CN109857822A - Meta-model conversion method and management system based on chart database - Google Patents
Meta-model conversion method and management system based on chart database Download PDFInfo
- Publication number
- CN109857822A CN109857822A CN201811634144.7A CN201811634144A CN109857822A CN 109857822 A CN109857822 A CN 109857822A CN 201811634144 A CN201811634144 A CN 201811634144A CN 109857822 A CN109857822 A CN 109857822A
- Authority
- CN
- China
- Prior art keywords
- metadata
- information
- meta
- relationship
- chart database
- 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.)
- Pending
Links
Abstract
The invention discloses a kind of meta-model conversion method and management system based on chart database, the meta-model conversion method includes: to carry out processing to metadata essential information, management information and metadata relationship information to generate diagram data, wherein, diagram data includes metadata node information and metadata node relation information；The diagram data of generation is stored in graphic data base to be used to generate metadata map.Above-mentioned technical proposal of the invention is able to solve the storage problem of under big data era variety classes, different grain size metadata, and the relationship for capableing of carry out metadata rapidly and efficiently is searched and analysis, has obtained the promotion of matter to the analysis of the relationship between metadata；It solves the problems, such as the service efficiency of magnanimity metadata by graphic data base, solves the problems, such as the search efficiency of metadata；The metadata information also intuitively to show provides the foundation simultaneously.
Description
Technical field
The present invention relates to a kind of meta-model conversion method and management system based on chart database.
Background technique
With the arrival of big data era and the sustainable development of each business event, quantity, the type of data are more and more,
Relationship between data becomes increasingly complex, and the application scenarios of data are also from traditional statistical analysis, till now based on big data
Machine learning, knowledge mapping etc..The depth of data excavate use, data to the promotion of business, data in Fang Fang such as enterprise operations
Face face plays increasingly important role, and data assets have gradually become one of the core asset of enterprise.
Metadata is the data about data, is that data are described, explain, position and made with its more convenient retrieval, is made
With or management data.Metadata is the basis of data share, exchange, analyze, used, and big data necessarily leads to magnanimity member number
According to, metadata becomes more important, metadata storage, management, use, analysis quality, directly determine that data application is being looked forward to
Quality in industry.It only runs metadata well, can just make good use of data.Traditional metadata management is realized based on relevant database
, the browsing of metadata relationship in traditional metadata management system is primarily present following problems under big data era:
(1) type of metadata, quantity are more and more in big data era, and the data of magnanimity necessarily lead to first number of magnanimity
According to the management of traditional metadata still depends on relational database, it is clear that be unable to satisfy magnanimity variety classes, different grain size member
The storage of data.
(2) relationship of metadata becomes increasingly complex, the prevailing scenario that the analysis of metadata uses first is that metadata into
Row consanguinity analysis or impact analysis, the root of rapidly locating because.The pass that conventional metadata management passes through table in relational database
Join influence and consanguinity analysis that recursive query realizes metadata, in the case where magnanimity metadata, efficiency is very low, to complicated member
The relationship analysis of data even cannot achieve, and be unable to satisfy the demand of user.
(3) management of traditional metadata can not quickly position metadata, displaying metadata information that can not be clear.
Summary of the invention
In view of the above problems in the related art, the present invention propose a kind of meta-model conversion method based on chart database and
Management system is able to solve the storage problem of magnanimity metadata, solves the problems, such as the search efficiency of metadata.
The technical scheme of the present invention is realized as follows:
According to an aspect of the invention, there is provided a kind of meta-model conversion method based on chart database, comprising:
Processing is carried out to metadata essential information, management information and metadata relationship information and generates diagram data, wherein figure number
According to including metadata node information and metadata node relation information；
The diagram data of generation is stored in graphic data base to be used to generate metadata map.
According to an embodiment of the invention, metadata node information includes nodal information, attribute information and label information.
According to an embodiment of the invention, metadata node relation information includes fundamental relation information and secondary relationship information.
According to an embodiment of the invention, adding to metadata essential information, management information and metadata relationship information
Work includes: classification processing, statistical analysis, position distribution, label is established, relationship conversion, level divides and attribute mapping.
According to an embodiment of the invention, meta-model conversion method further include: synchronous metadata essential information, management information and
Metadata relationship information.
According to another aspect of the present invention, a kind of meta-model management system based on chart database is provided, including following
Module: metadata processing module, for carrying out processing generation to metadata essential information, management information and metadata relationship information
Diagram data, wherein diagram data includes metadata node information and metadata node relation information；Metadata storage module is used for
The diagram data of generation is stored in graphic data base to be used to generate metadata map.
According to an embodiment of the invention, metadata node information includes nodal information, attribute information and label information.
According to an embodiment of the invention, metadata node relation information includes fundamental relation information and secondary relationship information.
According to an embodiment of the invention, metadata processing module include: classification processing submodule, statistical analysis submodule,
Position distribution sub module, label setting up submodule, relationship transform subblock, level divide submodule and attribute mapping submodule.
According to an embodiment of the invention, meta-model management system further include: metadata synchronization module, for synchronizing metadata
Essential information and metadata relationship information.
The present invention by graphic data base, close by the metadata node information and metadata node that can store magnanimity metadata
It is information, can be good at the storage for solving relationship between metadata, to solves under big data era variety classes, no
The storage problem of one-size metadata.In addition, relationship complicated between metadata has been stored in advance by graphic data base, lead to
Cross the graph traversal algorithm of graphic data base, the relationship for capableing of carry out metadata rapidly and efficiently is searched and analysis, not only efficiency and
Conventional metadata system has magnitude promotion, and has obtained the promotion of matter to the analysis of the relationship between metadata.Therefore, pass through
Graphic data base solves the problems, such as the service efficiency of magnanimity metadata, solves the problems, such as the search efficiency of metadata.Simultaneously
Metadata information intuitively to show provides the foundation.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the flow chart of the meta-model conversion method according to an embodiment of the present invention based on chart database；
Fig. 2 is the block diagram of the meta-model management system according to an embodiment of the present invention based on chart database；
Fig. 3 is the work flow diagram of meta-model management system according to an embodiment of the present invention；
Fig. 4 is the flow process chart of the metadata of meta-model management system according to an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art's every other embodiment obtained belong to what the present invention protected
Range.
As shown in Figure 1, the present invention provides a kind of meta-model conversion method based on chart database, comprising the following steps:
Step S10 carries out processing to metadata essential information, management information and metadata relationship information and generates diagram data,
Wherein, diagram data includes metadata node information and metadata node relation information；
The diagram data of generation is stored in graphic data base to be used to generate metadata map by step S20.
Above-mentioned technical proposal of the invention can store the metadata node letter of magnanimity metadata by graphic data base
Breath and metadata node relation information can be good at the storage for solving relationship between metadata, to solve in big data
The storage problem of variety classes under epoch, different grain size metadata.In addition, the inquiry of conventional metadata because underlying database also
It is relational database, needs to realize by recursive algorithm when retrieving metadata relationship, the present invention passes through graphic data base,
Relationship complicated between metadata has been stored in advance, it, being capable of progress rapidly and efficiently by the graph traversal algorithm of graphic data base
The relationship of metadata is searched and analysis, and not only efficiency and conventional metadata system have magnitude promotion, but also between metadata
The analysis of relationship has obtained the promotion of matter.Therefore, it solves the problems, such as the service efficiency of magnanimity metadata by graphic data base, solves
The problem of search efficiency for metadata of having determined.The metadata information also intuitively to show provides the foundation simultaneously.
Wherein, metadata node information includes nodal information, attribute information and label information.Metadata node relation information
Including fundamental relation information and secondary relationship information.Specifically, in traditional meta-model, the table and field of metadata are to deposit
Storage in different places, some be relational database table, some be Excel, some even store in the text.And in diagram data
In model, all metadata essential informations and label are all processed into the attribute of node and node, and metadata relationship is processed into member
Back end relationship.For example, label can be established respectively to table and field in the metadata process to table and field, simultaneously
Establish the relation information of table and field.Such as: field number that table includes, the type of table, meta data category information of table etc.；
Table information, the meta data category information of field etc. of field ownership.In embodiments of the present invention, metadata information is to figure number
Include two parts according to the conversion in library: first part is that traditional metadata information is processed the metadata section being converted into diagram data
Point information, including nodal information, attribute information and label information；Second part is the relationship processing between the metadata that will disperse
The metadata node relation information being converted into diagram data, including fundamental relation information and secondary relationship information.
In step slo, processing metadata essential information and metadata relationship information carried out include: classification processing,
Statistical analysis, position distribution, label is established, relationship conversion, level divides and attribute mapping.Conventional metadata results from different
System, the needs such as attribute, relationship, the label of metadata could be used by a large amount of arrangement, and these metadata are substantially
Discrete not related data.The present invention provides standard set data processing, the process of label is converted and establishes, so that
Inhomogeneous metadata can be quickly converted as the diagram data in graphic data base by the normal process, that is, forms graph data
Nodal information, attribute information, label information and metadata node relation information in library.To which how solve will be traditional
Metadata standard is converted into the problem of graphic data base.
It can be the following steps are included: synchronous metadata essential information and metadata relationship information before step S10.
As shown in Fig. 2, according to an embodiment of the invention, additionally providing a kind of meta-model management system based on chart database
System, including metadata processing module 22 and the metadata storage module 23 communicated to connect with metadata processing module 22.Wherein, first
Data mart modeling module 22 is used to carry out metadata essential information, management information and metadata relationship information processing generation figure number
According to, wherein diagram data includes metadata node information and metadata node relation information；Metadata storage module 23 will be for that will give birth to
At diagram data be stored in graphic data base with for generating metadata map.
Above-mentioned technical proposal of the invention can store the metadata node letter of magnanimity metadata by graphic data base
Breath and metadata node relation information can be good at the storage for solving relationship between metadata, to solve in big data
The storage problem of variety classes under epoch, different grain size metadata.In addition, the inquiry of conventional metadata because underlying database also
It is relational database, needs to realize by recursive algorithm when retrieving metadata relationship, the present invention passes through graphic data base,
Relationship complicated between metadata has been stored in advance, it, being capable of progress rapidly and efficiently by the graph traversal algorithm of graphic data base
The relationship of metadata is searched and analysis, and not only efficiency and conventional metadata system have magnitude promotion, but also between metadata
The analysis of relationship has obtained the promotion of matter.Therefore, it solves the problems, such as the service efficiency of magnanimity metadata by graphic data base, solves
The problem of search efficiency for metadata of having determined.The metadata information also intuitively to show provides the foundation simultaneously.
With continued reference to shown in Fig. 2, meta-model management system of the invention further include: metadata synchronization module 21, for same
Walk metadata essential information and metadata relationship information.
Wherein, metadata node information includes nodal information, attribute information and label information.Metadata node relation information
Including fundamental relation information and secondary relationship information.
As shown in figure 3, meta-model management system of the invention is according to following step to the metadata process flow of big data
Suddenly it is handled:
S31 carries out the acquisition synchronous with metadata relationship information of external metadata essential information by metadata synchronization module.
After metadata synchronizes successfully, metadata processing module is transferred to carry out data mart modeling metadata information；
S32 carries out metadata processing by metadata processing module, the metadata synchronously completed is processed into metadata map
Base map and figure layer data.
S33, by the base map and figure layer data of metadata storage module storage metadata map.
As shown in figure 4, metadata processing module can include: classification processing submodule, statistical analysis submodule, position distribution
Submodule, label setting up submodule, relationship transform subblock, level divide submodule and attribute mapping submodule, so that
Metadata processing module realizes that the classification of metadata is processed, statistical analysis, position is distributed, label is established, relationship conversion, level stroke
Divide and the functions such as attribute mapping.The metadata essential information of dispersion and metadata relationship Information procession are stored at graphic data base
Nodal information, relation information and label information, while the attribute of metadata being mapped, forms the attribute information of node.
Metadata needs to carry out classification processing, statistical analysis, position distribution, label foundation, relationship conversion, level division, attribute mapping
It just can enter graph data after standardization Deng seven steps.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of meta-model conversion method based on chart database characterized by comprising
Processing is carried out to metadata essential information, management information and metadata relationship information and generates diagram data, wherein the figure number
According to including metadata node information and metadata node relation information；By the diagram data of generation be stored in graphic data base with
In generation metadata map.
2. the meta-model conversion method according to claim 1 based on chart database, which is characterized in that the metadata section
Point information includes nodal information, attribute information and label information.
3. the meta-model conversion method according to claim 1 based on chart database, which is characterized in that the metadata section
Point relation information includes fundamental relation information and secondary relationship information.
4. the meta-model conversion method according to claim 1 based on chart database, which is characterized in that basic to metadata
The processing that information, management information and metadata relationship information carry out includes: classification processing, statistical analysis, position distribution, mark
Label are established, relationship conversion, level divides and attribute mapping.
5. the meta-model conversion method according to claim 1 based on chart database, which is characterized in that further include: it is synchronous
The metadata essential information, management information and the metadata relationship information.
6. a kind of meta-model management system based on chart database, which is characterized in that comprise the following modules:
Metadata processing module, for carrying out processing generation to metadata essential information, management information and metadata relationship information
Diagram data, wherein the diagram data includes metadata node information and metadata node relation information；
Metadata storage module, for the diagram data of generation being stored in graphic data base to be used to generate metadata map.
7. the meta-model management system according to claim 6 based on chart database, which is characterized in that the metadata section
Point information includes nodal information, attribute information and label information.
8. the meta-model management system according to claim 6 based on chart database, which is characterized in that the metadata section
Point relation information includes fundamental relation information and secondary relationship information.
9. the meta-model management system according to claim 6 based on chart database, which is characterized in that the metadata adds
Work module includes: classification processing submodule, statistical analysis submodule, position distribution sub module, label setting up submodule, relationship turn
Change submodule, level divides submodule and attribute mapping submodule.
10. the meta-model management system according to claim 6 based on chart database, which is characterized in that further include:
Metadata synchronization module, for synchronizing the metadata essential information and the metadata relationship information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811634144.7A CN109857822A (en) | 2018-12-29 | 2018-12-29 | Meta-model conversion method and management system based on chart database |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811634144.7A CN109857822A (en) | 2018-12-29 | 2018-12-29 | Meta-model conversion method and management system based on chart database |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109857822A true CN109857822A (en) | 2019-06-07 |
Family
ID=66893270
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811634144.7A Pending CN109857822A (en) | 2018-12-29 | 2018-12-29 | Meta-model conversion method and management system based on chart database |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109857822A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110287223A (en) * | 2019-06-24 | 2019-09-27 | 北京明略软件系统有限公司 | Information storage means and device, electronic device and storage medium |
| CN110516130A (en) * | 2019-08-28 | 2019-11-29 | 北京明略软件系统有限公司 | Metadata processing method and device, storage medium, electronic device |
| CN110851663A (en) * | 2019-11-05 | 2020-02-28 | 北京明略软件系统有限公司 | Method and apparatus for managing metadata |
| CN117312331A (en) * | 2023-12-01 | 2023-12-29 | 浪潮云信息技术股份公司 | Metadata blood-edge analysis method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102193990A (en) * | 2011-03-25 | 2011-09-21 | 北京世纪互联工程技术服务有限公司 | Pattern database and realization method thereof |
| US20140201234A1 (en) * | 2013-01-15 | 2014-07-17 | Fujitsu Limited | Data storage system, and program and method for execution in a data storage system |
| CN104142980A (en) * | 2014-07-15 | 2014-11-12 | 中电科华云信息技术有限公司 | Big data-based metadata model management system and method |
| CN108595588A (en) * | 2018-04-19 | 2018-09-28 | 中国科学院电子学研究所苏州研究院 | A kind of science data storage correlating method |
| CN108920716A (en) * | 2018-07-27 | 2018-11-30 | 中国电子科技集团公司第二十八研究所 | The data retrieval and visualization system and method for knowledge based map |
-
2018
- 2018-12-29 CN CN201811634144.7A patent/CN109857822A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102193990A (en) * | 2011-03-25 | 2011-09-21 | 北京世纪互联工程技术服务有限公司 | Pattern database and realization method thereof |
| US20140201234A1 (en) * | 2013-01-15 | 2014-07-17 | Fujitsu Limited | Data storage system, and program and method for execution in a data storage system |
| CN104142980A (en) * | 2014-07-15 | 2014-11-12 | 中电科华云信息技术有限公司 | Big data-based metadata model management system and method |
| CN108595588A (en) * | 2018-04-19 | 2018-09-28 | 中国科学院电子学研究所苏州研究院 | A kind of science data storage correlating method |
| CN108920716A (en) * | 2018-07-27 | 2018-11-30 | 中国电子科技集团公司第二十八研究所 | The data retrieval and visualization system and method for knowledge based map |
Non-Patent Citations (1)
| Title |
|---|
| 李亚东: "《基于本体模型的科技信息知识库管理系统研究与实现》", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110287223A (en) * | 2019-06-24 | 2019-09-27 | 北京明略软件系统有限公司 | Information storage means and device, electronic device and storage medium |
| CN110516130A (en) * | 2019-08-28 | 2019-11-29 | 北京明略软件系统有限公司 | Metadata processing method and device, storage medium, electronic device |
| CN110851663A (en) * | 2019-11-05 | 2020-02-28 | 北京明略软件系统有限公司 | Method and apparatus for managing metadata |
| CN117312331A (en) * | 2023-12-01 | 2023-12-29 | 浪潮云信息技术股份公司 | Metadata blood-edge analysis method, device, equipment and storage medium |
| CN117312331B (en) * | 2023-12-01 | 2024-03-29 | 浪潮云信息技术股份公司 | Metadata blood-edge analysis method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109857822A (en) | Meta-model conversion method and management system based on chart database | |
| US7418438B2 (en) | Automated default dimension selection within a multidimensional enterprise software system | |
| US7505888B2 (en) | Reporting model generation within a multidimensional enterprise software system | |
| US7593955B2 (en) | Generation of aggregatable dimension information within a multidimensional enterprise software system | |
| CN105183917A (en) | Multi-dimensional analysis method for multi-level storage data | |
| CN106933833B (en) | Method for quickly querying position information based on spatial index technology | |
| CN106547809A (en) | Complex relation is represented in chart database | |
| CN109902117B (en) | Business system analysis method and device | |
| US9753960B1 (en) | System, method, and computer program for dynamically generating a visual representation of a subset of a graph for display, based on search criteria | |
| CN106611053B (en) | Data cleaning and indexing method | |
| US9201700B2 (en) | Provisioning computer resources on a network | |
| CN102917009B (en) | A kind of stock certificate data collection based on cloud computing technology and storage means and system | |
| CN111506621B (en) | Data statistical method and device | |
| CN103617175A (en) | Method for virtualization of large-scale distributed heterogeneous data | |
| CN104794221A (en) | Multi-dimensional data analyzing system based on service objects | |
| CN104391908B (en) | Multiple key indexing means based on local sensitivity Hash on a kind of figure | |
| CN106547646B (en) | Data backup and recovery method and data backup and recovery device | |
| CN103177103A (en) | Three-dimensional geographical information system management platform | |
| CN103823846A (en) | Method for storing and querying big data on basis of graph theories | |
| CN107741982A (en) | A kind of coordinate and administrative region matching system and method | |
| CN103856462A (en) | Method and system for managing sessions | |
| CN114218291A (en) | Portrait generation method, apparatus, device and storage medium based on target object | |
| CN110134511A (en) | A kind of shared storage optimization method of OpenTSDB | |
| CN101916260A (en) | Method for establishing semantic mapping between disaster body and relational database | |
| CN110209749A (en) | A kind of geographical information query method and device based on HBase |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190607 |
|
| RJ01 | Rejection of invention patent application after publication |