CN108549722B - Multi-platform data publishing method, system and medium - Google Patents

Multi-platform data publishing method, system and medium Download PDF

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CN108549722B
CN108549722B CN201810377469.5A CN201810377469A CN108549722B CN 108549722 B CN108549722 B CN 108549722B CN 201810377469 A CN201810377469 A CN 201810377469A CN 108549722 B CN108549722 B CN 108549722B
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data
release
platform
matching
publishing
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CN108549722A (en
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刘孟
郑华堃
唐斌
叶高松
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Gaoding Xiamen Technology Co Ltd
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Gaoding Xiamen Technology Co Ltd
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Abstract

The invention discloses a multi-platform data release method, which comprises the following steps: presetting a database, wherein the database comprises a plurality of first data fields; acquiring a release file of each platform, wherein the release file comprises a platform label, a release rule, a plurality of second data fields and second data attributes in one-to-one correspondence with the second data fields, and establishing association among the platform label, the release rule and the plurality of second data fields; semantic matching is carried out on second data attributes and second data fields of the plurality of issued files respectively, and whether the matching degree reaches a threshold value is judged; if yes, establishing second data field association among the platforms; semantic matching is carried out on the first data field and the second data field, and whether the matching degree of the first data field and the second data field reaches a threshold value is judged; if yes, establishing association between the first data field and the second data field; and acquiring release data, and releasing the data according to the release rule and the association of the fields. The automatic matching of the data publishing file and the matching database and the automatic publishing of the data file can be realized.

Description

Multi-platform data publishing method, system and medium
Technical Field
The invention relates to the technical field of information, in particular to a multi-platform data publishing method, a multi-platform data publishing system and a multi-platform data publishing medium.
Background
With the rapid development of network technology, various platforms are born. For example, e-commerce platforms for the sale of goods; a reading platform for publication of a work; advertising platforms for marketing of goods, and the like.
Before the platforms release the data provided by the users, the users need to arrange the data according to the established rules, and then the data can be submitted for auditing and correspondingly released. Therefore, when a user needs to publish the same data on multiple platforms at the same time, the user needs to know the publication rules of the platforms and arrange the data according to the publication rules. Causing a great deal of time waste and low efficiency.
Therefore, various multi-platform publishing systems are proposed in the prior art, and are used for multi-platform publishing of the same data. The existing multi-platform publishing system mostly obtains the data publishing files of all platforms through interfaces, and manually matches the data in the data publishing files with the data in the matching database one to one. However, this approach requires a person to have relevant experience and a deep understanding of the platform rules and matching principles. Also, the number of people required for this approach is large based on the amount of data for each platform.
Disclosure of Invention
The invention aims to provide a multi-platform data release method, a multi-platform data release system and a multi-platform data release medium, which can automatically acquire data release files of various platforms and automatically match data in the data release files with data in a matching database.
In order to solve the technical problems, the invention adopts the technical scheme that:
a multi-platform data publishing method comprises the following steps:
presetting a matching database, wherein the matching database comprises a plurality of first data fields;
acquiring a data release file of each platform in the multiple platforms, wherein the data release file comprises a platform label, a release rule, a plurality of second data fields and second data attributes in one-to-one correspondence with the plurality of second data fields, and establishing association among the platform label, the release rule and the plurality of second data fields;
respectively carrying out semantic matching on second data attributes and second data fields contained in the plurality of data release files, and judging whether the matching degree reaches a threshold value;
if yes, establishing second data field association among the platforms;
semantic matching is carried out on the first data field and the second data field, and whether the matching degree of the first data field and the second data field reaches a threshold value is judged;
if yes, establishing association between the first data field and the second data field;
and acquiring data to be issued, and issuing the data according to the issuing rule and the association between the first data field and the second data field.
Further, semantic matching is performed on second data attributes and second data fields contained in the multiple data release files, and whether the matching degree reaches a threshold value is judged, specifically:
performing semantic matching on second data attributes contained in the data release files, and judging whether the matching degree of the second data attributes reaches a first threshold value;
if so, establishing association of second data fields corresponding to the second data attributes among the platforms;
if not, performing semantic matching on second data fields contained in the data release files, and judging whether the matching degree reaches a second threshold value;
and if so, establishing the association of the second data fields among the platforms.
Further, still include:
and monitoring the data file publishing servers of all the platforms, acquiring the updated data publishing files when the data file publishing servers update the data publishing files, and updating the publishing rules and the association between the first data fields and the second data fields according to the updated files.
Further, the acquiring the data to be issued specifically includes:
and acquiring the data to be issued, which is input by the user according to the matching database, through a mobile terminal or a computer terminal.
A multi-platform data release system comprises a rule acquisition module, a data matching module, a data acquisition module and a data release module; the rule obtaining module is used for obtaining data release files of each platform in the multiple platforms; the data matching module is used for carrying out semantic matching on the information in the data release file and the information in the matching database; the data acquisition module is used for acquiring data to be issued input by a user and establishing the association between the data to be issued and the matching database; and the data publishing module is used for publishing data according to a publishing rule in a data publishing file and the association of the data.
The system further comprises a monitoring module, wherein the monitoring module is used for monitoring the data file release servers of all the platforms and acquiring the updated data release files when the data file release servers update the data release files.
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the multi-platform data distribution method of any one of claims 1 to 4.
The invention has the beneficial effects that: and performing semantic matching on data fields and data attributes in each data release file after the data release file is acquired through a preset matching database, and performing semantic matching on the data fields in the matching database according to a matching result. The automatic matching of each data field can be realized, manual participation is not needed, the efficiency is improved, and meanwhile, the human resources are saved.
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FIG. 1 is a schematic flow chart of a multi-platform data publishing method disclosed by the present invention;
fig. 2 is a schematic flowchart of an embodiment of a multi-platform data publishing method disclosed in the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The description of the exemplary embodiments is for purposes of illustration only and is not intended to limit the invention, its application, or uses.
The most key concept of the invention is as follows: and performing semantic matching on the data fields and the data attributes in each data release file after the data release file is acquired through the preset matching database, and performing semantic matching on the data fields in the matching database according to the matching result to realize automatic matching of the data fields.
Examples
Referring to fig. 1 and fig. 2, the present embodiment provides a specific implementation scenario of a multi-platform data distribution method:
the following description will be made of the multi-platform data distribution method disclosed by the present invention, taking the application of the present invention in an e-commerce platform for goods sales as an example, and the method includes:
the method comprises the steps of presetting a matching database, wherein the matching database comprises a plurality of first data fields for distinguishing commodity data types. The first data field is set according to data release files of all platforms collected for a long time and historical release files. The first data field should contain data fields that are already present or are expected to be present in each platform data distribution file.
And acquiring a data release file of each platform through an open interface of each platform, wherein the data release file comprises a platform label, a release rule, a plurality of second data fields for distinguishing the commodity data types and second data attributes in one-to-one correspondence with the plurality of second data fields. The platform tag can be regarded as a unique identification ID of each platform, and is used for distinguishing each platform so as to store subsequent related data respectively. The distribution rules are set by each platform, and the distribution rules are various, such as the arrangement sequence of the commodity data categories, the uploading quantity limit of commodity pictures, the character number limit, the picture format requirement and the like. Therefore, the publication rule is not limited herein. An association of the platform tag, the publication rule, and the plurality of second data fields is established.
Respectively carrying out semantic matching on second data attributes and second data fields contained in the plurality of data release files, and judging whether the matching degree reaches a threshold value; semantic matching is to study the matching degree of two natural language texts in the sense, and the requirement of semantic matching comes from flexible application of people to natural language. Specifically, in multi-platform rule setting, when naming data fields for data classification, a rule maker often adopts different expression modes although expressing the same meaning. And the interpretation of the data categories may also differ. Therefore, in the scheme, preferably, semantic matching is firstly carried out on second data attributes contained in the plurality of data release files, and whether the matching degree reaches a first threshold value is judged; and if so, establishing second data field association corresponding to each second data attribute among the platforms. It is understood that a data attribute is an interpretation of a data field that contains a greater amount of information than the data field. Therefore, preferably, semantic matching is performed on the data attributes first, so that the data fields which can be matched can be effectively screened, and the matching accuracy is improved. Further, if the semantic matching degree of the second data attributes contained in the multiple data release files does not reach the first threshold, performing semantic matching on the second data fields contained in the multiple data release files, and judging whether the matching degree reaches the second threshold, if so, establishing the association of the second data fields among the platforms. Therefore, the second data field association in each platform data release file is established through the secondary semantic matching, the second data fields contained in the data release files of each platform can be effectively associated, and manual participation is not needed.
Semantic matching is carried out on the first data field and the second data field, and whether the matching degree of the first data field and the second data field reaches a threshold value is judged; and if so, establishing association between the first data field and the second data field. After the association of the second data fields among the platforms is established, the association of each second data field in the data release file of each platform and the first data field in the matching database is finally established by performing semantic matching on the second data fields and the first data fields.
And acquiring the release data, and releasing the data according to the release rule and the association of the first data field and the second data field. It can be seen that there are more than one way to obtain the published data. For example, data docking can be performed on commodity data which is issued on a certain platform by a user through authorization of the user, so that issued data can be obtained; the release data and the like can also be acquired through the commodity detailed description file arranged by the user. According to the scheme, preferably, the data to be published recorded by the user according to the matching database is obtained through the mobile terminal or the computer terminal, and then after the user records the data to be published through a mobile phone APP, a WEB page or other recordable interfaces, the association between each item of data in the data to be published and the first data field in the matching database is established. Therefore, semantic matching of the data to be issued is not required again. And finally, performing data distribution according to the obtained distribution rule and the association between the first data field and the second data field.
Preferably, the multi-platform data publishing method provided by the present invention further includes monitoring a data file publishing server of each platform in the multi-platform, and when the data file publishing server updates the data publishing file, acquiring the updated data publishing file, and updating the publishing rule and the association between the first data field and the second data field according to the updated file. The data file publishing server is automatically monitored through the system, so that system parameters are updated at the first time when the platform updates the data publishing files, and the synchronism of the system and the platform data publishing is further kept. And the problem that the user cannot normally release the commodity during the data updating period is avoided.
Correspondingly, the invention also provides a multi-platform data release system, which comprises a rule acquisition module, a data matching module, a data acquisition module and a data release module; the rule obtaining module is used for obtaining data release files of each platform in the multiple platforms; the data matching module is used for carrying out semantic matching on the information in the data release file and the information in the matching database; the data acquisition module is used for acquiring data to be issued input by a user and establishing the association between the data to be issued and the matching database; and the data publishing module is used for publishing data according to a publishing rule in a data publishing file and the association of the data.
Preferably, the system further includes a monitoring module, where the monitoring module is configured to monitor the data file publishing servers of the platforms, and obtain the updated data publishing files when the data file publishing servers update the data publishing files.
Accordingly, the present invention also provides a computer readable storage medium, which can implement the steps of the multi-platform data distribution method when being executed by a processor.
Compared with the prior art, the multi-platform data publishing method, the multi-platform data publishing system and the multi-platform data publishing medium can automatically complete the matching of the data fields in the data publishing file and the data fields in the matching database without manual participation. And moreover, the data issuing servers of all the platforms are monitored, so that the data updating synchronism of the system and all the platforms is kept, and the problem that the user cannot normally issue the commodities in the data updating period is avoided.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims (4)

1. A multi-platform data publishing method is characterized by comprising the following steps:
presetting a matching database, wherein the matching database comprises a plurality of first data fields;
acquiring a data release file of each platform in the multiple platforms, wherein the data release file comprises a platform label, a release rule, a plurality of second data fields and second data attributes in one-to-one correspondence with the plurality of second data fields,
establishing the platform label, the release rule and a plurality of second data field associations;
respectively carrying out semantic matching on second data attributes and second data fields contained in the plurality of data release files, and judging whether the matching degree reaches a threshold value;
if yes, establishing second data field association among the platforms;
semantic matching is carried out on the first data field and the second data field, and whether the matching degree of the first data field and the second data field reaches a threshold value is judged;
if yes, establishing association between the first data field and the second data field;
acquiring data to be issued, and issuing the data according to the issuing rule and the association between the first data field and the second data field;
the method comprises the following steps of respectively carrying out semantic matching on second data attributes and second data fields contained in a plurality of data release files, and judging whether the matching degree reaches a threshold value, specifically:
performing semantic matching on second data attributes contained in the data release files, and judging whether the matching degree of the second data attributes reaches a first threshold value;
if so, establishing association of second data fields corresponding to the second data attributes among the platforms;
if not, performing semantic matching on second data fields contained in the data release files, and judging whether the matching degree reaches a second threshold value;
and if so, establishing the association of the second data fields among the platforms.
2. The multi-platform data publishing method recited in claim 1, further comprising:
and monitoring the data file publishing servers of all the platforms, acquiring the updated data publishing files when the data file publishing servers update the data publishing files, and updating the publishing rules and the association between the first data fields and the second data fields according to the updated files.
3. The multi-platform data publishing method of claim 1, wherein: the acquiring of the data to be issued specifically includes: and acquiring the data to be issued, which is input by the user according to the matching database, through a mobile terminal or a computer terminal.
4. A computer-readable storage medium characterized by: the computer storage medium has stored thereon a computer program which, when executed by a processor, carries out the steps of the multi-platform data distribution method according to any one of claims 1 to 3.
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Publication number Priority date Publication date Assignee Title
CN110297850B (en) * 2019-05-28 2021-10-15 北京奇艺世纪科技有限公司 Feature operation set issuing method and device, electronic equipment and storage medium
CN113064868A (en) * 2021-03-19 2021-07-02 广东科诺勘测工程有限公司 Submarine cable detection data automatic publishing and updating method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6651217B1 (en) * 1999-09-01 2003-11-18 Microsoft Corporation System and method for populating forms with previously used data values
US7343551B1 (en) * 2002-11-27 2008-03-11 Adobe Systems Incorporated Autocompleting form fields based on previously entered values
CN101196885A (en) * 2006-12-06 2008-06-11 鸿富锦精密工业(深圳)有限公司 Web page data auto-filling system and method
CN103870493A (en) * 2012-12-14 2014-06-18 中国银联股份有限公司 Page automatic input system and method
CN104346398A (en) * 2013-08-06 2015-02-11 航天信息股份有限公司 Method and device for automatically filling and submitting data on line
CN104657396A (en) * 2013-11-25 2015-05-27 腾讯科技(深圳)有限公司 Data migration method and device

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8732570B2 (en) * 2005-09-08 2014-05-20 Ricoh Co. Ltd. Non-symbolic data system for the automated completion of forms
US8019737B2 (en) * 2008-03-13 2011-09-13 Harris Corporation Synchronization of metadata
US20110271173A1 (en) * 2010-05-03 2011-11-03 Xerox Corporation Method and apparatus for automatic filling of forms with data
US10296627B2 (en) * 2015-08-18 2019-05-21 Fiserv, Inc. Generating integrated data records by correlating source data records from disparate data sources

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6651217B1 (en) * 1999-09-01 2003-11-18 Microsoft Corporation System and method for populating forms with previously used data values
US7343551B1 (en) * 2002-11-27 2008-03-11 Adobe Systems Incorporated Autocompleting form fields based on previously entered values
CN101196885A (en) * 2006-12-06 2008-06-11 鸿富锦精密工业(深圳)有限公司 Web page data auto-filling system and method
CN103870493A (en) * 2012-12-14 2014-06-18 中国银联股份有限公司 Page automatic input system and method
CN104346398A (en) * 2013-08-06 2015-02-11 航天信息股份有限公司 Method and device for automatically filling and submitting data on line
CN104657396A (en) * 2013-11-25 2015-05-27 腾讯科技(深圳)有限公司 Data migration method and device

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