the matched event elements can be searched in the reference event map based on the event elements corresponding to the event, and the individual event map is expanded based on the event.

Specifically, for a certain event element included in the event included in the individual event map, an event having an event element matching the event element may be searched in the reference event map, which is also referred to as a matching event. In this context, two event elements matching may refer to the two event elements being the same or similar, which may mean that the two event elements differ by less than a threshold difference, e.g., for a time element, if the difference between two particular time values is less than a threshold difference, the two time elements may be considered to match. Matching two event elements may also mean that the two event elements have corresponding characteristics. For example, for a product element, a "plug" and a "socket" that are used conventionally at the same time may have a matching product element. Continuing with the example of the farming industry, the event element corresponding to the event "increase in farming cost" includes the industry element "farming". The electronic device 120 may determine an event "large scale farming" with an industry element from a reference fact map based on the industry element "farming" and take it as a matching event.

After the matching event is determined, additional rational atlas may be determined based on the matching event and combined with the individual rational atlas. In this way, an expansion of the individual rational atlas is achieved. The combination of the additional and individual event maps may be achieved via matched event elements.

The additional rational atlas may have any suitable number of levels. For example, nodes representing matching events may be added to individual event maps as additional event maps. That is, in this case, one-stage expansion is performed.

In some embodiments, the electronic device 120 may determine the number of tiers to expand. The number of levels to be expanded may be predetermined set or may be specified by user input. Further, a subgraph having the number of levels may be determined starting from the nodes representing the matching events in the reference rational atlas. The subgraph is combined with the individual rational atlas as an additional rational atlas. For example, in the case where the number of levels to be expanded is 2, the electronic device 120 may determine a node representing the matching event and a node directly connected to the node (if any) from the reference rational map as the additional rational map.

Based on the expansion of the event elements on the basis of the individual event map, the related events with the same, similar or corresponding elements and the evolution rules thereof can be determined. In this way, a user can be provided with more abundant information. The cause, development, or impact, etc. of the first event and/or the second event may be analyzed based on the same event subject or the same industry, etc. matched event.

Fig. 7A illustrates an individual event map 700A that is expanded based on event elements according to some embodiments of the present disclosure. The example of fig. 7A is described in connection with fig. 5. The individual profile includes event a and event B. As described with reference to fig. 5, event B has event element 5.

In the example of fig. 7A, the electronic device 120 expands the individual event profile based on the event element 5. The electronic device 120 finds the extended event 1 and the extended event 2 having the event element matching the event element 5 in the reference event map. Thus, at least node 701 representing extension event 1 and node 702 representing extension event 2 are added to the individual rational atlas. Additionally or alternatively, the electronic device 120 may expand the individual's profile based on a preset or user-set expansion progression. For example, if the acquisition two-stage extension event is set, the electronic device 120 finds extension event 3 having an association relationship with extension event 1. Thus, a subgraph comprising node 701 and node 703 representing extended event 3 is added to the individual event map and associated with event B via event element 5. In addition, the electronic device 120 also finds the extension event 4 having an association relationship with the extension event 2. Thus, a subgraph including node 702 and node 704 representing extended event 4 is added to the individual event map and associated with event B via event element 5.

By way of example and not by way of any limitation, event a may be "feed price up" and event B may be "raising cost up". The event element 5 of event B may be an industry element "farming". The expansion event 1 'live pig breeding deficit' and expansion event 2 'large-scale breeding' can be found. Further, the electronic device 120 finds that the expanded event 3 "profit greatly slips" having an association with the expanded event 1, and the expanded event 4 "industrialization conversion is high" having an association with the expanded event 2. In this example, an extension is made based on the industry element "farming" to facilitate users to obtain related events for the same industry, thereby knowing the recent dynamics of the industry.

Alternatively or additionally, in some embodiments, the electronic device 120 may extend the individual's profile based on event relationships. Specifically, for a certain event represented by a node in the individual event map, an event having an event relationship with the event may be found in the reference event map. Then, a number of levels of expansion may be performed based on the found events. In this way, the user may be assisted in combing the coming of an event. Event relationships as used herein include, but are not limited to, those described with reference to FIG. 1.

Fig. 7B illustrates an individual event map 700B that expands based on event relationships, according to some embodiments of the present disclosure. The example of fig. 7B is described in connection with fig. 5. The individual profile includes event a and event B.

In the example of fig. 7B, the electronic device 120 finds the extended event 5 having a context relation with the event a from the reference case map. Accordingly, a node representing the expansion event 5 and a directed edge representing the upper-lower relationship between the event a and the expansion event 5 may be added to the individual rational map for expansion. For example, event a may be "price of feed rising" and extension event 5 may be "price of food rising". The extended event 6 and the extended event 7 which have an upper-lower relationship with the event a are also found from the reference map, for example, "chicken feed price increase" and "pig feed price increase", respectively. Accordingly, a node representing the expansion event 6 and a directed edge representing the upper-lower relationship between the event a and the expansion event 6 may be added to the individual rational map for expansion. In addition, a node representing the expansion event 7 and a directed edge representing the upper-lower relationship between the event a and the expansion event 7 may be added to the individual rational map for expansion. The electronic device 120 finds an extended event 8 in the reference event map that has a causal relationship with event B, which is, for example, "revenue decline". Accordingly, a node representing the expansion event 8 and a directed edge representing a causal relationship between the event B and the expansion event 8 may be added to the individual rational atlas for expansion.

In some embodiments, the electronic device 120 may extend the individual event profile based on the event relationships and event elements. Fig. 7C illustrates an individual event map 700C that is expanded based on event relationships and event elements, according to some embodiments of the present disclosure. The rational map 700C may be considered as a superposition of the rational map 700A and the rational map 700B. Specifically, the extended individual event map includes nodes representing extended events 1 to 4 based on event elements, and includes nodes representing extended events 5 to 8 based on event relationships.

Examples of extensions are described above with reference to fig. 7A to 7C. It should be understood that the number of nodes, the relationships between events, and the style of the event map shown in these figures are merely exemplary and are not intended to limit the scope of the present disclosure. Further, the expansion based on which event element or elements may be default or user selected. Alternatively or additionally, expansion based on which event relationship or relationships may be default or user-selected.

Examples of presenting extended individual rational atlases

As mentioned briefly above, as the user browses the media content 110, a profile associated with the media content 110 may be presented. Some examples are described below with reference to fig. 8A-8C. The presentation of the rational map is described below with respect to the electronic device 120 for exemplary purposes only, but this is merely exemplary. The presentation of the incident map may be presented by any suitable device, such as by other devices in communication with the electronic device 120.

In the example of fig. 8A, as a user browses media content 110, electronic device 120 presents visual presentation 800A. Visual presentation 800A includes an individual rational map 810 corresponding to media content 110. Individual profile 810 includes a plurality of nodes, in this example node 801, node 802, node 803, and node 804. The visual pattern of these nodes is a diagonally filled circle. Each node represents an event extracted from media content 110, e.g., node 801 represents event C, node 802 represents event D, node 803 represents event E, and node 804 represents event F.

Individual profile 810 also includes at least one directed edge, in this example directed edge 811, directed edge 812, and directed edge 813. The visual pattern of these directed edges is a solid line with arrows. Each directed edge represents an event relationship, e.g., directed edge 811 represents an event relationship between event C and event D, directed edge 812 represents an event relationship between event D and event E, and directed edge 813 represents an event relationship between event D and event F.

As described with reference to fig. 1, an event may have one or more event elements. In some embodiments, the electronic device 120 may further present a plurality of interface elements that respectively represent a plurality of event elements, each of which belongs to an event in the individual event map 810. For example, in the example of fig. 8A, event C has a time element, a character element, and a place element. Accordingly, a time interface element representing an event element, a character interface element representing a character element, and a place interface element representing a place element are presented in association with the node 801. For another example, event D has a time element and a product element. Accordingly, a time interface element representing a time element and a product interface element representing a product element are presented in association with node 802.

In embodiments of the present disclosure, the interface elements representing the event elements may have any suitable form or effect. In fig. 8A and other figures, interface elements representing event elements have visual effects corresponding to the event elements they represent. For example, the human interface element is a human icon, the place interface element is a place icon, and the product interface element is an icon of a specific product. In this way, the user can be visually informed in an intuitive way as to what types of elements the different events are associated with each other. It should be understood that this is merely exemplary and that the interface elements may be presented in other ways. In some embodiments, the interface element may be presented as a node (e.g., similar to, and may have the same or a different shape than, the node representing the event) and/or text. For example, an interface element representing a persona element may be presented as a node having a shape (such as a circle) and identified with information such as a persona name.

Example presentations of individual event atlases 810 and corresponding event elements are described above. The presented individual rational atlas 810 and event elements may be obtained as described above with reference to fig. 3.

In addition to the individual event maps, the electronic device 120 presents one or more additional event maps that are expanded based on the event elements. Continuing with the example of fig. 8A. Visual presentation 800A also includes additional rational atlas 820, additional rational atlas 830, and additional rational atlas 840. These additional event maps are equivalent to supplementing the individual event maps 810 with information that can help the user clear the context of the event or understand the associated event information. As an example, the additional rational atlas 820 includes nodes 805 whose visual style is a hollow circle. The event represented by node 805 has a matching event element, in this example a time element, with event C represented by node 801. Visual presentation 800A includes an interface element, in this example time interface element 809, corresponding to the event element. The visual style of the time interface element 809 is a clock icon.

In some embodiments, additional event maps that are extended based on event elements may have multiple levels. That is, the additional rational atlas may include a plurality of nodes. In the example of fig. 8A, additional event map 820 also includes node 806, which represents an event having an event relationship with the event represented by node 805. The event relationship is represented by a directed edge, the visual pattern of which is a solid line with an arrow. Additional rational atlas 830 and additional rational atlas 840 are similar to additional rational atlas 820, and thus their description is not repeated.

In some embodiments, the electronic device 120 may also present a directed element directed from the interface element to the node to indicate that the event represented by the node has an event element represented by the interface element. In particular, for two events having matching event elements, nodes representing the two events may be visually associated by an interface element representing the matching event element. In the example of fig. 8A, visual presentation 800A also includes a directed element between the interface element and the node. For example, the events represented by node 801 and node 805 have matching event elements. Accordingly, a directed element 814 is presented that points from time interface element 809 to node 801, and a directed element 815 is presented that points from the time interface element 809 to node 805. The visual pattern of these directed elements is a dashed line with arrows.

It should be understood that the above description of the visual styles of the elements in visual presentation 800A, as well as the description of the visual association between the individual and additional rational maps, are merely exemplary and are not intended to limit the scope of the present disclosure. The electronic device 120 may present elements in these maps in various visual styles, for example, representing events in different maps with nodes of different patterns, representing categories of event relationships with the length, thickness, line type, or arrow direction of directed edges, and representing categories of event elements with interface elements of different icons. The electronic device 120 may present visual associations between individual and additional rational maps in different layouts. For example, electronic device 120 may present an individual rational atlas 810 and an additional rational atlas 820 on both sides of time interface element 809 as a center. For another example, electronic device 120 may center around time interface element 809, presenting individual elements in individual resultant map 810 and individual elements in additional resultant map 820.

Additional rational atlas 820, additional rational atlas 830, and additional rational atlas 840 are expanded based on the event element. See the description above for fig. 7A-7C for how to extend an individual rational map based on event elements.

Some examples of the presented rational atlases continue to be described. In some embodiments, the electronic device 120 may also present one or more additional event maps that are expanded based on the event relationships. Reference is made to the visual presentation 800B shown in fig. 8B. Visual presentation 800B differs from visual presentation 800A in that further additional event maps are included. At least one event represented by each of these additional event maps has an event relationship with an event in the individual event map 810. For example, visual presentation 800B includes additional rational atlas 850 expanded from node 801. Additional rational atlas 850 includes nodes 807. The events represented by node 807 have event relationships with the events represented by node 801, such as those described above with reference to FIG. 1. Additionally or alternatively, the visual presentation 800B may also include a directed edge 816 that represents the event relationship.

In some embodiments, additional event maps that are extended based on event relationships may have multiple levels. That is, the additional rational atlas may include a plurality of nodes. For example, additional rational atlas 850 also includes node 808. The event represented by node 808 has an event relationship, such as a causal relationship, with the event represented by node 807.

In some embodiments, in addition to the individual event maps and the expanded additional event maps, the electronic device 120 may also present additional information about these event maps, such as the degree of association of event relationships, either explicitly or implicitly. Refer to the example of fig. 8C. Visual presentation 800C differs from visual presentation 800B in that it also includes an indication of the degree of association corresponding to the event relationship. In this example, the indications of the degree of association are presented by numerical values. For example, the value of the degree of association corresponding to the event relationship between the event represented by the node 805 and the event represented by the node 806 is 0.81. The value of the degree of association is noted on the directed edge 817 between the two nodes. The degree of association of other event relationships is also shown in fig. 8C, and a description thereof will not be repeated here.

In the example of fig. 8C, the electronic device 120 explicitly presents the degree of association as a numerical value. But this is merely exemplary. Alternatively or additionally, in some embodiments, the degree of association may be presented implicitly. The visual style of the directed edge presented may correspond to a degree of association of the event relationship represented by the directed edge. For example, the thickness of the directed edge may depend on the degree of association of the event relationships it represents.

In such embodiments, more information may be provided to the user by explicitly or implicitly presenting the degree of association to the user. Such information is more useful in assisting the user in judging the likely trend and/or likely cause of the event, etc.

Examples of visual presentation of media content are described above with reference to fig. 8A-8C. The one or more settings of the visual presentation may be default or predetermined. Alternatively or additionally, in some embodiments, one or more settings of the visual presentation may be determined by user interaction. That is, the user may customize the visual presentation of the media content as desired by himself. Some examples of this are described below.

In some embodiments, the number of additional levels of the incident map presented may be specified by the user. Accordingly, the electronic device 120 may present a corresponding number of levels based on the number of levels of the additional rational-graph specified by the user input. Returning to the example of fig. 8A, if the number of specified levels is 2, a two-level event is presented for the additional event map 820. For example, the additional event map 820 includes nodes 805 representing first level events and nodes 806 representing second level events. If the number of specified levels is 1, the additional event map 820 presents only one level of events. For example, the additional event map 820 includes only nodes 805 representing first level events. In this way, some of the associated events may be filtered, helping the user focus on the events of interest or most relevance.

In some embodiments, the conditions or factors that extend the individual profile may be user-specified. Accordingly, the electronic device 120 may present additional rational-graphs that conform to the condition or factor specified by the user input based on the condition or factor. As an example, a user may specify which event element or elements to base on to extend an individual profile. For example, if the user specifies that the expansion is based on a time element without consideration of other event elements, the electronic device 120 may present the additional rational atlas 820 without the additional rational atlas 830 and the additional rational atlas 840. In this way, the user is helped to quickly find events of interest or concern.

In some embodiments, the presentation of the additional event map is in response to a user selection of an event element. In particular, the electronic device 120 may receive a user selection presentation of a certain event element, and accordingly present additional event maps that are extended based on the event element. For example, by default, the electronic device 120 initially presents only the individual event atlas 810 and the interface element representing the event element. If the user selects the time interface element, the electronic device 120 further presents an additional rational map 820. Additional rational atlas 820 is derived by expanding individual rational atlas 810 based on time factors. If the user continues to select an industry interface element, the electronic device 120 presents an additional rational map 840. In this way, the user is facilitated to selectively view events of interest.

In some embodiments, the presentation of the additional event map is in response to a user selection of an event. In particular, the electronic device 120 may receive a user selection of a node, and accordingly present additional rational maps extending from the node. For example, electronic device 120 presents one or more of individual event maps 810, interface elements representing event elements, and additional event maps 820-840 that are expanded based on the event elements. If the user selects node 801, electronic device 120 presents an additional rational map 850 (see FIG. 8B). Additional event maps 850 are extensions of individual event maps 810 based on event relationships. In this way, the user is facilitated to selectively view events of interest.

In some embodiments, the electronic device 120 may present an indication of the degree of association based on the user's selection of the directed edge. For example, the electronic device 120 initially presents an individual rational atlas, an interface element representing an event element, and one or more additional rational atlas. If the user selects the directed edge 817, the electronic device 120 presents an indication of the degree of association of the event relationship represented by the directed edge 817, i.e., a value of 0.81.

It should be understood that the presentation styles shown in fig. 8A-8C are merely exemplary and are not intended to limit the scope of the present disclosure. In embodiments of the present disclosure, the media content may be visually presented in any suitable fashion.

As can be seen from fig. 8A to 8C, the visual presentations 800A to 800C presented to the user by the electronic device 120 include different amounts of information, but each has the characteristics of being intuitive and concise, and can improve the efficiency of the user to obtain media information.

In summary, according to various embodiments of the present disclosure, the electronic device 120 may automatically extract the events, the event relationships, and the event elements included in all the media contents 110 within the specified range, and establish the reference event map. The electronic device 120 may also automatically extract events, event relationships, and event elements contained in the particular media content 110 to construct an individual event map. The electronic device 120 may further fuse the individual rational atlas with the reference rational atlas, so as to dynamically update the reference rational atlas and facilitate expansion of the individual rational atlas. Further, electronic device 120 may match events from the reference event map based on event elements and/or event relationships for expanding the individual event map. In this way, the method can help the user to efficiently acquire visual and refined media information in a manner of a rational map, and can also help the user to deeply get into an event, analyze the occurrence reason of the event, pre-judge the subsequent influence of the event and the like.

Example procedure

Fig. 9 illustrates a flow chart of a process 900 of information processing according to some embodiments of the present disclosure. Process 900 may be implemented at electronic device 120. For ease of discussion, process 900 is described with reference to FIG. 1.

At block 910, the electronic device 120 presents a first event map corresponding to the media content, the first event map including at least a first node representing a first event, a second node representing a second event, and a first directed edge representing a first event relationship between the first event and the second event, the first event, the second event, and the first event relationship being determined from the media content.

At block 920, the electronic device 120 presents a second event map in association with the first event map, the second event map including at least a third node representing a third event, at least one of the first event or the second event having a first event element that matches a second event element that the third event has.

In some embodiments, to present a second event map in association with the first event map, electronic device 120 visually associates the second event map with the first event map through an interface element representing the first event element.

In some embodiments, to visually associate the second event map with the first event map, the electronic device 120 presents a first directed element pointing from the interface element to a node in the first event map representing at least one event; and presenting a second directed element, the second directed element pointing from the interface element to the third node.

In some embodiments, process 900 further includes: the electronic device 120 presents a plurality of interface elements that respectively represent a plurality of event elements, each event element belonging to at least one of the first event or the second event, and the plurality of event elements includes the first event element.

In some embodiments, process 900 further includes: the electronic device 120 receives a selection of an interface element of the plurality of interface elements, and wherein presenting the second event map in association with the first event map is responsive to the interface element representing the first event element being selected.

In some embodiments, process 900 further includes: the electronic device 120 presents a fourth node representing a fourth event, the fourth event having a second event relationship with the first event; and presenting a second directed edge between the first node and the fourth node representing a second event relationship.

In some embodiments, process 900 further includes: at least one of the following: the electronic device 120 presents an indication of the degree of association with respect to the first event relationship, or presents the first directed edge in a visual pattern corresponding to the degree of association.

In some embodiments, process 900 further includes: the electronic device 120 receives a user input specifying a number of levels to expand for the first event element, and wherein the presented second event map has the specified number of levels.

In some embodiments, the second rational atlas is determined by: the electronic device 120 determines, starting from the node representing the third event, a sub-graph having a number of levels in the reference rational atlas as the second rational atlas.

In some embodiments, the third node has a different visual effect than the first node and the second node.

Example apparatus

Fig. 10 illustrates a block diagram that shows an electronic device 1000, in which one or more embodiments of the disclosure may be implemented. It should be understood that the electronic device 1000 shown in fig. 10 is merely exemplary and should not be construed as limiting the functionality and scope of the embodiments described herein. The electronic device 1000 shown in fig. 10 may be used to implement the electronic device 120 of fig. 1.

As shown in fig. 10, the electronic device 1000 is in the form of a general-purpose electronic device. Components of electronic device 1000 may include, but are not limited to, one or more processors or processing units 1010, memory 1020, storage 1030, one or more communication units 1040, one or more input devices 1050, and one or more output devices 1060. The processing unit 1010 may be an actual or virtual processor and is capable of executing various processes according to programs stored in the memory 1020. In a multiprocessor system, multiple processing units execute computer-executable instructions in parallel to improve the parallel processing capabilities of electronic device 1000.

Electronic device 1000 typically includes multiple computer storage media. Such a medium may be any available media that is accessible by electronic device 1000, including, but not limited to, volatile and non-volatile media, removable and non-removable media. The memory 1020 may be volatile memory (e.g., registers, cache, random Access Memory (RAM)), non-volatile memory (e.g., read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory), or some combination thereof. Storage 1030 may be a removable or non-removable medium and may include machine-readable media, such as flash drives, magnetic disks, or any other medium that may be used to store information and/or data (e.g., training data for training) and may be accessed within electronic device 1000.

The electronic device 1000 may further include additional removable/non-removable, volatile/nonvolatile storage media. Although not shown in fig. 10, a magnetic disk drive for reading from or writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk may be provided. In these cases, each drive may be connected to a bus (not shown) by one or more data medium interfaces. Memory 1020 may include a computer program product 1025 having one or more program modules configured to perform the various methods or acts of the various embodiments of the disclosure.

The communication unit 1040 enables communication with other electronic devices through a communication medium. Additionally, the functionality of the components of the electronic device 1000 may be implemented in a single computing cluster or in multiple computing machines capable of communicating over a communications connection. Thus, the electronic device 1000 may operate in a networked environment using logical connections to one or more other servers, a network Personal Computer (PC), or another network node.

The input device 1050 may be one or more input devices such as a mouse, keyboard, trackball, etc. The output device 1060 may be one or more output devices such as a display, speakers, printer, etc. The electronic device 1000 may also communicate with one or more external devices (not shown), such as storage devices, display devices, etc., with one or more devices that enable a user to interact with the electronic device 1000, or with any device (e.g., network card, modem, etc.) that enables the electronic device 1000 to communicate with one or more other electronic devices, as desired, via the communication unit 1040. Such communication may be performed via an input/output (I/O) interface (not shown).

According to an exemplary implementation of the present disclosure, a computer-readable storage medium having stored thereon computer-executable instructions, wherein the computer-executable instructions are executed by a processor to implement the method described above is provided. According to an exemplary implementation of the present disclosure, there is also provided a computer program product tangibly stored on a non-transitory computer-readable medium and comprising computer-executable instructions that are executed by a processor to implement the method described above.

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus, devices, and computer program products implemented according to the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various implementations of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The foregoing description of implementations of the present disclosure has been provided for illustrative purposes, is not exhaustive, and is not limited to the implementations disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various implementations described. The terminology used herein was chosen in order to best explain the principles of each implementation, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand each implementation disclosed herein.

Claims

1. An information processing method, comprising:

generating a first event map corresponding to media content, the first event map comprising at least a first node representing a first event, a second node representing a second event, and a first directed edge representing a first event relationship between the first event and the second event, the first event, the second event, and the first event relationship being determined from the media content;

determining a third event having a second event element matching the first event element from a reference event map based on a first event element possessed by at least one of the first event or the second event; and

The first event map is combined with a second event map comprising at least a third node representing the third event.

2. The method of claim 1, further comprising:

determining a fourth event from the reference event map having a second event relationship with the first event;

adding a fourth node representing the fourth event in the first event map; and

a second directed edge representing the second event relationship is added between the first node and the fourth node.

3. The method of claim 1, further comprising:

a degree of association with respect to the first event relationship is stored in association with the first directed edge.

4. The method of claim 1, wherein the second rational map is determined by:

determining a number of levels to expand for the first event element; and

starting from the node representing the third event in the reference rational atlas, determining a subgraph having the number of levels as the second rational atlas.

5. The method of claim 4, wherein the number is specified by user input.

6. The method of claim 1, further comprising:

determining a first similarity of the first event to a fifth event represented by a fifth node in the reference rational map and a second similarity of the second event to a sixth event represented by a sixth node in the reference rational map;

updating the reference rational map based on the first similarity, the second similarity, a first threshold, and a second threshold that is less than the first threshold.

7. The method of claim 6, wherein updating the reference profile comprises:

in response to the first similarity exceeding the first threshold and the second similarity exceeding the first threshold, a directed edge is added between the fifth node and the sixth node representing the first event relationship.

8. The method of claim 6, wherein updating the reference profile comprises:

in response to the first similarity exceeding the first threshold and the second similarity being less than the second threshold, adding a seventh node representing the second event in the reference rational map; and

a directed edge is added between the fifth node and the seventh node representing the first event relationship.

9. The method of claim 6, wherein updating the reference profile comprises:

adding the first event map in the reference event map in response to the first and second similarities both lying between the first and second thresholds; and

adding an indication that the first event is similar to the fifth event and an indication that the second event is similar to the sixth event in the reference event map.

10. The method of claim 1, further comprising:

in response to the media content being presented or selected, the combined first and second event maps are presented.

11. An electronic device, comprising:

at least one processing circuit configured to perform the method according to any one of claims 1 to 10.