CN111339372A - Metadata management method and device - Google Patents
Metadata management method and device Download PDFInfo
- Publication number
- CN111339372A CN111339372A CN201911376166.2A CN201911376166A CN111339372A CN 111339372 A CN111339372 A CN 111339372A CN 201911376166 A CN201911376166 A CN 201911376166A CN 111339372 A CN111339372 A CN 111339372A
- Authority
- CN
- China
- Prior art keywords
- user
- metadata
- label
- determining
- content
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000007726 management method Methods 0.000 title description 19
- 238000000034 method Methods 0.000 claims abstract description 61
- 238000002372 labelling Methods 0.000 claims abstract description 15
- 238000012216 screening Methods 0.000 claims description 27
- 238000004590 computer program Methods 0.000 claims description 16
- 230000008569 process Effects 0.000 claims description 11
- 230000015654 memory Effects 0.000 claims description 10
- 238000001914 filtration Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 12
- 241000220225 Malus Species 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 5
- 235000013399 edible fruits Nutrition 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 235000013305 food Nutrition 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 235000021016 apples Nutrition 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
- G06F16/9024—Graphs; Linked lists
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/02—Banking, e.g. interest calculation or account maintenance
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Library & Information Science (AREA)
- Software Systems (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- General Business, Economics & Management (AREA)
- Computing Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present document relates to a method of managing metadata. The method comprises the following steps: when an operation request of a user for marking metadata on a platform is received, determining the amount of a guarantee fund corresponding to the metadata of which the user requests marking; and acquiring and storing the labeling result of the user on the metadata after detecting that the user delivers the guarantee fund with the corresponding amount to a preset guarantee fund management system.
Description
Technical Field
The present disclosure relates to the field of information processing, and in particular, to a method and an apparatus for managing metadata.
Background
In a network data exchange platform, particularly a distributed centerless/weak-center data exchange platform represented by a block chain system, digitized information (hereinafter referred to as "metadata", such as data, computational knowledge, etc.) is a main exchange, and before exchange occurs, in order to ensure the security of the metadata, a data annotation method is generally adopted to describe the characteristics of the data. The label is used as a description of data characteristics and has certain representativeness to the value of the data. On the platform, the end-user can only index according to the tag before he obtains the original data. However, because the value of the metadata has no unified evaluation standard, and the platform lacks an effective supervision mechanism, the quality of the goods (or services) provided on the platform is uneven, and a large amount of invalid and low-quality information is filled in the public platform, so that the inferior coin expels the good coin, and the benign development of the platform is seriously influenced.
In the related art, a metadata provider directly defines the price of metadata, labels the metadata, and entrusts a platform side to manage the metadata. The platform charges the user applying for using the metadata for use, reserves management fee from the use fee, and settles the fee with the metadata provider periodically. When a user encounters data counterfeiting and other problems in the using process, the user needs to complain to the platform side, and the platform side carries out the operation according to the regulations.
Since the metadata provider and the platform party are the community of interest, the platform party has difficulty in guaranteeing the quality of the metadata.
Disclosure of Invention
In order to solve any technical problem in the related art, the present application provides a method and an apparatus for managing metadata.
A method of managing metadata, comprising:
when an operation request of a user for marking metadata on a platform is received, determining the amount of a guarantee fund corresponding to the metadata of which the user requests marking;
and acquiring and storing the labeling result of the user on the metadata after detecting that the user delivers the guarantee fund with the corresponding amount to a preset guarantee fund management system.
In an exemplary embodiment, before determining the amount of the deposit corresponding to the user-requested annotated metadata, the method further comprises:
after obtaining a label generated by the user executing the labeling operation, determining a category to which the label belongs, wherein the category is a core label or an additional label;
and when the category of the tag is the additional tag, determining the amount of the guarantee fund corresponding to the metadata which is requested to be labeled by the user.
In an exemplary embodiment, before determining the amount of the deposit corresponding to the user-requested annotated metadata, the method includes:
after acquiring the content of a label added by a user, judging whether the content of the label meets a preset content screening condition;
and when the content of the tag meets the content screening condition, determining the amount of the guaranty corresponding to the metadata which is requested to be labeled by the user.
In an exemplary embodiment, the determining whether the content of the tag meets the preset content screening condition by at least one of the following manners includes:
if the content of the added label does not accord with a preset judgment strategy with a special meaning, determining that the content of the label meets the content screening condition;
if the length of the label added by the user is not more than the preset longest length, determining that the content of the label meets the content screening condition;
if the length of the label added by the user is not more than the preset longest length, analyzing the content of the label, determining the minimum unit of the key content comprising the label, taking the minimum unit as the content of the label, and recording that the content of the minimum unit meets the content screening condition.
In an exemplary embodiment, before the determining whether the content of the tag satisfies a preset content screening condition, the method further includes:
after the labels added by the user are obtained, whether a target word and the labels added by the user accord with a preset similar word judgment strategy or not is searched in the prestored labels; the similar word judgment strategy is used for determining the minimum unit of the similar words, the synonyms or the key contents comprising the labels added by the user;
and if the target word is found, prompting the user to label by using the target word.
In an exemplary embodiment, the determining the amount of the collateral deposit corresponding to the metadata requested by the user to mark comprises:
acquiring the number of the tags added by the user, and determining the guarantee money corresponding to the number of the tags added by the user according to the preset amount of the guarantee money corresponding to each tag;
alternatively, the first and second electrodes may be,
acquiring the content of each label added by the user, and determining the weight corresponding to each label according to the content of each label; acquiring the number of the labels added by the user, and determining the reference guarantee fund corresponding to the number of the labels according to the reference guarantee fund corresponding to the single label acquired in advance; and determining the guarantee fund of the label added by the user by using the weight corresponding to each label and the reference guarantee fund.
In an exemplary embodiment, the determining the weight corresponding to each tag includes:
acquiring the total value of metadata of the content containing the label in a metadata system and the total value of all the metadata;
and determining the weight of the label according to the total value of the metadata of the content containing the label and the total value of all the metadata.
In an exemplary embodiment, after obtaining and saving the result of the user annotation on the metadata, the method further includes:
and when the transaction information of the metadata meets preset transaction conditions, executing an operation of returning a guarantee fund to the user.
In an exemplary embodiment, the transaction condition comprises at least two judgment conditions, each judgment condition has a corresponding return proportion of the guaranty, wherein the judgment conditions are determined according to the transaction information without complaints in the transaction process of the metadata;
when the transaction information of the metadata meets preset transaction conditions, the operation of returning a guarantee fund to the user is executed, and the operation comprises the following steps:
in the transaction process of the metadata, recording the transaction information without complaints corresponding to the metadata;
judging whether the non-complaint transaction information corresponding to the metadata meets any judgment condition in the transaction conditions;
and if the non-complaint transaction information corresponding to the metadata meets any judgment condition in the transaction conditions, returning the guarantee fund with the corresponding amount to the user according to the return proportion of the guarantee fund corresponding to the judgment condition.
An apparatus for managing metadata, comprising:
the system comprises a determining module, a determining module and a judging module, wherein the determining module is used for determining the amount of the guarantee deposit corresponding to metadata which is requested to be labeled by a user when receiving an operation request of labeling the metadata on a platform by the user;
and the management module is used for acquiring and storing the labeling result of the user on the metadata after detecting that the user delivers the guarantee fund of the corresponding fund amount to a preset guarantee fund management system.
A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed, implements the steps of the method of any of the above.
A computer device comprising a processor, a memory and a computer program stored on the memory, wherein the processor, when executing the computer program, implements the steps of any of the methods described above.
According to the scheme provided by the embodiment of the application, when the operation request that the user marks the metadata on the platform is received, the amount of the guarantee fund corresponding to the metadata that the user requests marking is determined, and after the user pays the guarantee fund of corresponding amount to a preset guarantee fund management system, the guarantee fund is acquired and saved, the marking result of the metadata is right, the marking quality of the metadata is guaranteed by means of the guarantee fund, so that the quality of data is improved, and the complaint rate of data transaction is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification. In the drawings:
fig. 1 is a flowchart of a method for managing metadata according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for calculating a weight of metadata according to an embodiment of the present application.
Fig. 3 is a block diagram of a metadata management apparatus according to an embodiment of the present application.
Fig. 4 is a block diagram of a computer device provided in an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some but not all of the embodiments of the present invention. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments herein without making any creative effort fall within the scope of protection of the present disclosure. It should be noted that the embodiments and features of the embodiments may be arbitrarily combined with each other without conflict.
Fig. 1 is a flowchart of a method for managing metadata according to an embodiment of the present application. The method shown in fig. 1 comprises:
in an exemplary embodiment, the tags are important bases for data value evaluation and are one of a few reference criteria, other than historical user opinion, for the end user before confirming the transaction. For any metadata, it can be labeled by several labels (semantics), becoming a label set of the metadata.
And 102, acquiring and storing the labeling result of the user on the metadata after detecting that the user delivers the guarantee fund with the corresponding amount to a preset guarantee fund management system.
In one exemplary embodiment, the collateral is locked onto the platform at the time of metadata publication. The platform operator does not participate in the management of the vouchers, which are maintained and managed according to the metadata provider application and third parties approved by the user.
According to the method provided by the embodiment of the application, when an operation request that a user marks metadata on a platform is received, the amount of the guarantee fund corresponding to the metadata that the user requests marking is determined, and after the user pays the guarantee fund of corresponding amount to a preset guarantee fund management system, the marking result of the metadata is obtained and saved, the marking quality of the metadata is guaranteed by means of the guarantee fund, so that the quality of data is improved, and the complaint rate of data transaction is reduced.
The method provided by the embodiments of the present application is explained as follows:
in an exemplary embodiment, before determining the amount of the deposit corresponding to the user-requested annotated metadata, the method further comprises:
after obtaining a label generated by the user executing the labeling operation, determining a category to which the label belongs, wherein the category is a core label or an additional label;
and when the category of the tag is the additional tag, determining the amount of the guarantee fund corresponding to the metadata which is requested to be labeled by the user.
The label set of each metadata is divided into a core label and an additional label. Wherein:
the core labels are a limited number of free labels which are counted and published according to the overall operation condition of the operation system;
for the additional part, the number of the other parts in the metadata tag set defined by the user can be freely increased and decreased according to the user requirement, but the user is required to provide a guarantee fund as quality guarantee.
Wherein, the core label and the additional label have no order inside, and the number is used as the measurement standard.
For the number of core parts, before the metadata is to be published, the number may be obtained by any one of the following methods, including:
scheme 1: according to system specifications, the number of core part labels is determined, such as: the system provides that the number of the labels of the core part is 3;
scheme 2: the user is required to specify the category to which the metadata belongs, such as "medical data", "travel information", and the like, and the average value (or median, minimum value, maximum value, and the like) of the number of tags in the metadata of successful transactions of the category a period of time before the current time is determined. If the median of the number of the core tags is 4 in the metadata transaction of all the 'medical data' successful three days before the current time, the number of the current core part tags is 4.
The number of additional partial tags, mainly used to further describe the attributes of the metadata, can be increased by the user.
In an exemplary embodiment, before determining the amount of the deposit corresponding to the user-requested annotated metadata, the method includes:
after acquiring the content of a label added by a user, judging whether the content of the label meets a preset content screening condition;
and when the content of the tag meets the content screening condition, determining the amount of the guaranty corresponding to the metadata which is requested to be labeled by the user.
Through the examination of the content of the label, the reasonability of the content of the label added by the user can be ensured, and meanwhile, convenience is provided for the subsequent calculation of the guarantee fund.
In an exemplary embodiment, the determining whether the content of the tag meets the preset content screening condition by at least one of the following manners includes:
the method comprises the following steps that 1, if the content of the added label does not accord with a preset judgment strategy with a special meaning, the content of the label is determined to meet the content screening condition;
scheme 2, if the length of the label added by the user is not more than the preset longest length, determining that the content of the label meets the content screening condition; if the length of the label added by the user is not larger than the preset longest length, analyzing the content of the label, determining the minimum unit comprising the key content of the label, taking the minimum unit as the content of the label, and recording that the content of the minimum unit meets the content screening condition.
In the scheme 1, the judgment strategy with special meaning can be used for determining the appearance of uncommon words, personal self-defining words and non-technical words, so that the universality of the label content is ensured, and convenience is increased for data transaction.
In the scheme 2, the length of the label is controlled, so that the unified management of the label can be facilitated, misleading of non-key information to the content of the label is reduced, and convenience is increased for data transaction.
In addition, the guarantee fund limit of the label can be comprehensively determined according to the weight corresponding to the minimum unit and the premium price; if the added label accords with the preset judgment strategy of the special technical label, the guarantee fund of the label can be forcibly priced.
In an exemplary embodiment, before determining whether the content of the tag satisfies a preset content screening condition, the method further includes:
after the labels added by the user are obtained, whether a target word and the labels added by the user accord with a preset similar word judgment strategy or not is searched in the prestored labels; the similar word judgment strategy is used for determining the minimum unit of the similar words, the synonyms or the key contents comprising the labels added by the user;
and if the target word is found, prompting the user to label by using the target word.
The number of the labels can be effectively controlled by utilizing the similar word judgment strategy, and when the user marks the additional labels, the labels used by the user are unified, so that convenience is provided for label management.
In an exemplary embodiment, the determining the amount of the collateral deposit corresponding to the metadata requested by the user to mark comprises:
acquiring the number of the tags added by the user, and determining the guarantee money corresponding to the number of the tags added by the user according to the preset amount of the guarantee money corresponding to each tag;
alternatively, the first and second electrodes may be,
acquiring the content of each label added by the user, and determining the weight corresponding to each label according to the content of each label; acquiring the number of the labels added by the user, and determining the reference guarantee fund corresponding to the number of the labels according to the reference guarantee fund corresponding to the single label acquired in advance; and determining the guarantee fund of the label added by the user by using the weight corresponding to each label and the reference guarantee fund.
In an exemplary embodiment, the determining the weight corresponding to each tag includes:
acquiring the total value of metadata of the content containing the label in a metadata system and the total value of all the metadata;
and determining the weight of the label according to the total value of the metadata of the content containing the label and the total value of all the metadata.
To avoid over-labeling any metadata by the user, the user is required to pay an additional "collateral" for labeling of the additional tags.
Wherein, the guarantee fund paid by the user is determined by the following method comprising the following steps:
scheme 1: the system specifies the amount of the collateral to be paid for each additional tag added; which may be a fixed price or an incremental or meta-data based price ratio. If only one additional tag is needed, 5 yuan of security is paid, if two tags are needed, 10 yuan of security is paid, and so on;
scheme II: the system determines the ratio of the total amount of data marked by all the type tags in the system to the total amount of all metadata in the system according to the current time, namely the weight. And finally, the total amount of the guarantee fund to be paid by the additional tags is comprehensively determined according to the weight of each additional tag and the reference guarantee fund corresponding to the number of the tags. If A, B, C the weight of three labels is 0.1, 0.5, 0.2, the system stipulates that the base guarantee of 1 additional label is 10, the base guarantee of 3 additional labels is 3 x 10 ═ 30, and the guarantee that the user needs to pay is (0.1+0.5+0.2) × 30 ═ 24;
the method for determining the weight of the label is specifically shown in fig. 2, and includes:
step 201, acquiring additional labels added by a user plan;
for example, the user plans to add label A;
step 202, inquiring the total value of the metadata containing the additional tag in the system;
for example, the total value of data containing an "A" tag is X;
step 203, inquiring the total value of all metadata in the system;
for example, the total value of all metadata is Y;
step 203, calculating the weight of the additional label according to the total value of the data containing the additional label and the total value of all metadata in the system;
the weight W is obtained by calculating the ratio of the total value X to the total value Y, where 0< ═ W < ═ 1.
In an exemplary embodiment, after obtaining and saving the result of the user annotation on the metadata, the method further includes:
and when the transaction information of the metadata meets preset transaction conditions, executing an operation of returning a guarantee fund to the user.
In an exemplary embodiment, the transaction condition comprises at least two judgment conditions, each judgment condition has a corresponding return proportion of the guaranty, wherein the judgment conditions are determined according to the transaction information without complaints in the transaction process of the metadata;
when the transaction information of the metadata meets preset transaction conditions, the operation of returning a guarantee fund to the user is executed, and the operation comprises the following steps:
in the transaction process of the metadata, recording the transaction information without complaints corresponding to the metadata;
judging whether the non-complaint transaction information corresponding to the metadata meets any judgment condition in the transaction conditions;
and if the non-complaint transaction information corresponding to the metadata meets any judgment condition in the transaction conditions, returning the guarantee fund with the corresponding amount to the user according to the return proportion of the guarantee fund corresponding to the judgment condition.
In addition, a guarantee fund is provided for the user and is always owned by the user.
The collateral is locked onto the platform at the time of metadata release. The platform operator does not participate in the management of the collateral. And the guarantee fund carries out value evaluation according to the application of the metadata provider and a third party approved by the end user, and comprehensively determines the return time and the return proportion of the guarantee fund according to the evaluation of the end user.
Such as: the guarantee fund of the metadata is 100 yuan, and the use of the metadata for 50 times without complaints returns 60%; no complaints are issued for 10 days, and 20% is returned; release for 30 days without complaints and return the rest. In addition, the third party is invited to evaluate the value, and the evaluation result can be released and uploaded to the platform and then directly returned by 50%.
The guarantee fund return rule can be forcibly regulated by the system, or defined by the user when releasing the metadata, or determined by the regulation of the integrated system and the user.
For example, a portion of the collateral is mandated by the system and another portion is specified by the user, e.g., 40% of the collateral is specified by the system and the remaining 60% is determined by the user.
The following is a description of specific application examples:
some data to be released are 20 photographs of red Shandong apples: 01.jpg,02.png,03.gif … …. bmp, for which the user defined a set of tags: apple, red, 20, photo, Shandong, fruit and food. The platform specifies that the number of core tags of a tag set of the metadata is 3, then a user needs to select 3 tags from the tag set as core tags before publishing, and finally the user selects { "apple", "red", "20" } as core tags and additional tags as { "photo", "Shandong", "fruit", "food".
The representation form and the storage format of the tags can be customized, and only one set can be accurately divided into two parts according to the mode.
| Metadata: | 20 photographs of red Shandong apples: 01.jpg,02.png,03.gif … …. bmp |
| And (3) label set: | { "apple", "red", "20 pieces" }, { "photograph", "Shandong", "fruit", "food" } |
The system was found to have a "photo" weight of 0.1, a "Shandong" weight of 0.2, a "fruit" weight of 0.8, and a "food" weight of 0.56.
The cardinality of the 4 additional tags in the system is found to be 800.
The user issues the tagset and pays a guarantee fee (0.1+0.2+0.8+0.56) × 800 ═ 1328 yuan.
According to the check, a return mode is specified in the system: the return rate of 20 non-complaint transactions is 30 percent; the complaint return rate is 30 percent after 2 continuous days; the complaint return rate is 40 percent when the Chinese medicinal composition is continuously used for 100 days. The proportion of the system rule is more than 60 percent
User supplement rules: each successful transaction, a 1% collateral is paid to the fund account, with the user rules accounting for 40%.
Final rule:
1. the 20 complaint-free transaction returns by 30%. 1328.60%;
2. the complaint-free return ratio of 2 days was 30% by 1328% by 60%;
3. the complaint-free return ratio of 100 days is 40% 1328% 60%;
4. payment to account 1% 1328% 40% per successful transaction; (Payment 100 times at most, the user rules part of the guaranty payment is complete, the rules will not be executed subsequently)
After the user issues the data tag set to the platform, and pays 1328 a guaranty.
1. Each time data is called, 5.312-element guarantee fund is transferred to the account for 100 times;
2. after 2 consecutive days, the user may apply for refund of a premium 239.04 yuan;
3. after 20 non-complaint transactions, the user can apply for refund of the security deposit 239.04 yuan;
4. after 100 consecutive days, the user can apply for refund of the security deposit 318.72 yuan;
in the application example, only the label system and the guarantee fund part thereof are involved, and the price setting, the use and the like of the metadata are irrelevant; the guarantee fund takes 'element' as a unit, is convenient to understand and is only used as a reference, and the most measured standards such as platform points, user credit and the like can be used in actual use; in addition, the method can be used for a non-centralized platform, such as a block chain network and the like, the management account of the security guarantee can use an intelligent contract account and the like, the account is directly managed by an intelligent contract (rule), no specific operator exists, and the method can be open and transparent to the platform and used as a common supervision; alternatively, the method may be used for a centralized platform.
The application example provided by the application ensures the data by means of the guarantee fund, overcomes the authority and effectiveness assumed by a data user only knowing the specific information of the data provider through a platform in the related technology, and provides quality guarantee for the data user to select the data; in addition, the return of the guarantee fund is determined by means of non-complaint information in the transaction process, the decision right of a user on a platform is improved, and the problem of weak platform complaint and complaint mechanisms in related technologies is solved.
Fig. 3 is a block diagram of a metadata management apparatus according to an embodiment of the present application. The apparatus shown in fig. 3 comprises:
the determining module 301 is configured to determine, when an operation request for tagging metadata on a platform by a user is received, an amount of a guarantee fund corresponding to the metadata tagged by the user request;
the management module 302 is configured to obtain and store a result of tagging the metadata by the user after detecting that the user delivers a deposit of a corresponding amount to a preset deposit management system.
In one exemplary embodiment, the apparatus further comprises:
the category determination module is used for determining the category to which the label belongs after obtaining the label generated by the labeling operation executed by the user before determining the amount of the guarantee fund corresponding to the metadata which is requested to be labeled by the user, wherein the category is a core label or an additional label; and when the category of the tag is the additional tag, determining the amount of the guaranty corresponding to the metadata requested to be labeled by the user.
In one exemplary embodiment, the apparatus further comprises:
the judging module is used for judging whether the content of the label added by the user meets the preset content screening condition or not after the content of the label is obtained before the amount of the guarantee fund corresponding to the metadata requested to be marked by the user is determined; and when the content of the tag meets the content screening condition, determining the amount of the guaranty corresponding to the metadata which is requested to be labeled by the user.
In an exemplary embodiment, the determining whether the content of the tag meets the preset content screening condition by at least one of the following manners includes:
if the content of the added label does not accord with a preset judgment strategy with a special meaning, determining that the content of the label meets the content screening condition;
if the length of the label added by the user is not more than the preset longest length, determining that the content of the label meets the content screening condition;
if the length of the label added by the user is not more than the preset longest length, analyzing the content of the label, determining the minimum unit of the key content comprising the label, taking the minimum unit as the content of the label, and recording that the content of the minimum unit meets the content screening condition.
In one exemplary embodiment, the apparatus further comprises:
the query module is used for searching whether a target word and the added label of the user accord with a preset similar word judgment strategy or not in the prestored labels before judging whether the content of the label meets the preset content screening condition or not and after obtaining the added label of the user; the similar word judgment strategy is used for determining the minimum unit of the similar words, the synonyms or the key contents comprising the labels added by the user;
and the prompting module is used for prompting the user to label the target word if the target word is found.
In an exemplary embodiment, the determining module is specifically configured to:
acquiring the number of the tags added by the user, and determining the guarantee money corresponding to the number of the tags added by the user according to the preset amount of the guarantee money corresponding to each tag;
alternatively, the first and second electrodes may be,
acquiring the content of each label added by the user, and determining the weight corresponding to each label according to the content of each label; acquiring the number of the labels added by the user, and determining the reference guarantee fund corresponding to the number of the labels according to the reference guarantee fund corresponding to the single label acquired in advance; and determining the guarantee fund of the label added by the user by using the weight corresponding to each label and the reference guarantee fund.
In an exemplary embodiment, the determining module determines the weight corresponding to each tag by:
acquiring the total value of metadata of the content containing the label in a metadata system and the total value of all the metadata;
and determining the weight of the label according to the total value of the metadata of the content containing the label and the total value of all the metadata.
In one exemplary embodiment, the apparatus further comprises:
and the returning module is used for executing the operation of returning the guarantee fund to the user when the transaction information of the metadata meets the preset transaction condition after the marking result of the user on the metadata is obtained and stored.
In an exemplary embodiment, the return module is specifically configured to:
in the transaction process of the metadata, recording the transaction information without complaints corresponding to the metadata;
judging whether the non-complaint transaction information corresponding to the metadata meets any judgment condition in the transaction conditions;
if the non-complaint transaction information corresponding to the metadata meets any judgment condition in the transaction conditions, returning the guarantee fund with the corresponding amount to the user according to the return proportion of the guarantee fund corresponding to the judgment condition;
the trading conditions comprise at least two judging conditions, each judging condition has a corresponding return proportion of the guarantee deposit, and the judging conditions are determined according to the non-complaint trading information in the trading process of the metadata.
The device that this application embodiment provided, when receiving the operation request that the user carried out the mark to the metadata on the platform, confirm the amount of money of the guarantee fund that the metadata that the user requested the mark corresponds to, and detect after the user pays the guarantee fund of corresponding amount of money to preset guarantee fund management system, acquire and save the user is right the mark result of metadata guarantees the mark quality to the metadata with the help of the guarantee fund to promote the quality of data, reduce the complaint rate of data transaction.
A computer-readable storage medium having stored thereon a computer program which, when executed, implements the steps of any of the methods described above.
Fig. 4 is a block diagram of a computer device provided in an embodiment of the present application. For example, the computer device 400 may be provided as a server. Referring to fig. 4, the computer apparatus 400 includes a processor 401, and the number of the processors may be set to one or more as necessary. The computer device 400 further comprises a memory 402 for storing instructions, e.g. application programs, executable by the processor 401. The number of the memories can be set to one or more according to needs. Which may store one or more application programs. The processor 401 is configured to execute instructions to perform the above-described method.
As will be appreciated by one skilled in the art, the embodiments herein may be provided as a method, apparatus (device), or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, including, but not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer, and the like. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as is well known to those of ordinary skill in the art.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments herein. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an article or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such article or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of another like element in an article or device that comprises the element.
While the preferred embodiments herein have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following appended claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of this disclosure.
It will be apparent to those skilled in the art that various changes and modifications may be made herein without departing from the spirit and scope thereof. Thus, it is intended that such changes and modifications be included herein, provided they come within the scope of the appended claims and their equivalents.
Claims (12)
1. A method for managing metadata, comprising:
when an operation request of a user for marking metadata on a platform is received, determining the amount of a guarantee fund corresponding to the metadata of which the user requests marking;
and acquiring and storing the labeling result of the user on the metadata after detecting that the user delivers the guarantee fund with the corresponding amount to a preset guarantee fund management system.
2. The method of claim 1, wherein prior to determining the amount of the wager corresponding to the user-requested tagged metadata, the method further comprises:
after obtaining a label generated by the user executing the labeling operation, determining a category to which the label belongs, wherein the category is a core label or an additional label;
and when the category of the tag is the additional tag, determining the amount of the guaranty corresponding to the metadata requested to be labeled by the user.
3. The method of claim 1 or 2, wherein prior to determining the amount of the wager corresponding to the user-requested annotated metadata, the method comprises:
after acquiring the content of a label added by a user, judging whether the content of the label meets a preset content screening condition;
and when the content of the tag meets the content screening condition, determining the amount of the guaranty corresponding to the metadata which is requested to be labeled by the user.
4. The method of claim 3, wherein determining whether the content of the tag meets a preset content screening condition by at least one of the following methods includes:
if the content of the added label does not accord with a preset judgment strategy with a special meaning, determining that the content of the label meets the content screening condition;
if the length of the label added by the user is not more than the preset longest length, determining that the content of the label meets the content screening condition;
if the length of the label added by the user is not more than the preset longest length, analyzing the content of the label, determining the minimum unit of the key content comprising the label, taking the minimum unit as the content of the label, and recording that the content of the minimum unit meets the content screening condition.
5. The method according to claim 3, wherein before the determining whether the content of the tag satisfies the preset content filtering condition, the method further comprises:
after the labels added by the user are obtained, whether a target word and the labels added by the user accord with a preset similar word judgment strategy or not is searched in the prestored labels; the similar word judgment strategy is used for determining the minimum unit of the similar words, the synonyms or the key contents comprising the labels added by the user;
and if the target word is found, prompting the user to label by using the target word.
6. The method of claim 1, wherein said determining an amount of a wager corresponding to the user-requested tagged metadata comprises:
acquiring the number of the tags added by the user, and determining the guarantee money corresponding to the number of the tags added by the user according to the preset amount of the guarantee money corresponding to each tag;
alternatively, the first and second electrodes may be,
acquiring the content of each label added by the user, and determining the weight corresponding to each label according to the content of each label; acquiring the number of the labels added by the user, and determining the reference guarantee fund corresponding to the number of the labels according to the reference guarantee fund corresponding to the single label acquired in advance; and determining the guarantee fund of the label added by the user by using the weight corresponding to each label and the reference guarantee fund.
7. The method of claim 6, wherein determining the weight corresponding to each tag comprises:
acquiring the total value of metadata of the content containing the label in a metadata system and the total value of all the metadata;
and determining the weight of the label according to the total value of the metadata of the content containing the label and the total value of all the metadata.
8. The method according to claim 1, wherein after obtaining and saving the labeling result of the user on the metadata, the method further comprises:
and when the transaction information of the metadata meets preset transaction conditions, executing the operation of returning a guarantee fund to the user.
9. The method of claim 8, wherein:
the transaction conditions comprise at least two judgment conditions, each judgment condition has a corresponding guarantee fund return proportion, and the judgment conditions are determined according to the non-complaint transaction information in the metadata transaction process;
when the transaction information of the metadata meets preset transaction conditions, the operation of returning a guarantee fund to the user is executed, and the operation comprises the following steps:
in the transaction process of the metadata, recording the transaction information without complaints corresponding to the metadata;
judging whether the non-complaint transaction information corresponding to the metadata meets any judgment condition in the transaction conditions;
and if the non-complaint transaction information corresponding to the metadata meets any judgment condition in the transaction conditions, returning the guarantee fund with the corresponding amount to the user according to the return proportion of the guarantee fund corresponding to the judgment condition.
10. An apparatus for managing metadata, comprising:
the system comprises a determining module, a determining module and a judging module, wherein the determining module is used for determining the amount of the guarantee deposit corresponding to metadata which is requested to be labeled by a user when receiving an operation request of labeling the metadata on a platform by the user;
and the management module is used for acquiring and storing the labeling result of the metadata by the user after detecting that the user delivers the guarantee fund with the corresponding amount to a preset guarantee fund management system.
11. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed, implements the steps of the method according to any one of claims 1-9.
12. A computer arrangement comprising a processor, a memory and a computer program stored on the memory, characterized in that the steps of the method according to any of claims 1-9 are implemented when the computer program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911376166.2A CN111339372B (en) | 2019-12-27 | 2019-12-27 | Metadata management method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911376166.2A CN111339372B (en) | 2019-12-27 | 2019-12-27 | Metadata management method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111339372A true CN111339372A (en) | 2020-06-26 |
| CN111339372B CN111339372B (en) | 2024-03-08 |
Family
ID=71185059
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911376166.2A Active CN111339372B (en) | 2019-12-27 | 2019-12-27 | Metadata management method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111339372B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117573956A (en) * | 2024-01-16 | 2024-02-20 | 中国电信股份有限公司深圳分公司 | Metadata management method, device, equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100274738A1 (en) * | 2007-05-10 | 2010-10-28 | Cornerstone Capital Systems | Guaranteed Principal Investment System, Product and Method |
| JP2016157187A (en) * | 2015-02-23 | 2016-09-01 | 株式会社野村総合研究所 | Bond trading settlement management system and bond trading settlement management method |
| CN107016602A (en) * | 2017-04-19 | 2017-08-04 | 国网冀北电力有限公司物资分公司 | The management method and management system of tender bond |
| CN108288160A (en) * | 2017-01-10 | 2018-07-17 | 中国移动通信集团贵州有限公司 | Method of payment and system based on credit evaluation guarantee |
| CN109146699A (en) * | 2018-08-08 | 2019-01-04 | 苏州酷外文化传媒有限公司 | Blind date friend-making integrated management approach and system based on block chain |
| CN110083787A (en) * | 2018-08-26 | 2019-08-02 | 王伟涛 | Marriage and making friend's method, server, user terminal, marriage and making friend's system |
-
2019
- 2019-12-27 CN CN201911376166.2A patent/CN111339372B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100274738A1 (en) * | 2007-05-10 | 2010-10-28 | Cornerstone Capital Systems | Guaranteed Principal Investment System, Product and Method |
| JP2016157187A (en) * | 2015-02-23 | 2016-09-01 | 株式会社野村総合研究所 | Bond trading settlement management system and bond trading settlement management method |
| CN108288160A (en) * | 2017-01-10 | 2018-07-17 | 中国移动通信集团贵州有限公司 | Method of payment and system based on credit evaluation guarantee |
| CN107016602A (en) * | 2017-04-19 | 2017-08-04 | 国网冀北电力有限公司物资分公司 | The management method and management system of tender bond |
| CN109146699A (en) * | 2018-08-08 | 2019-01-04 | 苏州酷外文化传媒有限公司 | Blind date friend-making integrated management approach and system based on block chain |
| CN110083787A (en) * | 2018-08-26 | 2019-08-02 | 王伟涛 | Marriage and making friend's method, server, user terminal, marriage and making friend's system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117573956A (en) * | 2024-01-16 | 2024-02-20 | 中国电信股份有限公司深圳分公司 | Metadata management method, device, equipment and storage medium |
| CN117573956B (en) * | 2024-01-16 | 2024-05-07 | 中国电信股份有限公司深圳分公司 | Metadata management method, device, equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111339372B (en) | 2024-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20020174017A1 (en) | Developing property tax data | |
| Trabelsi | IFRS 15 early adoption and accounting information: Case of real estate companies in Dubai | |
| CN112184302A (en) | Product recommendation method and device, rule engine and storage medium | |
| CN111339372A (en) | Metadata management method and device | |
| Evenett et al. | Throwing Sand in the Wheels: How Trade Distortions Slowed LDC Export-Led Growth | |
| Fleckenstein et al. | A review of data valuation approaches and building and scoring a data valuation model | |
| CN116957471B (en) | Intelligent retail service method, system, electronic equipment and storage medium | |
| CN112330266A (en) | Document generation method, device and medium | |
| CN107403374A (en) | A kind of data processing method and device | |
| KR102382379B1 (en) | System and method for providing ai bigdata estimation based on clutch engine | |
| CN114363179B (en) | Cost optimization method and device for cloud product | |
| CN108629623A (en) | A kind of cloud cash register trade company management platform | |
| CN116976800A (en) | Data processing method and device, storage medium and electronic equipment | |
| CN114693316A (en) | Contract processing method, contract processing device and storage medium | |
| Trott et al. | Adjusting the Australian Labour Share for Depreciation, Housing and Other Factors, 1960–2016 | |
| Liu et al. | Firm valuation over lifecycle: A perspective on growth option | |
| CN114841780B (en) | Digitalized customer service community intelligent management system based on big data analysis | |
| KR102512778B1 (en) | Group Mall Service Method and System | |
| CN109919571A (en) | Electronic device, contract cash flow test method and computer readable storage medium | |
| KR102350057B1 (en) | Apparatus and method for providing information on actual real estate transaction price | |
| CN108734461A (en) | The processing method and terminal device of pre-payment virtual resource | |
| Foster‐McGregor | On the Determinants of Investment in Sub‐S aharan African Manufacturing Firms | |
| CN107622421A (en) | Airline's passenger traffic promotional awards management system and method | |
| CN118051489A (en) | Knowledge sharing method and device based on blockchain intelligent contract and storage medium | |
| KR100727574B1 (en) | How to Provide Auction / Auction Information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |