CN105022795A - Big data-orientated new media cloud releasing platform and implementation method therefor - Google Patents

Big data-orientated new media cloud releasing platform and implementation method therefor Download PDF

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CN105022795A
CN105022795A CN201510371097.1A CN201510371097A CN105022795A CN 105022795 A CN105022795 A CN 105022795A CN 201510371097 A CN201510371097 A CN 201510371097A CN 105022795 A CN105022795 A CN 105022795A
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information
data
module
word
display screen
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CN105022795B (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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    • 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
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    • G06F16/951Indexing; Web crawling techniques

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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a big data-orientated new media cloud releasing platform and an implementation method therefor. The platform comprises a cloud server, an information sending terminal and an information releasing terminal; the cloud server comprises a data collection module, a media content auditing module, a media content releasing management module, a play control management module, an information releasing terminal grouping module and a data storage module; the media content auditing module comprises a text information auditing module for auditing uploaded text information, a stream media information auditing module for auditing uploaded stream media information and a picture information auditing module for auditing uploaded picture information; and the text information auditing module comprises an information extracting module, an information filtering module and an information classifying module. The big data-orientated new media cloud releasing platform combines data mining with new media cloud releasing to ensure data validity and compliance as well as data auditing accuracy.

Description

A kind of new media cloud distribution platform towards large data and its implementation
Technical field
The present invention relates to a kind of new media cloud distribution platform towards large data and its implementation.
Background technology
New media (NewMedia) is a relative concept, be newpapers and periodicals, broadcast, the new media modalities that grows up after the traditional media such as TV, comprise the network media, mobile media, Digital Television etc.New media is also a wide in range concept, utilize digital technology, network technology, by channels such as internet, broadband LAN, wireless communication networks, satellites, and the terminal such as computer, mobile phone, digital television, the communication form of information and entertainment service is provided to user.Strictly speaking, new media should be called digitizing new media.
Cater to the demand of people's amusement and recreation time fragmentation.Due to work and the quickening of rhythm of life, the leisure time of people presents fragmentation tendency, and new media has catered to this demand just and given birth to.Meet interactive expression whenever and wherever possible, amusement and information needs.Be that the third generation media indicated move towards Individuality expression and exchange the stage in the demand of propagating with internet.For Web TV and mobile TV, consumer is also the producer simultaneously.People use the initiative of the purpose of new media and selection stronger.Media use and content choice more personalized, cause the market segments more abundant.
But existing new media distribution platform great majority are not connected with cloud, cannot audit, even if having audit function do not adopt data mining technology, have the problem that examination & verification dynamics is inadequate yet to the content that user uploads.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of new media cloud distribution platform towards large data and its implementation are provided.
The object of the invention is to be achieved through the following technical solutions: a kind of new media cloud distribution platform towards large data, it comprises Cloud Server, information transmitting terminal and information release terminal;
Described Cloud Server comprises data acquisition module, media content auditing module, media content release management module, Play Control administration module, information release terminal grouping module and data memory module;
Described data acquisition module comprises local collecting unit, remote collection unit and Proprietary Information collecting unit; Described local collecting unit provides local interface to carry out data inputting to the content file of different storage medium, the data that described remote collection unit is used for information transmitting terminal sends carry out data inputting, and described Proprietary Information collecting unit gathers Proprietary Information by internet;
Described media content auditing module comprise Word message auditing module for auditing the Word message uploaded, for audit the stream media information uploaded stream media information auditing module, for auditing the pictorial information auditing module of the pictorial information uploaded;
Described data memory module comprises examination & verification and completes data storage cell, key data library unit and basic data library unit; Described examination & verification completes data storage cell and has audited for storing and audited the data passed through; Described key data library unit is for storing the key word in word review process; Described basic data library unit is for storing the similarity-rough set data in word review process;
Described Word message auditing module comprises information extraction modules, information filtering module, information classification module, and described information classification module comprises similarity calculated and result taxon; The output terminal of described data receiving terminal is connected with information extraction modules, the output terminal of information extraction modules and information filtering model calling, the output terminal of information filtering module is connected with similarity calculated, and the output terminal of similarity calculated is connected with result taxon; Described key data library unit and information filtering model calling, described basic data library unit is connected with similarity calculated;
Described stream media information auditing module and pictorial information auditing module include an audit terminal;
Described media content release management module for manage to information release terminal send file, comprise check all information release terminals local storage file, management document send and check transmission progress msg;
Described information release terminal grouping module is used for carrying out group division to information release terminal;
Described Play Control administration module comprises programme edit cell, programme error detection units, programme lead-out unit and programme display unit, described programme edit cell is for other programs between the program of the fixing program time-interval that is ranked and fixing program time-interval, realize stream media information, edit while pictorial information and Word message, described programme error detection units is for detecting the mistake of programme time conflict, described programme lead-out unit is used for issuing programme to information release terminal, described programme display unit is for showing the programme information of all information release terminals.
A kind of new media cloud distribution platform towards large data also comprises a log management module.
Described local collecting unit carries out data inputting by CD, video-tape, hard disk; The information that described remote collection unit is sent by mobile phone and the information that remote computer sends carry out data inputting; Described Proprietary Information collecting unit gathers traffic, weather and stock market information by internet.
Described information extraction modules, information filtering module and information classification module adopt the mode of streamline to carry out data processing.
Described information release terminal comprises mixed-media network modules mixed-media connected to the network, microprocessor, display screen, storer, audio-frequency module; Described display screen comprises the first display screen, second display screen and the 3rd display screen; Described mixed-media network modules mixed-media is connected with microprocessor, and the audio output of microprocessor is connected with audio-frequency module, and microprocessor is also connected with storer, the first display screen, second display screen and the 3rd display screen respectively; The first described display screen is LCD screen, described second display screen is the LED screen identical with the first display screen area shape, described second display screen and the first display screen arranged in parallel, the 3rd described display screen be arranged at above the first display screen, second display screen or below barcode LED screen; The first described display screen, second display screen and the 3rd display screen are respectively used to the information of Showing Picture, stream media information and Word message.
A kind of implementation method of the new media cloud distribution platform towards large data comprises data acquisition and examination & verification step, information release terminal and to divide into groups step and information release terminal information issue step;
Described data acquisition comprises following sub-step with examination & verification step:
S11: information transmitting terminal uploading data information, comprises Word message, pictorial information and stream media information;
S12: Cloud Server is audited information upload, comprises Word message examination & verification, pictorial information examination & verification and stream media information examination & verification; Described Word message examination & verification comprises following sub-step:
S121: information extraction modules carries out keyword extraction to the information of data receiving terminal, the quantity of described keyword extraction, according to the conditional decision preset, comprises following sub-step:
S1211: carry out word segmentation processing to information, calculates the word frequency of each word relative to described information;
S1212: calculate the reverse document-frequency of each word relative to the data in basic data library unit, log(A/B); In formula, the sum of data in Database Unit based on A, B is the number of times that each word occurs in basic data library unit;
S1213: word frequency be multiplied with reverse document-frequency, obtains keyword frequency;
S1214: according to the quantity of the keyword extraction preset, select multiple keyword;
S122: information filtering module carries out filtration treatment to key word: by making comparisons with the data of key data library unit, the information containing illegal key word is rejected;
S123: the information and basic data library unit that complete filtration treatment are carried out similarity comparison, comprises following sub-step:
S1231: the key word extracted is merged into a set, calculates the word frequency of the data in basic data library unit for the word in described set;
S1232: the word frequency vector generating the data in described information and basic data library unit;
S1233: calculate the word frequency vector of described information and the cosine similarity of the word frequency vector of the data in basic data library unit;
S124: result taxon judges whether maximum one of cosine similarity is greater than threshold value:
(1) if be greater than threshold value, then select that cosine similarity is greater than threshold value and maximum one or multinomial, the result of classifying as a result exports and enters step S13;
(2) if be less than threshold value, then carry out artificial judgment, the result of whether classifying as a result: if the judgment is Yes, then result is exported and enter step S13, and this information feeding basic data library unit is stored;
S13: will to have audited and the data information memory passed through to the examination & verification of data memory module completes in data storage cell;
Described information release terminal grouping step comprises following sub-step: information release terminal grouping module carries out division operation according to region to information release terminal;
Described information release terminal Information issued comprises following sub-step:
S21: the programme of programme edit cell to information release terminal of Play Control administration module is edited;
S22: the programme lead-out unit of Play Control administration module issues programme to the information release terminal in grouping;
S23: media content release management module checks the local storage file of information release terminal, does not have file in the programme sending and issue to information release terminal;
S24: information release terminal issues program according to the order of programme.
Described step S121, in the sub-step calculating keyword frequency, does not calculate the frequency of answering stop word.
Described basic data library unit comprises newly-increased subelement and general subelement, described data acquisition with examination & verification step also comprise a database purchase step S125: complete filters with classify after, the information collected is stored in the newly-increased subelement of basic data library unit and stores, after selecting according to demand, whether the whether keyword extraction of information and similarity comparison comprise the data in newly-increased subelement: comprise if select, then the general subelement data in newly-increased subelement being put into basic data library unit is preserved; Otherwise select to delete or retain.
The invention has the beneficial effects as follows:
The data collected are sent into Cloud Server and are processed by the present invention, data digging method is adopted for word examination & verification part: the key word blacklist according to having existed in Cloud Server extracts information, carry out keyword extraction and sort operation according to Back ground Information existing in Cloud Server and large data, ensure that data processing accurately and data processing high security; And adopt the method for manual analysis to carry out supplementing judgement to the data that machine cannot judge, there is judgement high reliability; Meanwhile, the present invention by new data stored in existing database, when there being new vocabulary to occur, can also avoid erroneous judgement; By the parallelization mode of pipeline processes, improve processing speed, after examination & verification, data are preserved.Send programme and issue data message, precise and high efficiency to information release terminal afterwards.
The cloud of data mining and new media is issued and is combined by the present invention, ensures legitimacy and the compliance of data, ensures the accuracy of data examination & verification simultaneously.
Accompanying drawing explanation
Fig. 1 is block diagram of the present invention;
Fig. 2 is Word message auditing module block diagram;
Fig. 3 is the inventive method process flow diagram.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail: as shown in Figure 1, a kind of new media cloud distribution platform towards large data, it comprises Cloud Server, information transmitting terminal and information release terminal;
Described Cloud Server comprises data acquisition module, media content auditing module, media content release management module, Play Control administration module, information release terminal grouping module and data memory module;
Described data acquisition module comprises local collecting unit, remote collection unit and Proprietary Information collecting unit; Described local collecting unit provides local interface to carry out data inputting to the content file of different storage medium, the data that described remote collection unit is used for information transmitting terminal sends carry out data inputting, and described Proprietary Information collecting unit gathers Proprietary Information by internet;
Described media content auditing module comprise Word message auditing module for auditing the Word message uploaded, for audit the stream media information uploaded stream media information auditing module, for auditing the pictorial information auditing module of the pictorial information uploaded;
Described data memory module comprises examination & verification and completes data storage cell, key data library unit and basic data library unit; Described examination & verification completes data storage cell and has audited for storing and audited the data passed through; Described key data library unit is for storing the key word in word review process; Described basic data library unit is for storing the similarity-rough set data in word review process;
Described Word message auditing module comprises information extraction modules, information filtering module, information classification module, and described information classification module comprises similarity calculated and result taxon; The output terminal of described data receiving terminal is connected with information extraction modules, the output terminal of information extraction modules and information filtering model calling, the output terminal of information filtering module is connected with similarity calculated, and the output terminal of similarity calculated is connected with result taxon; Described key data library unit and information filtering model calling, described basic data library unit is connected with similarity calculated;
Described stream media information auditing module and pictorial information auditing module include an audit terminal;
Described media content release management module for manage to information release terminal send file, comprise check all information release terminals local storage file, management document send and check transmission progress msg;
Described information release terminal grouping module is used for carrying out group division to information release terminal;
Described Play Control administration module comprises programme edit cell, programme error detection units, programme lead-out unit and programme display unit, described programme edit cell is for other programs between the program of the fixing program time-interval that is ranked and fixing program time-interval, realize stream media information, edit while pictorial information and Word message, described programme error detection units is for detecting the mistake of programme time conflict, described programme lead-out unit is used for issuing programme to information release terminal, described programme display unit is for showing the programme information of all information release terminals.
A kind of new media cloud distribution platform towards large data also comprises a log management module.
Described local collecting unit carries out data inputting by CD, video-tape, hard disk; The information that described remote collection unit is sent by mobile phone and the information that remote computer sends carry out data inputting; Described Proprietary Information collecting unit gathers traffic, weather and stock market information by internet.
Described information extraction modules, information filtering module and information classification module adopt the mode of streamline to carry out data processing.
Described information release terminal comprises mixed-media network modules mixed-media connected to the network, microprocessor, display screen, storer, audio-frequency module; Described display screen comprises the first display screen, second display screen and the 3rd display screen; Described mixed-media network modules mixed-media is connected with microprocessor, and the audio output of microprocessor is connected with audio-frequency module, and microprocessor is also connected with storer, the first display screen, second display screen and the 3rd display screen respectively; The first described display screen is LCD screen, described second display screen is the LED screen identical with the first display screen area shape, described second display screen and the first display screen arranged in parallel, the 3rd described display screen be arranged at above the first display screen, second display screen or below barcode LED screen; The first described display screen, second display screen and the 3rd display screen are respectively used to the information of Showing Picture, stream media information and Word message.
As shown in Figure 2, a kind of implementation method of the new media cloud distribution platform towards large data comprises data acquisition and examination & verification step, information release terminal and to divide into groups step and information release terminal information issue step;
Described data acquisition comprises following sub-step with examination & verification step:
S11: information transmitting terminal uploading data information, comprises Word message, pictorial information and stream media information;
S12: Cloud Server is audited information upload, comprises Word message examination & verification, pictorial information examination & verification and stream media information examination & verification; Described Word message examination & verification comprises following sub-step:
S121: information extraction modules carries out keyword extraction to the information of data receiving terminal, the quantity of described keyword extraction, according to the conditional decision preset, comprises following sub-step:
S1211: carry out word segmentation processing to information, calculates the word frequency of each word relative to described information;
S1212: calculate the reverse document-frequency of each word relative to the data in basic data library unit, log(A/B); In formula, the sum of data in Database Unit based on A, B is the number of times that each word occurs in basic data library unit;
S1213: word frequency be multiplied with reverse document-frequency, obtains keyword frequency;
S1214: according to the quantity of the keyword extraction preset, select multiple keyword;
S122: information filtering module carries out filtration treatment to key word: by making comparisons with the data of key data library unit, the information containing illegal key word is rejected;
S123: the information and basic data library unit that complete filtration treatment are carried out similarity comparison, comprises following sub-step:
S1231: the key word extracted is merged into a set, calculates the word frequency of the data in basic data library unit for the word in described set;
S1232: the word frequency vector generating the data in described information and basic data library unit;
S1233: calculate the word frequency vector of described information and the cosine similarity of the word frequency vector of the data in basic data library unit;
S124: result taxon judges whether maximum one of cosine similarity is greater than threshold value:
(1) if be greater than threshold value, then select that cosine similarity is greater than threshold value and maximum one or multinomial, the result of classifying as a result exports and enters step S13;
(2) if be less than threshold value, then carry out artificial judgment, the result of whether classifying as a result: if the judgment is Yes, then result is exported and enter step S13, and this information feeding basic data library unit is stored;
S13: will to have audited and the data information memory passed through to the examination & verification of data memory module completes in data storage cell;
Described information release terminal grouping step comprises following sub-step: information release terminal grouping module carries out division operation according to region to information release terminal;
Described information release terminal Information issued comprises following sub-step:
S21: the programme of programme edit cell to information release terminal of Play Control administration module is edited;
S22: the programme lead-out unit of Play Control administration module issues programme to the information release terminal in grouping;
S23: media content release management module checks the local storage file of information release terminal, does not have file in the programme sending and issue to information release terminal;
S24: information release terminal issues program according to the order of programme.
Described step S121, in the sub-step calculating keyword frequency, does not calculate the frequency of answering stop word.
Described basic data library unit comprises newly-increased subelement and general subelement, described data acquisition with examination & verification step also comprise a database purchase step S125: complete filters with classify after, the information collected is stored in the newly-increased subelement of basic data library unit and stores, after selecting according to demand, whether the whether keyword extraction of information and similarity comparison comprise the data in newly-increased subelement: comprise if select, then the general subelement data in newly-increased subelement being put into basic data library unit is preserved; Otherwise select to delete or retain.

Claims (8)

1. towards a new media cloud distribution platform for large data, it is characterized in that: it comprises Cloud Server, information transmitting terminal and information release terminal;
Described Cloud Server comprises data acquisition module, media content auditing module, media content release management module, Play Control administration module, information release terminal grouping module and data memory module;
Described data acquisition module comprises local collecting unit, remote collection unit and Proprietary Information collecting unit; Described local collecting unit provides local interface to carry out data inputting to the content file of different storage medium, the data that described remote collection unit is used for information transmitting terminal sends carry out data inputting, and described Proprietary Information collecting unit gathers Proprietary Information by internet;
Described media content auditing module comprise Word message auditing module for auditing the Word message uploaded, for audit the stream media information uploaded stream media information auditing module, for auditing the pictorial information auditing module of the pictorial information uploaded;
Described data memory module comprises examination & verification and completes data storage cell, key data library unit and basic data library unit; Described examination & verification completes data storage cell and has audited for storing and audited the data passed through; Described key data library unit is for storing the key word in word review process; Described basic data library unit is for storing the similarity-rough set data in word review process;
Described Word message auditing module comprises information extraction modules, information filtering module, information classification module, and described information classification module comprises similarity calculated and result taxon; The output terminal of described data receiving terminal is connected with information extraction modules, the output terminal of information extraction modules and information filtering model calling, the output terminal of information filtering module is connected with similarity calculated, and the output terminal of similarity calculated is connected with result taxon; Described key data library unit and information filtering model calling, described basic data library unit is connected with similarity calculated;
Described stream media information auditing module and pictorial information auditing module include an audit terminal;
Described media content release management module for manage to information release terminal send file, comprise check all information release terminals local storage file, management document send and check transmission progress msg;
Described information release terminal grouping module is used for carrying out group division to information release terminal;
Described Play Control administration module comprises programme edit cell, programme error detection units, programme lead-out unit and programme display unit, described programme edit cell is for other programs between the program of the fixing program time-interval that is ranked and fixing program time-interval, realize stream media information, edit while pictorial information and Word message, described programme error detection units is for detecting the mistake of programme time conflict, described programme lead-out unit is used for issuing programme to information release terminal, described programme display unit is for showing the programme information of all information release terminals.
2. a kind of new media cloud distribution platform towards large data according to claim 1, is characterized in that: also comprise a log management module, and described log management module is applied to record Operation Log and system journal; Described Operation Log is for recording all operations of operator, and described system journal carries out record to the ruuning situation of system.
3. a kind of new media cloud distribution platform towards large data according to claim 1, is characterized in that: described local collecting unit carries out data inputting by CD, video-tape, hard disk; The information that described remote collection unit is sent by mobile phone and the information that remote computer sends carry out data inputting; Described Proprietary Information collecting unit gathers traffic, weather and stock market information by internet.
4. a kind of new media cloud distribution platform towards large data according to claim 1, is characterized in that: described information extraction modules, information filtering module and information classification module adopt the mode of streamline to carry out data processing.
5. a kind of new media cloud distribution platform towards large data according to claim 1, is characterized in that: described information release terminal comprises mixed-media network modules mixed-media connected to the network, microprocessor, display screen, storer, audio-frequency module; Described display screen comprises the first display screen, second display screen and the 3rd display screen; Described mixed-media network modules mixed-media is connected with microprocessor, and the audio output of microprocessor is connected with audio-frequency module, and microprocessor is also connected with storer, the first display screen, second display screen and the 3rd display screen respectively; The first described display screen is LCD screen, described second display screen is the LED screen identical with the first display screen area shape, described second display screen and the first display screen arranged in parallel, the 3rd described display screen be arranged at above the first display screen, second display screen or below barcode LED screen; The first described display screen, second display screen and the 3rd display screen are respectively used to the information of Showing Picture, stream media information and Word message.
6. as the implementation method of a kind of new media cloud distribution platform towards large data in claim 1 ~ 5 as described in any one, it is characterized in that: comprise data acquisition and examination & verification step, information release terminal and to divide into groups step and information release terminal information issue step;
Described data acquisition comprises following sub-step with examination & verification step:
S11: information transmitting terminal uploading data information, comprises Word message, pictorial information and stream media information;
S12: Cloud Server is audited information upload, comprises Word message examination & verification, pictorial information examination & verification and stream media information examination & verification; Described Word message examination & verification comprises following sub-step:
S121: information extraction modules carries out keyword extraction to the information of data receiving terminal, the quantity of described keyword extraction, according to the conditional decision preset, comprises following sub-step:
S1211: carry out word segmentation processing to information, calculates the word frequency of each word relative to described information;
S1212: calculate the reverse document-frequency of each word relative to the data in basic data library unit, log(A/B); In formula, the sum of data in Database Unit based on A, B is the number of times that each word occurs in basic data library unit;
S1213: word frequency be multiplied with reverse document-frequency, obtains keyword frequency;
S1214: according to the quantity of the keyword extraction preset, select multiple keyword;
S122: information filtering module carries out filtration treatment to key word: by making comparisons with the data of key data library unit, the information containing illegal key word is rejected;
S123: the information and basic data library unit that complete filtration treatment are carried out similarity comparison, comprises following sub-step:
S1231: the key word extracted is merged into a set, calculates the word frequency of the data in basic data library unit for the word in described set;
S1232: the word frequency vector generating the data in described information and basic data library unit;
S1233: calculate the word frequency vector of described information and the cosine similarity of the word frequency vector of the data in basic data library unit;
S124: result taxon judges whether maximum one of cosine similarity is greater than threshold value:
(1) if be greater than threshold value, then select that cosine similarity is greater than threshold value and maximum one or multinomial, the result of classifying as a result exports and enters step S13;
(2) if be less than threshold value, then carry out artificial judgment, the result of whether classifying as a result: if the judgment is Yes, then result is exported and enter step S13, and this information feeding basic data library unit is stored;
S13: will to have audited and the data information memory passed through to the examination & verification of data memory module completes in data storage cell;
Described information release terminal grouping step comprises following sub-step: information release terminal grouping module carries out division operation according to region to information release terminal;
Described information release terminal Information issued comprises following sub-step:
S21: the programme of programme edit cell to information release terminal of Play Control administration module is edited;
S22: the programme lead-out unit of Play Control administration module issues programme to the information release terminal in grouping;
S23: media content release management module checks the local storage file of information release terminal, does not have file in the programme sending and issue to information release terminal;
S24: information release terminal issues program according to the order of programme.
7. the implementation method of a kind of new media cloud distribution platform towards large data according to claim 6, is characterized in that: described step S121, in the sub-step calculating keyword frequency, does not calculate the frequency of answering stop word.
8. the implementation method of a kind of new media cloud distribution platform towards large data according to claim 6, it is characterized in that: described basic data library unit comprises newly-increased subelement and general subelement, described data acquisition with examination & verification step also comprise a database purchase step S125: complete filters with classify after, the information collected is stored in the newly-increased subelement of basic data library unit and stores, after selecting according to demand, whether the whether keyword extraction of information and similarity comparison comprise the data in newly-increased subelement: comprise if select, the general the subelement then data in newly-increased subelement being put into basic data library unit is preserved, otherwise select to delete or retain.
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CN106933957A (en) * 2017-01-24 2017-07-07 上海东方传媒技术有限公司 Acquisition system and method
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CN107506454A (en) * 2017-08-29 2017-12-22 央视国际网络无锡有限公司 A kind of computer version and multi-media information security automatic early-warning system
CN108235072A (en) * 2018-01-22 2018-06-29 周口师范学院 A kind of program production management system based on new media platform
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CN109886437A (en) * 2019-03-15 2019-06-14 山东省农业机械科学研究院 A kind of electronic component atlas management system based on BS+CS framework
CN110162678A (en) * 2019-05-27 2019-08-23 北京亿生生网络科技有限公司 A kind of media cohesively managed method, system and storage medium based on block chain
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CN110738391A (en) * 2019-09-06 2020-01-31 北京创艺汇文化传播有限公司 design project management method and system
CN111325032A (en) * 2020-02-21 2020-06-23 中国建设银行股份有限公司 5G + intelligent banking institution name standardization method and device
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CN111918143A (en) * 2020-07-06 2020-11-10 广州市家庭医生在线信息有限公司 System and method for supporting distributed multi-cluster multi-terminal information release
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