CN105022795B - A kind of new media cloud distribution platform and its implementation towards big data - Google Patents

A kind of new media cloud distribution platform and its implementation towards big data Download PDF

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CN105022795B
CN105022795B CN201510371097.1A CN201510371097A CN105022795B CN 105022795 B CN105022795 B CN 105022795B CN 201510371097 A CN201510371097 A CN 201510371097A CN 105022795 B CN105022795 B CN 105022795B
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information
module
data
terminal
display screen
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CN105022795A (en
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陈苏
刘晓云
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Chengdu Lan Ma Development In Science And Technology Co Ltd
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Chengdu Lan Ma Development In Science And Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques

Abstract

The invention discloses a kind of new media cloud distribution platforms and its implementation towards big data, and terminal and information release terminal are sent including Cloud Server, information;The Cloud Server includes data acquisition module, media content auditing module, media content release management module, broadcasting control management module, information release terminal grouping module and data memory module;The media content auditing module includes auditing the text information auditing module of the text information uploaded, the stream media information auditing module for auditing the stream media information uploaded, the pictorial information auditing module for auditing the pictorial information uploaded;The text information auditing module includes information extraction modules, information filtering module, information sort module.The issue of the cloud of data mining and new media is combined by the present invention, ensures the legitimacy and compliance of data, while ensures the accuracy of data examination & verification.

Description

A kind of new media cloud distribution platform and its implementation towards big data
Technical field
The present invention relates to a kind of new media cloud distribution platforms and its implementation towards big data.
Background technology
New media(NewMedia)It is an opposite concept, is that the traditional media such as newpapers and periodicals, broadcast, TV develop later The new media modalities come, including the network media, mobile media, DTV etc..New media is also a wide in range concept, profit With digital technology, network technology, pass through the channels such as internet, broadband LAN, wireless communication networks, satellite and computer, hand The terminals such as machine, digital television provide a user the communication form of information and entertainment service.Strictly speaking, new media should claim To digitize new media.
Cater to the demand of people's amusement and recreation time fragmentation.Due to work and the accelerating rhythm of life, the leisure of people Time shows fragmentation tendency, and new media is exactly to have catered to this demand and life.Satisfaction interactive expression whenever and wherever possible, Amusement is needed with information.Third generation media using internet as mark move towards Individuality expression with exchanging rank in terms of the demand of propagation Section.For Web TV and mobile TV, consumer is also the producer simultaneously.Purpose and choosing of the people using new media The initiative selected is stronger.Media use and content selection more personalized, cause the market segments more abundant.
However most of existing new media distribution platform can not upload user there is no being attached with cloud Content is audited, and even if with audit function also not using data mining technology, has the problem of examination & verification dynamics is inadequate.
The content of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of new media cloud issue towards big data is flat Platform and its implementation.
The purpose of the present invention is what is be achieved through the following technical solutions:A kind of new media cloud issue towards big data is flat Platform, it includes Cloud Server, information sends terminal and information release terminal;
The Cloud Server include data acquisition module, media content auditing module, media content release management module, Play control management module, information release terminal grouping module and data memory module;
The data acquisition module includes local collecting unit, remote collection unit and Proprietary Information collecting unit;Institute The local collecting unit stated provides local interface and data inputting is carried out to the content file of different storaging mediums, and described remotely adopts Collect unit to be used to send information the data progress data inputting that terminal is sent, the Proprietary Information collecting unit passes through interconnection Net acquisition Proprietary Information;
The media content auditing module includes auditing the text information auditing module of the text information uploaded, use Stream media information auditing module in the stream media information that examination & verification uploads is examined for auditing the pictorial information of pictorial information uploaded Core module;
The data memory module includes examination & verification and completes data storage cell, key data library unit and basic data Library unit;The examination & verification completes data storage cell and completes and audit the data passed through for storing to audit;The pass Key numerical data base unit is used to store the keyword in word review process;The basic data library unit is used to store word Similarity-rough set data in review process;
The text information auditing module includes information extraction modules, information filtering module, information sort module, described Information sort module include similarity calculated and result taxon;The output terminal and letter of the data receiving terminal Cease extraction module connection, the output terminal of information extraction modules is connected with information filtering module, the output terminal of information filtering module and Similarity calculated connects, and the output terminal of similarity calculated is connected with result taxon;The key data Library unit is connected with information filtering module, and the basic data library unit is connected with similarity calculated;
The stream media information auditing module and pictorial information auditing module include an audit terminal;
The media content release management module is for managing the file sent to information release terminal, including checking There are the locally stored file of information release terminal, management file to send and check transmission progress msg;
The information release terminal grouping module is used to carry out group division to information release terminal;
The broadcasting control management module includes programme edit cell, programme error detection units, programme and leads Go out unit and programme display unit, program and fixation of the programme edit cell for the fixed section orders period that is ranked Other programs between program time-interval are edited, the program while realizing stream media information, pictorial information and text information Single error detection units are used to detect the mistake of programme time conflict, and the programme lead-out unit is used to issue to information Terminal issues programme, and the programme display unit is used to show the programme information of all information release terminals.
A kind of new media cloud distribution platform towards big data further includes a log management module.
The local collecting unit carries out data inputting by CD, video-tape, hard disk;The remote collection unit The information that the information and remote computer sent by mobile phone is sent carries out data inputting;The Proprietary Information collecting unit passes through Internet acquisition traffic, weather and stock market information.
Information extraction modules, information filtering module and the information sort module carries out data by the way of assembly line Processing.
The information release terminal includes network module, microprocessor, display screen, memory, the sound with network connection Frequency module;The display screen includes the first display screen, second display screen and the 3rd display screen;The network module and Wei Chu Device connection is managed, the audio output of microprocessor is connected with audio-frequency module, and microprocessor is also shown with memory, first respectively Screen, second display screen and the connection of the 3rd display screen;First display screen is LCD screen, and the second display screen is and the The identical LED screen of one display screen area shape, the second display screen and the first display screen are arranged in parallel, and described Three display screens are to be arranged at the first display screen, the barcode LED screen of second display screen either above or below;First display Screen, second display screen and the 3rd display screen are respectively used to display pictorial information, stream media information and text information.
A kind of implementation method of new media cloud distribution platform towards big data includes data acquisition and examination & verification step, information Issue terminal is grouped step and information release terminal information issue step;
The data acquisition includes following sub-step with examination & verification step:
S11:Information sends terminal upload data information, including text information, pictorial information and stream media information;
S12:Cloud Server audits upload information, including text information examination & verification, pictorial information examination & verification and stream matchmaker Body signal auditing;The text information examination & verification includes following sub-step:
S121:Information extraction modules carry out keyword extraction, the keyword extraction to the information of data receiving terminal Quantity according to default conditional decision, including following sub-step:
S1211:Word segmentation processing is carried out to information, calculates word frequency of each word compared with described information;
S1212:Calculate reverse document-frequency of each word compared with the data in basic data library unit, log(A/ B);In formula, A is the sum of data in basic Database Unit, and B is time that each word occurs in basic data library unit Number;
S1213:Word frequency with reverse document-frequency is multiplied, obtains keyword frequency;
S1214:According to the quantity of default keyword extraction, multiple keywords are selected;
S122:Information filtering module is filtered keyword processing:By making with the data of key data library unit Compare, the information containing illegal keyword is rejected;
S123:The information for completing filtration treatment is carried out similarity with basic data library unit to compare, including following sub-step Suddenly:
S1231:The keyword extracted is merged into a set, calculates the data in basic data library unit for institute The word frequency of word in the set stated;
S1232:Generate the word frequency vector of described information and the data in basic data library unit;
S1233:Calculate the cosine of the word frequency vector and the word frequency vector of the data in basic data library unit of described information Similarity;
S124:As a result taxon judges whether one of cosine similarity maximum be more than threshold value:
(1)If more than threshold value, then select cosine similarity being more than threshold value and maximum one or more, as a result The result output of classification enters step S13;
(2)If less than threshold value, artificial judgment is carried out, if the result classified as a result:If the judgment is Yes, then will As a result output enters step S13, and information feeding basic data library unit is stored;
S13:By audit complete and by data information memory to data memory module examination & verification complete data store In unit;
The information release terminal grouping step includes following sub-step:Information release terminal grouping module is according to region Operation is grouped to information release terminal;
The information release terminal information issue includes following sub-step:
S21:The programme edit cell of control management module is played to the programme of information release terminal into edlin;
S22:The programme lead-out unit for playing control management module issues program to the information release terminal in grouping It is single;
S23:Media content release management module checks the locally stored file of information release terminal, to information release terminal There is no file in the programme for sending and issuing;
S24:Information release terminal issues program according to the order of programme.
The step S121 does not calculate the frequency that should delete word in the sub-step for calculating keyword frequency.
The basic data library unit includes newly-increased subelement and general subelement, and the data acquisition is walked with examination & verification Suddenly a database purchase step S125 is further included:After filtering and classification is completed, the information being collected into is stored to basis Stored in the newly-increased subelement of Database Unit, according to demand select after information whether keyword extraction is compared with similarity Whether the data in newly-increased subelement are included:If selection includes, the data in newly-increased subelement are put into basic database list It is preserved in the general subelement of member;Otherwise selection is deleted or retained.
The beneficial effects of the invention are as follows:
The present invention handles the data collected feeding Cloud Server, and data mining is used for word examination & verification part Method:Information is extracted according to already existing keyword blacklist in Cloud Server, according to existing in Cloud Server Basic information, that is, big data carries out keyword extraction and sort operation, ensures that data processing is accurate and data processing high safety Property;And supplement judgement is carried out to the data that machine can not judge using the method for manual analysis, has and judges high reliability;Together When, new data can also be stored in existing database by the present invention, when there is new vocabulary to occur, avoid judging by accident;Pass through flowing water The parallelization mode of line processing, improves processing speed, preserves data after examination & verification.It is rear to information release terminal send Programme and data message is issued, precise and high efficiency.
The issue of the cloud of data mining and new media is combined by the present invention, ensures the legitimacy and compliance of data, together When ensure data examination & verification accuracy.
Description of the drawings
Fig. 1 is block diagram of the present invention;
Fig. 2 is text information auditing module block diagram;
Fig. 3 is the method for the present invention flow chart.
Specific embodiment
Technical scheme is described in further detail below in conjunction with the accompanying drawings:It is as shown in Figure 1, a kind of towards big data New media cloud distribution platform, it includes Cloud Server, information sends terminal and information release terminal;
The Cloud Server include data acquisition module, media content auditing module, media content release management module, Play control management module, information release terminal grouping module and data memory module;
The data acquisition module includes local collecting unit, remote collection unit and Proprietary Information collecting unit;Institute The local collecting unit stated provides local interface and data inputting is carried out to the content file of different storaging mediums, and described remotely adopts Collect unit to be used to send information the data progress data inputting that terminal is sent, the Proprietary Information collecting unit passes through interconnection Net acquisition Proprietary Information;
The media content auditing module includes auditing the text information auditing module of the text information uploaded, use Stream media information auditing module in the stream media information that examination & verification uploads is examined for auditing the pictorial information of pictorial information uploaded Core module;
The data memory module includes examination & verification and completes data storage cell, key data library unit and basic data Library unit;The examination & verification completes data storage cell and completes and audit the data passed through for storing to audit;The pass Key numerical data base unit is used to store the keyword in word review process;The basic data library unit is used to store word Similarity-rough set data in review process;
The text information auditing module includes information extraction modules, information filtering module, information sort module, described Information sort module include similarity calculated and result taxon;The output terminal and letter of the data receiving terminal Cease extraction module connection, the output terminal of information extraction modules is connected with information filtering module, the output terminal of information filtering module and Similarity calculated connects, and the output terminal of similarity calculated is connected with result taxon;The key data Library unit is connected with information filtering module, and the basic data library unit is connected with similarity calculated;
The stream media information auditing module and pictorial information auditing module include an audit terminal;
The media content release management module is for managing the file sent to information release terminal, including checking There are the locally stored file of information release terminal, management file to send and check transmission progress msg;
The information release terminal grouping module is used to carry out group division to information release terminal;
The broadcasting control management module includes programme edit cell, programme error detection units, programme and leads Go out unit and programme display unit, program and fixation of the programme edit cell for the fixed section orders period that is ranked Other programs between program time-interval are edited, the program while realizing stream media information, pictorial information and text information Single error detection units are used to detect the mistake of programme time conflict, and the programme lead-out unit is used to issue to information Terminal issues programme, and the programme display unit is used to show the programme information of all information release terminals.
A kind of new media cloud distribution platform towards big data further includes a log management module.
The local collecting unit carries out data inputting by CD, video-tape, hard disk;The remote collection unit The information that the information and remote computer sent by mobile phone is sent carries out data inputting;The Proprietary Information collecting unit passes through Internet acquisition traffic, weather and stock market information.
Information extraction modules, information filtering module and the information sort module carries out data by the way of assembly line Processing.
The information release terminal includes network module, microprocessor, display screen, memory, the sound with network connection Frequency module;The display screen includes the first display screen, second display screen and the 3rd display screen;The network module and Wei Chu Device connection is managed, the audio output of microprocessor is connected with audio-frequency module, and microprocessor is also shown with memory, first respectively Screen, second display screen and the connection of the 3rd display screen;First display screen is LCD screen, and the second display screen is and the The identical LED screen of one display screen area shape, the second display screen and the first display screen are arranged in parallel, and described Three display screens are to be arranged at the first display screen, the barcode LED screen of second display screen either above or below;First display Screen, second display screen and the 3rd display screen are respectively used to display pictorial information, stream media information and text information.
As shown in Fig. 2, a kind of implementation method of new media cloud distribution platform towards big data includes data acquisition with examining Core step, information release terminal grouping step and information release terminal information issue step;
The data acquisition includes following sub-step with examination & verification step:
S11:Information sends terminal upload data information, including text information, pictorial information and stream media information;
S12:Cloud Server audits upload information, including text information examination & verification, pictorial information examination & verification and stream matchmaker Body signal auditing;The text information examination & verification includes following sub-step:
S121:Information extraction modules carry out keyword extraction, the keyword extraction to the information of data receiving terminal Quantity according to default conditional decision, including following sub-step:
S1211:Word segmentation processing is carried out to information, calculates word frequency of each word compared with described information;
S1212:Calculate reverse document-frequency of each word compared with the data in basic data library unit, log(A/ B);In formula, A is the sum of data in basic Database Unit, and B is time that each word occurs in basic data library unit Number;
S1213:Word frequency with reverse document-frequency is multiplied, obtains keyword frequency;
S1214:According to the quantity of default keyword extraction, multiple keywords are selected;
S122:Information filtering module is filtered keyword processing:By making with the data of key data library unit Compare, the information containing illegal keyword is rejected;
S123:The information for completing filtration treatment is carried out similarity with basic data library unit to compare, including following sub-step Suddenly:
S1231:The keyword extracted is merged into a set, calculates the data in basic data library unit for institute The word frequency of word in the set stated;
S1232:Generate the word frequency vector of described information and the data in basic data library unit;
S1233:Calculate the cosine of the word frequency vector and the word frequency vector of the data in basic data library unit of described information Similarity;
S124:As a result taxon judges whether one of cosine similarity maximum be more than threshold value:
(1)If more than threshold value, then select cosine similarity being more than threshold value and maximum one or more, as a result The result output of classification enters step S13;
(2)If less than threshold value, artificial judgment is carried out, if the result classified as a result:If the judgment is Yes, then will As a result output enters step S13, and information feeding basic data library unit is stored;
S13:By audit complete and by data information memory to data memory module examination & verification complete data store In unit;
The information release terminal grouping step includes following sub-step:Information release terminal grouping module is according to region Operation is grouped to information release terminal;
The information release terminal information issue includes following sub-step:
S21:The programme edit cell of control management module is played to the programme of information release terminal into edlin;
S22:The programme lead-out unit for playing control management module issues program to the information release terminal in grouping It is single;
S23:Media content release management module checks the locally stored file of information release terminal, to information release terminal There is no file in the programme for sending and issuing;
S24:Information release terminal issues program according to the order of programme.
The step S121 does not calculate the frequency that should delete word in the sub-step for calculating keyword frequency.
The basic data library unit includes newly-increased subelement and general subelement, and the data acquisition is walked with examination & verification Suddenly a database purchase step S125 is further included:After filtering and classification is completed, the information being collected into is stored to basis Stored in the newly-increased subelement of Database Unit, according to demand select after information whether keyword extraction is compared with similarity Whether the data in newly-increased subelement are included:If selection includes, the data in newly-increased subelement are put into basic database list It is preserved in the general subelement of member;Otherwise selection is deleted or retained.

Claims (7)

1. a kind of new media cloud distribution platform towards big data, it is characterised in that:It includes Cloud Server, information sends terminal And information release terminal;
The Cloud Server includes data acquisition module, media content auditing module, media content release management module, broadcasting Control management module, information release terminal grouping module and data memory module;
The data acquisition module includes local collecting unit, remote collection unit and Proprietary Information collecting unit;Described Local collecting unit provides local interface and carries out data inputting, the remote collection list to the content file of different storaging mediums Member is used to send information the data progress data inputting that terminal is sent, and the Proprietary Information collecting unit is adopted by internet Collect Proprietary Information;
The media content auditing module includes auditing the text information auditing module of the text information uploaded, for examining The stream media information auditing module for the stream media information that core uploads audits mould for auditing the pictorial information of the pictorial information uploaded Block;
The data memory module includes examination & verification and completes data storage cell, key data library unit and basic database list Member;The examination & verification completes data storage cell and completes and audit the data passed through for storing to audit;The keyword Database Unit is used to store the keyword in word review process;The basic data library unit is audited for storing word Similarity-rough set data in the process;
The text information auditing module includes information extraction modules, information filtering module, information sort module, the letter Ceasing sort module includes similarity calculated and result taxon;The output terminal of the data receiving terminal is carried with information Modulus block connects, and the output terminal of information extraction modules is connected with information filtering module, the output terminal of information filtering module to it is similar Computing unit connection is spent, the output terminal of similarity calculated is connected with result taxon;The keyword database list Member is connected with information filtering module, and the basic data library unit is connected with similarity calculated;
The stream media information auditing module and pictorial information auditing module include an audit terminal;
The media content release management module is for managing the file sent to information release terminal, including checking all letters Cease the locally stored file of issue terminal, management file sends and check transmission progress msg;
The information release terminal grouping module is used to carry out group division to information release terminal;
The broadcasting control management module includes programme edit cell, programme error detection units, programme export list Member and programme display unit, the programme edit cell are used for the be ranked program and fixed section orders of fixed section orders period Other programs between period are edited while realizing stream media information, pictorial information and text information, and the programme is wrong Error detection unit is used to detect the mistake of programme time conflict, and the programme lead-out unit is used for information release terminal Programme is issued, the programme display unit is used to show the programme information of all information release terminals.
2. a kind of new media cloud distribution platform towards big data according to claim 1, it is characterised in that:Further include one A log management module, the log management module are applied to record operation log and system log;The operation log For recording all operations of operator, the system log records the operating condition of system.
3. a kind of new media cloud distribution platform towards big data according to claim 1, it is characterised in that:The sheet Ground collecting unit carries out data inputting by CD, video-tape, hard disk;The letter that the remote collection unit is sent by mobile phone The information that breath and remote computer are sent carries out data inputting;The Proprietary Information collecting unit by internet gather traffic, Weather and stock market information.
4. a kind of new media cloud distribution platform towards big data according to claim 1, it is characterised in that:The letter Breath extraction module, information filtering module and information sort module carry out data processing by the way of assembly line.
5. a kind of new media cloud distribution platform towards big data according to claim 1, it is characterised in that:The letter Ceasing issue terminal includes network module, microprocessor, display screen, memory, the audio-frequency module with network connection;The display Screen includes the first display screen, second display screen and the 3rd display screen;The network module is connected with microprocessor, microprocessor Audio output be connected with audio-frequency module, microprocessor also respectively with memory, the first display screen, second display screen and the 3rd Display screen connects;First display screen is LCD screen, and the second display screen is and the first display screen area shape Identical LED screen, the second display screen and the first display screen are arranged in parallel, and the 3rd display screen is to be arranged at first The barcode LED screen of display screen, second display screen either above or below;First display screen, second display screen and the 3rd are aobvious Display screen is respectively used to display pictorial information, stream media information and text information.
6. a kind of realization side of new media cloud distribution platform towards big data as described in any one in claim 1 ~ 5 Method, it is characterised in that:It is sent out including data acquisition and examination & verification step, information release terminal grouping step and information release terminal information Cloth step;
The data acquisition includes following sub-step with examination & verification step:
S11:Information sends terminal upload data information, including text information, pictorial information and stream media information;
S12:Cloud Server audits upload information, including text information examination & verification, pictorial information examination & verification and Streaming Media letter Breath examination & verification;The text information examination & verification includes following sub-step:
S121:Information extraction modules carry out keyword extraction, the number of the keyword extraction to the information of data receiving terminal Amount is according to default conditional decision, including following sub-step:
S1211:Word segmentation processing is carried out to information, calculates word frequency of each word compared with described information;
S1212:Calculate reverse document-frequency of each word compared with the data in basic data library unit, log(A/B);Formula In, A is the sum of data in basic Database Unit, and B is the number that each word occurs in basic data library unit;
S1213:Word frequency with reverse document-frequency is multiplied, obtains keyword frequency;
S1214:According to the quantity of default keyword extraction, multiple keywords are selected;
S122:Information filtering module is filtered keyword processing:By making comparisons with the data of key data library unit, Information containing illegal keyword is rejected;
S123:The information for completing filtration treatment is carried out similarity with basic data library unit to compare, including following sub-step:
S1231:The keyword extracted is merged into a set, calculates the data in basic data library unit for described The word frequency of word in set;
S1232:Generate the word frequency vector of described information and the data in basic data library unit;
S1233:The word frequency vector for calculating described information is similar to the cosine of the word frequency vector of the data in basic data library unit Degree;
S124:As a result taxon judges whether the one or more of cosine similarity maximum are more than threshold value:
(1)It if more than threshold value, then selects cosine similarity being more than threshold value and maximum one or more, classifies as a result Result output enter step S13;
(2)If less than threshold value, artificial judgment is carried out, if the result classified as a result:If the judgment is Yes, then by result Output enters step S13, and information feeding basic data library unit is stored;
S13:By audit complete and by data information memory to data memory module examination & verification complete data storage cell In;
The information release terminal grouping step includes following sub-step:Information release terminal grouping module is according to region to letter Breath issue terminal is grouped operation;
The information release terminal information issue includes following sub-step:
S21:The programme edit cell of control management module is played to the programme of information release terminal into edlin;
S22:The programme lead-out unit for playing control management module issues programme to the information release terminal in grouping;
S23:Media content release management module checks the locally stored file of information release terminal, is sent to information release terminal With the file not having in the programme that issues;
S24:Information release terminal issues program according to the order of programme.
7. a kind of implementation method of new media cloud distribution platform towards big data according to claim 6, feature exist In:The step S121 does not calculate the frequency that should delete word in the sub-step for calculating keyword frequency.
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