CN109033464A - Method and apparatus for handling information - Google Patents
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- CN109033464A CN109033464A CN201811010467.9A CN201811010467A CN109033464A CN 109033464 A CN109033464 A CN 109033464A CN 201811010467 A CN201811010467 A CN 201811010467A CN 109033464 A CN109033464 A CN 109033464A
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Abstract
The embodiment of the present application discloses the method and apparatus for handling information.One specific embodiment of this method includes: the attribute information for obtaining target video；The attribute information of target video is matched in preset knowledge mapping, characterization video entity attributes information, is determined in knowledge mapping according to matching result with the presence or absence of the matching entities to match with target video；In response to determining that there are at least two matching entities, the attribute information based on matching entities generates message and message generated is added in the message queue pre-established；Carry out the operation associated instruction of self terminal in response to receiving, establishes incidence relation for target video and the corresponding matching entities of operation associated instruction.The embodiment can use message queue, improve the efficiency and accuracy for establishing the incidence relation of target video and matching entities.
Description
Technical field
The invention relates to field of computer technology, and in particular to the method and apparatus for handling information.
Background technique
Knowledge mapping (Knowledge Graph) is the knowledge that one kind is called semantic network (semantic network)
Library has a knowledge base of digraph structure, wherein the node on behalf entity (entity) or concept of figure
(concept), and the side of figure represents the various semantic relations between entity/concept.Entity can have corresponding attribute information,
Attribute information can be used for characterizing certain attributes (such as the attributes such as classification, storage address of information of entity characterization) of entity.
Knowledge mapping can be applied to the fields such as various fields, such as information search, information recommendation.It is available using knowledge mapping
With other entities for the entity associated for characterizing a certain information, so as to accurately obtain other letters with the information association
Breath.During establishing knowledge mapping, in order to ensure the accuracy of the incidence relation between entity, manual examination and verification can be passed through
Mode, determine have similar attribute information entity whether there is incidence relation.
Summary of the invention
The embodiment of the present application proposes the method and apparatus for handling information.
In a first aspect, the embodiment of the present application provides a kind of method for handling information, this method comprises: obtaining target
The attribute information of video；By the entity attributes of characterization video in the attribute information of target video and preset knowledge mapping
Information is matched, and is determined in knowledge mapping according to matching result with the presence or absence of the matching entities to match with target video；It rings
It should be in determining that there are at least two matching entities, the attribute information based on matching entities generates message and adds message generated
Enter in the message queue pre-established；Carry out the operation associated instruction of self terminal in response to receiving, for target video and be associated with grasp
Make that corresponding matching entities is instructed to establish incidence relation, wherein operation associated instruction is to receive message by message queue
Terminal detect to the corresponding matching entities of received message and target video operation associated and generate.
In some embodiments, it determines in knowledge mapping according to matching result with the presence or absence of matching with target video
After matching entities, this method further include: there is no the matching to match with target video realities in knowledge mapping in response to determining
Body generates the entity for characterizing target video；Attribute information based on target video generates the entity of characterization target video
Attribute information, and entity generated and entity attributes information generated are added in knowledge mapping.
In some embodiments, it determines in knowledge mapping according to matching result with the presence or absence of matching with target video
After matching entities, this method further include: in response to determining the matching to match there are one with target video in knowledge mapping
Entity establishes the incidence relation of target video and matching entities.
In some embodiments, the incidence relation of target video and matching entities is established, comprising: by the attribute of target video
The attribute information of information and matching entities merges into new attribute information；It is real that obtained new attribute information is determined as matching
The attribute information of body.
In some embodiments, incidence relation is established for target video and the corresponding matching entities of operation associated instruction, wrapped
It includes: the attribute information of the attribute information of target video and the corresponding matching entities of operation associated instruction being merged into new attribute and is believed
Breath；Obtained new attribute information is determined as to the attribute information of the corresponding matching entities of operation associated instruction.
In some embodiments, attribute information includes text information；And by the attribute information of target video with it is preset
In knowledge mapping, characterization video entity attributes information is matched, according to matching result determine in knowledge mapping whether
In the presence of the matching entities to match with target video, comprising: the text information and knowledge for including by the attribute information of target video
The text information that in map, characterization video entity attributes information includes carries out similarity calculation, will be greater than or equal to default
The corresponding entity of similarity of similarity threshold be determined as the matching entities to match with target video.
Second aspect, the embodiment of the present application provide it is a kind of for handling the device of information, the device include: obtain it is single
Member is configured to obtain the attribute information of target video；Determination unit is configured to the attribute information of target video and presets
Knowledge mapping in, characterization video entity attributes information matched, being determined in knowledge mapping according to matching result is
It is no to there are the matching entities to match with target video；First generation unit is configured in response to determine that there are at least two
Matching entities, the attribute information based on matching entities generate message and message generated are added to the message queue pre-established
In；First establishing unit is configured in response to receive the operation associated instruction of self terminal, for target video and be associated with grasp
Make that corresponding matching entities is instructed to establish incidence relation, wherein operation associated instruction is to receive message by message queue
Terminal detect to the corresponding matching entities of received message and target video operation associated and generate.
In some embodiments, device further include: the second generation unit is configured in response to determine in knowledge mapping
There is no the matching entities to match with target video, generate the entity for characterizing target video；Third generation unit is matched
It is set to the entity attributes information that attribute information based on target video generates characterization target video, and by entity generated
It is added in knowledge mapping with entity attributes information generated.
In some embodiments, device further include: second establishes unit, is configured in response to determine in knowledge mapping
The matching entities to match there are one with target video establish the incidence relation of target video and matching entities.
In some embodiments, second to establish unit include: the first merging module, is configured to the attribute of target video
The attribute information of information and matching entities merges into new attribute information；First determining module, being configured to will be obtained new
Attribute information be determined as the attribute informations of matching entities.
In some embodiments, first establishing unit includes: the second merging module, is configured to the attribute of target video
The attribute information of information and the corresponding matching entities of operation associated instruction merges into new attribute information；Second determining module, quilt
It is configured to for obtained new attribute information to be determined as the attribute information of the corresponding matching entities of operation associated instruction.
In some embodiments, attribute information includes text information；And determination unit is further configured to: by target
The text that in the text information and knowledge mapping that the attribute information of video includes, characterization video entity attributes information includes
Information carries out similarity calculation, and the corresponding entity of similarity for the preset similarity threshold that will be greater than or equal to is determined as regarding with target
The matching entities that frequency matches.
The third aspect, the embodiment of the present application provide a kind of server, which includes: one or more processors；
Storage device is stored thereon with one or more programs；When one or more programs are executed by one or more processors, so that
One or more processors realize the method as described in implementation any in first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer-readable medium, are stored thereon with computer program, should
The method as described in implementation any in first aspect is realized when computer program is executed by processor.
Method and apparatus provided by the embodiments of the present application for handling information, by being determined from preset knowledge mapping
The matching entities to match with target video, then determine the quantity of matching entities, if identified quantity is more than or equal to two,
Attribute information based on matching entities generates message and message generated is added in message queue, in response to receiving association
Operational order establishes the incidence relation of target video and the corresponding matching entities of operation associated instruction, so as to utilize message
Queue improves the efficiency and accuracy for establishing the incidence relation of target video and matching entities.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is that one embodiment of the application can be applied to exemplary system architecture figure therein；
Fig. 2 is the flow chart according to one embodiment of the method for handling information of the embodiment of the present application；
Fig. 3 is the schematic diagram according to an application scenarios of the method for handling information of the embodiment of the present application；
Fig. 4 is the flow chart according to another embodiment of the method for handling information of the embodiment of the present application；
Fig. 5 is the structural schematic diagram according to one embodiment of the device for handling information of the embodiment of the present application；
Fig. 6 is adapted for the structural schematic diagram for the computer system for realizing the server of the embodiment of the present application.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 is shown can the method for handling information using the embodiment of the present application or the device for handling information
Exemplary system architecture 100.
As shown in Figure 1, system architecture 100 may include terminal device 101,102,103, network 104 and server 105.
Network 104 between terminal device 101,102,103 and server 105 to provide the medium of communication link.Network 104 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used terminal device 101,102,103 and be interacted by network 104 with server 105, to receive or send out
Send message etc..Various telecommunication customer end applications can be installed, such as data processing class is answered on terminal device 101,102,103
With, video playback class application, web browser applications, instant messaging tools, social platform software etc..
Terminal device 101,102,103 can be hardware, be also possible to software.When terminal device 101,102,103 is hard
When part, it can be various electronic equipments, including but not limited to smart phone, tablet computer, pocket computer on knee and desk-top
Computer etc..When terminal device 101,102,103 is software, may be mounted in above-mentioned cited electronic equipment.Its
Multiple softwares or software module (such as providing the software of Distributed Services or software module) may be implemented into, it can also be real
Ready-made single software or software module.It is not specifically limited herein.
Server 105 can be to provide the server of various services, such as to the mesh that terminal device 101,102,103 uploads
The back-end data processing server that the attribute information of mark video is handled.Back-end data processing server can be to the mesh of acquisition
The attribute information of mark video is handled, and processing result (such as message of the attribute information generation based on matching entities) is anti-
It feeds terminal device, is closed with the association that target video and matching entities are established in the operation associated instruction sent by terminal device
System.
It should be noted that the method provided by the embodiment of the present application for handling information is generally held by server 105
Row, correspondingly, the device for handling information is generally positioned in server 105.
It should be noted that server can be hardware, it is also possible to software.When server is hardware, may be implemented
At the distributed server cluster that multiple servers form, individual server also may be implemented into.It, can when server is software
To be implemented as multiple softwares or software module (such as providing the software of Distributed Services or software module), also may be implemented
At single software or software module.It is not specifically limited herein.
It should be understood that the number of terminal device, network and server in Fig. 1 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.
With continued reference to Fig. 2, the process of one embodiment of the method for handling information according to the application is shown
200.The method for being used to handle information, comprising the following steps:
Step 201, the attribute information of target video is obtained.
In the present embodiment, can lead to for handling the executing subject (such as server shown in FIG. 1) of the method for information
Wired connection mode or radio connection are crossed from attribute information long-range or from local acquisition target information.Wherein, target
Video can be the preassigned video of technical staff, or the video being stored in a certain video collection.It should be appreciated that mesh
Mark video can be various types of videos, such as film, TV play, the small video of user's upload etc..
The attribute information of target video can be information relevant to target video, can include but is not limited to it is following at least
It is a kind of: the relevant personage of target video (such as video production person, performer, director etc.) information, the relevant time (example of target video
Such as show time, shooting time) information, the relevant description information of target video (such as brief introduction, stage photo, poster picture etc.) etc.
Information.
Step 202, by the entity attributes of characterization video in the attribute information of target video and preset knowledge mapping
Information is matched, and is determined in knowledge mapping according to matching result with the presence or absence of the matching entities to match with target video.
In the present embodiment, based on the attribute information obtained in step 201, above-mentioned executing subject can first be regarded target
The attribute information of frequency is matched in preset knowledge mapping, characterization video entity attributes information.Wherein, knowledge graph
Entity in spectrum can be used for characterizing certain information (such as information of characterization personage, place, time, things etc.).In general, knowledge
Entity in map can be used for characterizing certain things or concept (such as characterization personage, place, time, information etc.).Entity
Form may include following at least one: number, text, symbol etc..In the present embodiment, knowledge mapping may include for table
The entity of video is levied, as an example, pre-establishing can be " v-abc " for characterizing the entity of certain video, wherein " v " table
Show the entity for characterizing video, " abc " is the mark for characterizing the video.In addition, the knowledge mapping of the present embodiment may be used also
To include the entity for characterizing other things in addition to video or concept, for example, pre-establish for characterizing certain personage's
Entity can be " p-xyz ", wherein " p " indicates the entity for characterizing personage, and " xyz " is the mark for characterizing the personage.
Entity attributes information for characterizing video can be information relevant to the video of entity characterization, may include
But it is not limited to following at least one: personage's (such as video production person, performer, director etc.) information relevant to video and video
Relevant time (such as show time, shooting time etc.) information, video source-information (such as video broadcast address, view
Web site name etc. where frequency) and other relevant to video content information (such as video profile, stage photo, poster picture
Deng) etc..In general, in knowledge mapping, the corresponding relationship of entity and attribute information can with the data structure of triple form come
It indicates, i.e., " entity-attribute-attribute value ", wherein entity attributes information may include above-mentioned attribute-attribute value.For example, certain
Triple can be " abc123- title-XXX ", wherein " abc123 " is the entity for characterizing film " XXX ", and " title " is
One attribute, " XXX " are attribute value.
Above-mentioned executing subject can be according to various methods by the attribute information of target video and above-mentioned knowledge mapping, table
The entity attributes information of sign video is matched, and matching result is obtained.Wherein, the quantity of matching result can be multiple, often
A matching result corresponds to an entity in knowledge mapping.For example, the attribute information of entity and target video may include figure
Picture, image can be the truncated picture from video, be also possible to the poster image etc. of video.Above-mentioned executing subject can be according to
Algorithm (such as the Histogram distance algorithm, average hash algorithm, perceptual hash algorithm of similarity between existing determining image
Deng), determine the figure that each entity attributes information in image and knowledge mapping that the attribute information of target video includes includes
The similarity of picture is as matching result.
Then, above-mentioned executing subject can determine in knowledge mapping according to matching result and whether there is and target video phase
The matching entities matched.Specifically, above-mentioned executing subject can type according to matching result and preset and matching result
The corresponding threshold value of type, determine in knowledge mapping with the presence or absence of matching entities.For example, when matching result is target video
When the similarity for the image that the entity attributes information in the image and knowledge mapping that attribute information includes includes, it can will be greater than
It is determined as matching entities equal to the corresponding entity of similarity for the preset similarity threshold of image.
In the present embodiment, the video of matching entities instruction can be and the same or similar video of target video.For example,
Target video is film " XXX ", and the video of matching entities instruction can be similarly film " XXX ", alternatively, matching entities instruction
Video can be another version (such as non-bowdlerized version, other language dub version etc.) of film " XXX ".
In some optional implementations of the present embodiment, attribute information may include that text information (such as each is drilled
Member title, to description of content of video etc.).The text that the attribute information of target video can be included by above-mentioned executing subject
The text information that in information and knowledge mapping, characterization video entity attributes information includes carries out similarity calculation, will be big
It is determined as the matching entities to match with target video in the corresponding entity of similarity for being equal to preset similarity threshold.Specifically
Ground, above-mentioned executing subject can be according to algorithm (such as Jie Kade (Jaccard) similarity operators of existing determining text similarity
Method, cosine similarity algorithm, simhash algorithm etc.), calculate text information and entity that the attribute information of target video includes
The similarity between text information that attribute information includes is as matching result.
Optionally, the text information in attribute information may include the label for marking video.Above-mentioned executing subject can
According to existing various algorithm (such as the editing distances (Levenshtein Distance) for calculating the similarity between labels
Algorithm, COS distance algorithm based on vector space model (Vector Space Model, VSM) etc.), calculate target video pair
The text information and reality that similarity between the label answered label corresponding with entity includes as the attribute information of target video
The similarity between text information that the attribute information of body includes is as matching result.
Step 203, in response to determining that there are at least two matching entities, the attribute information based on matching entities generates message
And message generated is added in the message queue pre-established.
In the present embodiment, above-mentioned executing subject can there are at least two matchings are real in knowledge mapping in response to determining
Body, the attribute information based on matching entities generate message and message generated are added in the message queue pre-established.
Specifically, the attribute information of each matching entities can be encapsulated as meeting preset message team by above-mentioned executing subject
The message of the format of column system (such as Kafka system, RabbitMQ system etc.), alternatively, entity attributes packet enclosed tool is believed
Breath, and then above-mentioned executing subject can be from each sub-information that the attribute information of matching entities includes, extracting has certain special
The sub-information of sign as target sub-information (such as matching entities characterization video title, matching entities characterization video phase
Close the title etc. of personage), the target sub-information of extraction is encapsulated as to the message of preset format.Above-mentioned executing subject can be further
The message of generation is added in the message queue (message queue established in above-mentioned Message Queuing system) pre-established, mesh
Message can be received by the message queue by marking user.Wherein, target user can be with the message received in message queue
Permission user.
In practice, above-mentioned Message Queuing system may be configured to various modes, such as point-to- point communication mode, multiple spot are wide
Broadcast mode, publish/subscribe (Publish/Subscribe) mode etc..Above-mentioned executing subject can be by the category of multiple matching entities
Property information be directly added into message queue, by target user determine matching entities whether with target video have incidence relation, thus
The hardware resource that above-mentioned executing subject can be saved improves the efficiency of information processing.Also, it can be improved and disappear using message queue
Cease the accuracy of transmission.
Step 204, the operation associated instruction of self terminal is carried out in response to receiving, is target video and operation associated instruction pair
The matching entities answered establish incidence relation.
In the present embodiment, above-mentioned executing subject can carry out the operation associated instruction of self terminal in response to receiving, and be mesh
Mark video and the corresponding matching entities of operation associated instruction establish incidence relation.Wherein, operation associated instruction is by message team
The terminal that column receive message detect to the corresponding matching entities of received message and target video operation associated and give birth to
At.Specifically, above-mentioned terminal can be the terminal that above-mentioned target user uses, and target user can be in the terminal that it is used
It is associated operation.For example, target user can check received message, and judge the attribute of the corresponding matching entities of the message
Information whether with target video have incidence relation, if it is determined that have incidence relation, target user can by such as clicking,
Input order etc. modes execute it is operation associated, terminal detect it is operation associated after, generate operation associated instruction.
It should be noted that the attribute information of target video can be stored in advance in the terminal that target user uses, on
Stating executing subject can also be based on by above-mentioned message queue using the identical method of message corresponding with matching entities are generated
The attribute information of target video generates message, so that message is sent to the terminal that target user uses.
In the present embodiment, above-mentioned executing subject can be that target video and operation associated instruction are corresponded to according to various methods
Matching entities establish incidence relation.For example, the attribute information of target video may include for where characterizing target video
The link of address.The attribute information of the corresponding matching entities of operation associated instruction can be added in the link by above-mentioned executing subject
In, to establish the incidence relation of target video and the corresponding matching entities of operation associated instruction.
In some optional implementations of the present embodiment, above-mentioned executing subject can be regarded in accordance with the following steps for target
Frequency and the corresponding matching entities of operation associated instruction establish incidence relation:
Firstly, the attribute information of the attribute information of target video and the corresponding matching entities of operation associated instruction is merged into
New attribute information.As an example it is supposed that target video is A, it is operation associated to instruct corresponding matching entities for B.Wherein, A is used
Version is dubbed in the Chinese of characterization film " XXX ".The English that B is used to characterize film " XXX " dubs version.The attribute information of A includes electricity
Chinese, Introduction in Chinese, the Chinese of shadow " XXX " match the chained address of audio-video；The attribute information of B includes film " XXX "
English name, English brief introduction, chained address of the English with audio-video.Attribute information after then merging may include: film " XXX "
Chinese, Introduction in Chinese, Chinese match the chain of audio-video with the chained address of audio-video, English name, English brief introduction, English
It is grounded location.
For another example assuming the attribute information content having the same (for example including identical profile information) of A and B, then may be used
To retain one of them (such as wherein one for retaining two identical profile informations) in identical content.
Then, the attribute that obtained new attribute information is determined as the corresponding matching entities of operation associated instruction is believed
Breath.Incidence relation is established to establish target video and the corresponding matching entities of operation associated instruction.
In some optional implementations of the present embodiment, after step 202, above-mentioned executing subject can be in response to
It determines the matching entities to match there are one with target video in knowledge mapping, establishes the association of target video and matching entities
Relationship.Specifically, above-mentioned executing subject can be that target video and matching entities establish incidence relation according to various methods.Example
Such as, the attribute information of target video may include the link for characterizing the address where target video.Above-mentioned executing subject can
It is added in the attribute information of matching entities using the wherein attribute information by the link as matching entities, to establish target view
The incidence relation of frequency and matching entities.
In some optional implementations of the present embodiment, above-mentioned executing subject can establish target in accordance with the following steps
The incidence relation of video and matching entities:
Firstly, the attribute information of the attribute information of target video and matching entities to be merged into new attribute information.Wherein,
The method of merging attribute information in this implementation, with described in above-mentioned optional implementation, by the category of target video
Property information and the corresponding matching entities of operation associated instruction the method that merges of attribute information it is essentially identical, it is no longer superfluous here
It states.Then, obtained new attribute information is determined as to the attribute information of matching entities.
With continued reference to the signal that Fig. 3, Fig. 3 are according to the application scenarios of the method for handling information of the present embodiment
Figure.In the application scenarios of Fig. 3, server 301 obtains the attribute information for being stored in advance in local target video 302 first
3021.Wherein, target video 302 is for characterizing certain film " XXX ", the title etc. of video file, the film including the film
Information.Director's title of attribute information 3021 including film " XXX ", performer's title, brief introduction, show time, poster picture,
The information such as label.Then, server 301 is by the entity attributes information in attribute information 3021 and preset knowledge mapping 303
It is matched, obtains the corresponding matching result of each entity.Wherein, matching result is that the attribute information of corresponding video includes
The similarity between text information that text information and attribute information 3021 include.Subsequently, server 301 is from knowledge mapping
Two matching entities 3031,3032 are determined in 303, wherein the text envelope that the attribute information of matching entities 3031,3032 includes
Cease include with attribute information 3021 text information between similarity be more than or equal to preset similarity threshold (such as
90%).
Then, the attribute information of each matching entities is encapsulated as meeting preset Message Queuing system's (example by server 301
Such as Kafka system) format message 304 and 305, and will message 304 and 305 be added message queue 306 in.Target user makes
Terminal 307 receives message 304 and 305 by message queue 306, and parses message 304 and 305, and it is real to have obtained matching
The attribute information of body 3031,3032.Target user judges matching entities 3031 and mesh according to the attribute information of matching entities 3031
Marking video 302 has incidence relation, is then associated operation (such as clicking for characterizing the button for being associated operation), raw
At operation associated instruction 308.
Finally, server 301 receives operation associated instruction 308, by the category of attribute information 3021 and matching entities 3031
Property information merges into attribute information of the new attribute information 30311 as matching entities 3031, to establish target video 302
With the incidence relation of matching entities 3031.
The method provided by the above embodiment of the application, by being determined and target video phase from preset knowledge mapping
The matching entities matched, then determine the quantity of matching entities, if identified quantity is more than or equal to two, based on matching entities
Attribute information generates message and message generated is added in message queue, in response to receiving operation associated instruction, establishes
The incidence relation of target video and the corresponding matching entities of operation associated instruction.So as to utilize message queue, improves and establish
The efficiency and accuracy of the incidence relation of target video and matching entities.
With further reference to Fig. 4, it illustrates the processes 400 of another embodiment of the method for handling information.The use
In the process 400 of the method for processing information, comprising the following steps:
Step 401, the attribute information of target video is obtained.
In the present embodiment, step 401 and the step 201 in Fig. 2 corresponding embodiment are almost the same, and which is not described herein again.
Step 402, by the entity attributes of characterization video in the attribute information of target video and preset knowledge mapping
Information is matched, and is determined in knowledge mapping according to matching result with the presence or absence of the matching entities to match with target video.
In the present embodiment, step 402 and the step 202 in Fig. 2 corresponding embodiment are almost the same, and which is not described herein again.
Step 403, in response to determining that, there is no the matching entities to match with target video in knowledge mapping, generation is used for
Characterize the entity of target video.
In the present embodiment, it can be rung for handling the executing subject (such as server shown in FIG. 1) of the method for information
The reality for characterizing target video should be generated in determining in knowledge mapping there is no the matching entities to match with target video
Body.In the present embodiment, entity can be the identification information for characterizing video.The form of identification information may include with down toward
Few one kind: number, text, symbol etc..As an example, above-mentioned target video can have identification information, above-mentioned executing subject can
The identification information of target video to be determined as to be used to characterize the entity of target video.Alternatively, above-mentioned executing subject can use
Existing Encryption Algorithm (such as hash algorithm, Message Digest 5 etc.), encrypts the attribute information of target video, generates
Entity of the identification information of target video as characterization target video.
Step 404, the attribute information based on target video generates the entity attributes information of characterization target video, and will
Entity generated and entity attributes information generated are added in knowledge mapping.
In the present embodiment, above-mentioned executing subject can be generated based on the attribute information of target video for characterizing target view
The entity attributes information of frequency, and entity generated and entity attributes information generated are added in knowledge mapping.
Specifically, the attribute information of target video can be determined as entity attributes letter generated by above-mentioned executing subject
Breath；Alternatively, above-mentioned executing subject can be extracted from the attribute information of target video certain attribute informations (such as extract target view
The title of frequency, the related personal image information of target video, chained address of target video etc.), using the attribute information of extraction as table
Levy the entity attributes information of target video.
Figure 4, it is seen that the method for handling information compared with the corresponding embodiment of Fig. 2, in the present embodiment
Process 400 highlight and generate for characterizing the entity of target video and the entity and attribute of generation being added into knowledge mapping
The step of information.The scheme of the present embodiment description can enrich one's knowledge the quantity of the entity in map as a result, facilitate using knowing
Map is known to improve the comprehensive of the incidence relation between video.
With further reference to Fig. 5, as the realization to method shown in above-mentioned each figure, this application provides one kind for handling letter
One embodiment of the device of breath, the Installation practice is corresponding with embodiment of the method shown in Fig. 2, which can specifically answer
For in various electronic equipments.
As shown in figure 5, the present embodiment includes: acquiring unit 501 for handling the device 500 of information, it is configured to obtain
Take the attribute information of target video；Determination unit 502 is configured to the attribute information of target video and preset knowledge mapping
In, the entity attributes information of characterization video matched, determined according to matching result whether there is and mesh in knowledge mapping
The matching entities that mark video matches；First generation unit 503 is configured in response to determine that there are at least two matchings are real
Body, the attribute information based on matching entities generate message and message generated are added in the message queue pre-established, with
Message is set to be sent to the terminal that target user uses；First establishing unit 504 is configured in response to receive operation associated finger
It enables, establishes incidence relation for target video and the corresponding matching entities of operation associated instruction, wherein operation associated instruction is target
User receives message by message queue, and is associated operation to the corresponding matching entities of the received message of institute and target video
It generates.
In the present embodiment, acquiring unit 501 can by wired connection mode or radio connection from long-range or
From the local attribute information for obtaining target information.Wherein, target video can be the preassigned video of technical staff, either
The video being stored in a certain video collection.It should be appreciated that target video can be various types of videos, such as film, electricity
The small video etc. uploaded depending on acute, user.
The attribute information of target video can be information relevant to target video, can include but is not limited to it is following at least
It is a kind of: the relevant personage of target video (such as video production person, performer, director etc.) information, the relevant time (example of target video
Such as show time, shooting time) information, the relevant description information of target video (such as brief introduction, stage photo, poster picture etc.) etc.
Information.
In the present embodiment, the attribute information obtained based on acquiring unit 501, determination unit 502 can be first by target
The attribute information of video is matched in preset knowledge mapping, characterization video entity attributes information.Wherein, knowledge
Entity in map can be used for characterizing certain information (such as information of characterization personage, place, time, things etc.).In general, knowing
Knowing the entity in map can be used for characterizing certain things or concept (such as characterization personage, place, time, information etc.).Entity
Form may include following at least one: number, text, symbol etc..In the present embodiment, knowledge mapping may include being used for
The entity of video is characterized, as an example, pre-establishing can be " v-abc " for characterizing the entity of certain video, wherein " v "
The entity is indicated for characterizing video, " abc " is the mark for characterizing the video.In addition, the knowledge mapping of the present embodiment is also
May include the entity for characterizing other things in addition to video or concept, for example, pre-establish for characterizing certain personage
Entity can be " p-xyz ", wherein " p " indicates the entity for characterizing personage, and " xyz " is the mark for characterizing the personage
Know.
Entity attributes information for characterizing video can be information relevant to the video of entity characterization, may include
But it is not limited to following at least one: personage's (such as video production person, performer, director etc.) information relevant to video and video
Relevant time (such as show time, shooting time etc.) information, video source-information (such as video broadcast address, view
Web site name etc. where frequency) and other relevant to video content information (such as video profile, stage photo, poster picture
Deng) etc..In general, in knowledge mapping, the corresponding relationship of entity and attribute information can with the data structure of triple form come
It indicates, i.e., " entity-attribute-attribute value ", wherein entity attributes information may include above-mentioned attribute-attribute value.For example, certain
Triple can be " abc123- title-XXX ", wherein " abc123 " is the entity for characterizing film " XXX ", and " title " is
One attribute, " XXX " are attribute value.
Above-mentioned determination unit 502 can will be in the attribute information of target video and above-mentioned knowledge mapping according to various methods
, characterization video entity attributes information matched, obtain matching result.Wherein, the quantity of matching result can be more
A, each matching result corresponds to an entity in knowledge mapping.For example, the attribute information of entity and target video can wrap
Image is included, image can be the truncated picture from video, be also possible to the poster image etc. of video.Above-mentioned determination unit 502
It can be according to algorithm (such as Histogram distance algorithm, average hash algorithm, the perception of the similarity between existing determining image
Hash algorithm etc.), determine each entity attributes information in image and knowledge mapping that the attribute information of target video includes
Including image similarity as matching result.
Then, above-mentioned determination unit 502 can determine in knowledge mapping according to matching result whether there is and target video
The matching entities to match.Specifically, above-mentioned determination unit 502 can according to the type of matching result and it is preset, with
The corresponding threshold value of type with result determines in knowledge mapping with the presence or absence of matching entities.For example, when matching result is target
It, can be with when the similarity for the image that the entity attributes information in the image and knowledge mapping that the attribute information of video includes includes
The corresponding entity of similarity for the preset similarity threshold of image that will be greater than or equal to is determined as matching entities.
In the present embodiment, the first generation unit 503 can there are at least two matchings in knowledge mapping in response to determining
Entity, the attribute information based on matching entities generate message and message generated are added in the message queue pre-established,
So that message is sent to the terminal that target user uses.
Specifically, the attribute information of each matching entities can be encapsulated as meeting preset disappear by the first generation unit 503
The message for ceasing the format of queue system (such as Kafka system, RabbitMQ system etc.), alternatively, entity attributes information includes
Sub-information, and then above-mentioned first generation unit 503 can be extracted from each sub-information that the attribute information of matching entities includes
Sub-information with certain feature as target sub-information (such as matching entities characterization video title, matching entities characterization
Video related person title etc.), the target sub-information of extraction is encapsulated as to the message of preset format.First generation unit
Further the message queue pre-established, which can be added, in the message of generation by 503 (establishes in above-mentioned Message Queuing system
Message queue) in, target user can receive message by the message queue.Wherein, target user can be to have to receive and disappear
Cease the user of the permission of the message in queue.
In practice, above-mentioned Message Queuing system may be configured to various modes, such as point-to- point communication mode, multiple spot are wide
Broadcast mode, publish/subscribe (Publish/Subscribe) mode etc..First generation unit 503 can be by multiple matching entities
Attribute information is directly added into message queue, by target user determine matching entities whether with target video have incidence relation, from
And the hardware resource of above-mentioned apparatus 500 can be saved, improve the efficiency of information processing.Also, it can be improved using message queue
The accuracy of message transmission.
In the present embodiment, first establishing unit 504 can carry out the operation associated instruction of self terminal in response to receiving, and be
Target video and the corresponding matching entities of operation associated instruction establish incidence relation.Wherein, operation associated instruction is to pass through message
The terminal that queue receives message detect to the corresponding matching entities of received message and target video operation associated and
It generates.Specifically, above-mentioned terminal can be the terminal that above-mentioned target user uses, and target user can be in the terminal that it is used
Upper progress is operation associated.For example, target user can check received message, and judge the category of the corresponding matching entities of the message
Property information whether with target video there is incidence relation, if it is determined that having incidence relation, target user can pass through such as point
Hit, input order etc. modes execute it is operation associated, terminal detect it is operation associated after, generate operation associated instruction.
It should be noted that the attribute information of target video can be stored in advance in the terminal that target user uses, on
Stating first establishing unit 504 can also be by above-mentioned message queue, using the identical side of message corresponding with matching entities are generated
Method, the attribute information based on target video generates message, so that message is sent to the terminal that target user uses.
In the present embodiment, above-mentioned first establishing unit 504 can be target video and operation associated according to various methods
Corresponding matching entities are instructed to establish incidence relation.For example, the attribute information of target video may include for characterizing target view
The link of address where frequency.The corresponding matching of operation associated instruction can be added in the link by above-mentioned first establishing unit 504
In entity attributes information, to establish the incidence relation of target video and the corresponding matching entities of operation associated instruction.
In some optional implementations of the present embodiment, which can also include: the second generation unit (figure
In be not shown), be configured in response to determine in knowledge mapping that there is no the matching entities that match with target video, generate and use
In the entity of characterization target video；Third generation unit (not shown), is configured to the attribute information based on target video
The entity attributes information of characterization target video is generated, and entity generated and entity attributes information generated are added
Enter in knowledge mapping.
In some optional implementations of the present embodiment, device 500 can also include: second to establish unit (in figure
It is not shown), it is configured in response to determine the matching entities to match there are one with target video in knowledge mapping, establishes mesh
Mark the incidence relation of video and matching entities.
In some optional implementations of the present embodiment, second establish unit may include: the first merging module (figure
In be not shown), be configured to merging into the attribute information of the attribute information of target video and matching entities into new attribute information；
First determining module (not shown) is configured to for obtained new attribute information being determined as the attribute letter of matching entities
Breath.
In some optional implementations of the present embodiment, first establishing unit 504 may include: the second merging module
(not shown) is configured to the attribute letter of the attribute information of target video and the corresponding matching entities of operation associated instruction
Breath merges into new attribute information；Second determining module (not shown) is configured to obtained new attribute information
It is determined as the attribute information of the corresponding matching entities of operation associated instruction.
In some optional implementations of the present embodiment, attribute information includes text information；And determination unit 502
It can be further configured to: in the text information and knowledge mapping for including by the attribute information of target video, characterization video
Entity attributes information include text information carry out similarity calculation, will be greater than or equal to the similar of preset similarity threshold
It spends corresponding entity and is determined as the matching entities to match with target video.
The device provided by the above embodiment of the application, by being determined and target video phase from preset knowledge mapping
The matching entities matched, then determine the quantity of matching entities, if identified quantity is more than or equal to two, based on matching entities
Attribute information generates message and message generated is added in message queue, in response to receiving operation associated instruction, establishes
The incidence relation of target video and the corresponding matching entities of operation associated instruction.So as to utilize message queue, improves and establish
The efficiency and accuracy of the incidence relation of target video and matching entities.
Below with reference to Fig. 6, it illustrates the computer systems 600 for the server for being suitable for being used to realize the embodiment of the present application
Structural schematic diagram.Server shown in Fig. 6 is only an example, should not function and use scope band to the embodiment of the present application
Carry out any restrictions.
As shown in fig. 6, computer system 600 includes central processing unit (CPU) 601, it can be read-only according to being stored in
Program in memory (ROM) 602 or be loaded into the program in random access storage device (RAM) 603 from storage section 608 and
Execute various movements appropriate and processing.In RAM 603, also it is stored with system 600 and operates required various programs and data.
CPU 601, ROM 602 and RAM 603 are connected with each other by bus 604.Input/output (I/O) interface 605 is also connected to always
Line 604.
I/O interface 605 is connected to lower component: the importation 606 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 607 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section 608 including hard disk etc.；
And the communications portion 609 of the network interface card including LAN card, modem etc..Communications portion 609 via such as because
The network of spy's net executes communication process.Driver 610 is also connected to I/O interface 605 as needed.Detachable media 611, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 610, in order to read from thereon
Computer program be mounted into storage section 608 as needed.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed from network by communications portion 609, and/or from detachable media
611 are mounted.When the computer program is executed by central processing unit (CPU) 601, limited in execution the present processes
Above-mentioned function.
It should be noted that computer-readable medium described herein can be computer-readable signal media or meter
Calculation machine readable medium either the two any combination.Computer-readable medium for example may be-but not limited to-
Electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.It is computer-readable
The more specific example of medium can include but is not limited to: have electrical connection, the portable computer magnetic of one or more conducting wires
Disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or sudden strain of a muscle
Deposit), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned appoint
The suitable combination of meaning.In this application, computer-readable medium can be any tangible medium for including or store program, the journey
Sequence can be commanded execution system, device or device use or in connection.And in this application, it is computer-readable
Signal media may include in a base band or as carrier wave a part propagate data-signal, wherein carrying computer can
The program code of reading.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal, optical signal or
Above-mentioned any appropriate combination.Computer-readable signal media can also be any calculating other than computer-readable medium
Machine readable medium, the computer-readable medium can be sent, propagated or transmitted for by instruction execution system, device or device
Part uses or program in connection.The program code for including on computer-readable medium can use any Jie appropriate
Matter transmission, including but not limited to: wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The calculating of the operation for executing the application can be write with one or more programming languages or combinations thereof
Machine program code, described program design language include object oriented program language-such as Java, Smalltalk, C+
+, it further include conventional procedural programming language-such as " C " language or similar programming language.Program code can
Fully to execute, partly execute on the user computer on the user computer, be executed as an independent software package,
Part executes on the remote computer or executes on a remote computer or server completely on the user computer for part.
In situations involving remote computers, remote computer can pass through the network of any kind --- including local area network (LAN)
Or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize Internet service
Provider is connected by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the application, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit also can be set in the processor, for example, can be described as: a kind of processor packet
Include acquiring unit, determination unit, the first generation and first establishing unit.Wherein, the title of these units is under certain conditions simultaneously
The restriction to the unit itself is not constituted, for example, acquiring unit is also described as " obtaining the attribute information of target video
Unit ".
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be
Included in server described in above-described embodiment；It is also possible to individualism, and without in the supplying server.It is above-mentioned
Computer-readable medium carries one or more program, when said one or multiple programs are executed by the server,
So that the server: obtaining the attribute information of target video；By it is in the attribute information of target video and preset knowledge mapping,
The entity attributes information of characterization video is matched, and determined according to matching result whether there is and target video in knowledge mapping
The matching entities to match；In response to determining that there are at least two matching entities, the attribute information generation based on matching entities disappears
In breath and the message queue for pre-establishing message generated addition；Carry out the operation associated finger of self terminal in response to receiving
It enables, establishes incidence relation for target video and the corresponding matching entities of operation associated instruction, wherein operation associated instruction is to pass through
The terminal that message queue receives message detect to the corresponding matching entities of received message and target video be associated with behaviour
Make and generate.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from foregoing invention design, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (14)
1. a kind of method for handling information, comprising:
Obtain the attribute information of target video；
In the attribute information of the target video and preset knowledge mapping, characterization video entity attributes information is carried out
Matching determines in the knowledge mapping according to matching result with the presence or absence of the matching entities to match with the target video；
In response to determining that there are at least two matching entities, the attribute information based on matching entities generates message and will be generated
Message is added in the message queue pre-established；
Carry out the operation associated instruction of self terminal in response to receiving, is that the target video and the operation associated instruction are corresponding
Matching entities establish incidence relation, wherein the operation associated instruction is the terminal that message is received by the message queue
Detect to the corresponding matching entities of received message and the target video operation associated and generate.
2. according to the method described in claim 1, wherein, determining in the knowledge mapping whether deposit according to matching result described
After the matching entities to match with the target video, the method also includes:
In response to there is no the matching entities to match with the target video in the determination knowledge mapping, generate for characterizing
The entity of the target video；
Attribute information based on the target video generates the entity attributes information for characterizing the target video, and will give birth to
At entity and entity attributes information generated be added in the knowledge mapping.
3. according to the method described in claim 1, wherein, determining in the knowledge mapping whether deposit according to matching result described
After the matching entities to match with the target video, the method also includes:
In response to the matching entities to match there are one with the target video in the determination knowledge mapping, the mesh is established
Mark the incidence relation of video and matching entities.
4. according to the method described in claim 3, wherein, the incidence relation for establishing the target video and matching entities,
Include:
The attribute information of the attribute information of the target video and matching entities is merged into new attribute information；
Obtained new attribute information is determined as to the attribute information of matching entities.
5. according to the method described in claim 1, wherein, described is that the target video and the operation associated instruction are corresponding
Matching entities establish incidence relation, comprising:
The attribute information of the attribute information of the target video and the corresponding matching entities of the operation associated instruction is merged into
New attribute information；
Obtained new attribute information is determined as to the attribute information of the corresponding matching entities of the operation associated instruction.
6. method described in one of -5 according to claim 1, wherein attribute information includes text information；And
In the attribute information by the target video and preset knowledge mapping, characterization video entity attributes information
It is matched, is determined according to matching result real with the presence or absence of the matching to match with the target video in the knowledge mapping
Body, comprising:
In the text information and the knowledge mapping that attribute information by the target video includes, characterization video entity
The text information that attribute information includes carries out similarity calculation, and the similarity for the preset similarity threshold that will be greater than or equal to is corresponding
Entity is determined as the matching entities to match with the target video.
7. a kind of for handling the device of information, comprising:
Acquiring unit is configured to obtain the attribute information of target video；
Determination unit, being configured to will be in the attribute information of the target video and preset knowledge mapping, characterization video
Entity attributes information is matched, and being determined in the knowledge mapping according to matching result whether there is and the target video phase
Matched matching entities；
First generation unit, is configured in response to determine that there are at least two matching entities, the attribute letter based on matching entities
Breath generates message and message generated is added in the message queue pre-established；
First establishing unit is configured in response to receive the operation associated instruction of self terminal, be the target video and
The corresponding matching entities of the operation associated instruction establish incidence relation, wherein the operation associated instruction is disappeared by described
Terminal that breath queue receives message detect to the corresponding matching entities of received message and the target video be associated with
Operation and generate.
8. device according to claim 7, wherein described device further include:
Second generation unit is configured in response to determine in the knowledge mapping that there is no match with the target video
Matching entities generate the entity for characterizing the target video；
Third generation unit is configured to the attribute information based on the target video and generates the entity for characterizing the target video
Attribute information, and entity generated and entity attributes information generated are added in the knowledge mapping.
9. device according to claim 7, wherein described device further include:
Second establishes unit, is configured in response to determine in the knowledge mapping and matches there are one with the target video
Matching entities, establish the incidence relation of the target video and matching entities.
10. device according to claim 9, wherein described second, which establishes unit, includes:
First merging module is configured to merge into the attribute information of the attribute information of the target video and matching entities newly
Attribute information；
First determining module is configured to for obtained new attribute information being determined as the attribute information of matching entities.
11. device according to claim 7, wherein the first establishing unit includes:
Second merging module is configured to the attribute information of the target video and the corresponding matching of the operation associated instruction
Entity attributes information merges into new attribute information；
Second determining module is configured to for obtained new attribute information being determined as operation associated corresponding of the instruction
With entity attributes information.
12. the device according to one of claim 7-11, wherein attribute information includes text information；And
The determination unit is further configured to:
In the text information and the knowledge mapping that attribute information by the target video includes, characterization video entity
The text information that attribute information includes carries out similarity calculation, and the similarity for the preset similarity threshold that will be greater than or equal to is corresponding
Entity is determined as the matching entities to match with the target video.
13. a kind of server, comprising:
One or more processors；
Storage device is stored thereon with one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
Now such as method as claimed in any one of claims 1 to 6.
14. a kind of computer-readable medium, is stored thereon with computer program, wherein the realization when program is executed by processor
Such as method as claimed in any one of claims 1 to 6.
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