CN112364055B - Service management software system and method - Google Patents
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Abstract
The application discloses a service management software system and a method, wherein the system comprises: the data source module is used for collecting first data and obtaining second data, the data market module is used for receiving the second data to obtain third data, the data warehouse module is used for receiving the third data and arranging the third data into three arrays, the three arrays are decomposed into matrixes, the data cube module is used for receiving the matrixes and marking metadata to form target data, the service module is used for collecting dictionary data, the data knowledge base module is used for receiving the target data and the dictionary data, establishing a first mapping from the target data to the data knowledge base module, establishing a second mapping from the dictionary data to the data knowledge base module, presetting configuration conditions to obtain final data from the target data and/or the dictionary data according to the configuration conditions, and storing a specified program into the data knowledge base module to form unified service management software. The service management software system and the method provided by the application realize a unified service management software platform.
Description
Technical Field
The application relates to the technical field of Internet, in particular to a service management software system and method.
Background
In the prior art, the concept of a data knowledge base comes from two different fields, one is the field of artificial intelligence and branch knowledge engineering thereof, and the other is the traditional database field. The generation and development of a knowledge base system are promoted by the organic combination of two computer technologies of artificial intelligence and a database. The lack of automation means, passive operation and maintenance, inefficiency, and the management pressure brought by large-scale IT facilities.
Disclosure of Invention
In view of the above, the application discloses a service management software system and a method for realizing a unified service management software platform, and solves the problems of lack of automation means, passive operation and maintenance, low efficiency and management pressure brought by large-scale IT facilities in the prior art.
In one aspect, the present application provides a service management software system comprising: the system comprises a data source module, a data mart module, a data warehouse module, a data cube module, a data knowledge base module and a service module;
the data source module is coupled with the data market module and is used for collecting first data, performing first processing on the first data to obtain second data, and sending the second data to the data market module;
the data market module is respectively coupled with the data source module and the data warehouse module, and is used for receiving the second data sent by the data source module, screening the second data to obtain third data, and sending the third data to the data warehouse module;
the data warehouse module is respectively coupled with the data market module and the data cube module and is used for receiving the third data sent by the data market module, arranging the third data into three paths of arrays, decomposing the three paths of arrays into matrixes and sending the matrixes to the data cube module;
the data cube module is respectively coupled with the data warehouse module and the data knowledge base, and is used for receiving the matrix sent by the data warehouse module, marking the metadata of the matrix to form target data, and sending the target data to the data knowledge base module;
the business module is coupled with the data knowledge base module and is used for collecting dictionary data and sending the dictionary data to the data knowledge base module;
the data knowledge base module is respectively coupled with the data cube module and the service module, and is used for receiving the target data sent by the data cube, receiving the dictionary data sent by the service module, establishing a first mapping from the target data to the data knowledge base module, establishing a second mapping from the dictionary data to the data knowledge base module, storing the target data into the data knowledge base module according to the first mapping, storing the dictionary data into the data knowledge base module according to the second mapping, presetting configuration conditions, acquiring final data from the target data and/or the dictionary data according to the configuration conditions, and storing the appointed program into the data knowledge base module to form unified service management software.
Preferably, the specified data is updated data of the target data and/or the dictionary data source.
Preferably, the first processing of the data source module includes data extraction and cleansing of the first data to form the second data.
Preferably, the data market module comprises a plurality of data market units, and keywords of each data market unit are different;
and the data market module screens the second data according to the keywords to obtain third data of the data market unit corresponding to the keywords.
Preferably, the data warehouse module arranges the third data into three-way arrays, decomposes the three-way arrays into matrices using high-order singular values, and transmits the matrices to the data cube module.
In another aspect, the present application provides a service management software method, including the steps of:
collecting first data, and performing first processing on the first data to obtain second data;
screening the second data to obtain third data;
arranging the third data into a three-way array, and decomposing the three-way array into a matrix;
labeling metadata of the matrix to form target data;
collecting dictionary data, establishing a first mapping from the target data to the data knowledge base module, establishing a second mapping from the dictionary data to the data knowledge base module, storing the target data into the data knowledge base module according to the first mapping, storing the dictionary data into the data knowledge base module according to the second mapping, issuing a configuration program to obtain final data from the target data and/or the dictionary data according to the configuration program, and storing the designated program into the data knowledge base module to form unified service management software.
Preferably, the specified data is updated data of the target data and/or the dictionary data source.
Preferably, the first processing includes data extraction and cleansing of the first data to form the second data.
Preferably, the step of screening the second data to obtain third data includes the steps of: and screening the second data according to the keywords to obtain third data of the data market unit corresponding to the keywords.
Preferably, decomposing the three-way array into a matrix includes the steps of: and decomposing the three-way array into a matrix by using high-order singular values.
Compared with the prior art, the service management software system and the method provided by the application have the following beneficial effects: the application collects data, performs data extraction and purification to form a data source, and extracts corresponding professional metadata from data categories to form a data mart; performing aggregation processing on the data marts, and providing data for a data warehouse; arranging data into three paths of arrays, and decomposing the three paths of arrays into a matrix mode of second-order tensors by using high-order singular value decomposition; labeling metadata of the data processed by the cubes to form a data knowledge base; the matching and merging logic is used for mapping dictionary data of the business system, unified analysis caliber and data service are provided, and the problems of lack of automation means, passive operation and maintenance, low efficiency and management pressure brought by large-scale IT facilities in the prior art are solved.
The technical scheme of the application is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a block diagram of a service management software system of the present application;
FIG. 2 is a flow chart of a method of service management software according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It should be noted that the embodiments described are merely some, but not all embodiments of the application and are merely illustrative in nature and in no way serve as any limitation to the application, its application, or uses. The scope of the application is defined by the appended claims.
Example 1:
referring to fig. 1, fig. 1 is a block diagram of a service management software system according to the present application; the system 100 includes: a data source module 1, a data mart module 2, a data warehouse module 3, a data cube module 4, a data knowledge base module 5 and a business module 6;
the data source module 1 is coupled with the data market module 2 and is used for collecting first data, performing first processing on the first data to obtain second data, and sending the second data to the data market module 2;
optionally, the first processing of the data source module 1 includes data extraction and cleansing of the first data to form second data.
The data market module 2 is coupled with the data source module 1 and the data warehouse module 3 respectively, and is used for receiving the second data sent by the data source module 1, screening the second data to obtain third data, and sending the third data to the data warehouse module 3;
optionally, the data market module 2 includes a plurality of data market units 21, and keywords of each data market unit 21 are different; the present application only schematically includes three data market units 21, but the number of the data market units 21 is not specifically required, and may be set according to the kind of specific keywords, which will not be described in detail below.
The data market module 2 screens the second data according to the keywords to obtain third data of the data market unit 21 corresponding to the keywords.
The data warehouse module 3 is coupled with the data market module 2 and the data cube module 4 respectively, and is used for receiving third data sent by the data market module 2, arranging the third data into three paths of arrays, decomposing the three paths of arrays into matrixes, and sending the matrixes to the data cube module 4;
the data cube module 4 is coupled with the data warehouse module 3 and the data knowledge base respectively, and is used for receiving the matrix sent by the data warehouse module 3, marking the matrix with metadata to form target data, and sending the target data to the data knowledge base module 5;
the business module 6 is coupled with the data knowledge base module 5 and is used for collecting dictionary data and sending the dictionary data to the data knowledge base module 5;
the data knowledge base module 5 is coupled with the data cube module 4 and the service module 6 respectively, and is used for receiving target data sent by the data cube, receiving dictionary data sent by the service module 6, establishing a first mapping from the target data to the data knowledge base module 5, establishing a second mapping from the dictionary data to the data knowledge base module 5, storing the target data into the data knowledge base module 5 according to the first mapping, storing the dictionary data into the data knowledge base module 5 according to the second mapping, presetting configuration conditions, acquiring final data from the target data and/or the dictionary data according to the configuration conditions, and storing a designated program into the data knowledge base module 5 to form unified service management software.
The final data is obtained from the target data according to the configuration conditions, or the final data is obtained from the dictionary data according to the configuration conditions, or the final data is obtained from the target data and the dictionary data according to the configuration conditions, and the final data can be specifically set according to actual situations.
Optionally, the designated data is the target data and/or the data updated by the dictionary data source.
Alternatively, the data warehouse module 3 arranges the third data into three-way arrays, and decomposes the three-way arrays into matrices using high-order singular values, and sends the matrices to the data cube module 4.
It will be appreciated that the data warehouse is an important data base that provides support for statistical analysis. The data sources of the data warehouse are obtained through calculation and aggregation processing of the data center. Meanwhile, the data warehouse also provides a data source for building the data marts.
A data mart is a repository that gathers data from operational data and other sources of data that serve a particular community of professionals. Data is extracted from databases, data warehouses, or more specialized data warehouses in terms of scope.
An arrangement of data in the same direction is called a way array. The scalar is a representation of a zero-way array, the row and column vectors are an array of one way with data arranged in both horizontal and vertical directions, respectively, and the matrix is a two-way array with data arranged in both horizontal and vertical directions. Tensors are multiple array representations of data, which are an extension of the matrix. The most common tensor is the third order tensor. The third-order tensor is also called a three-dimensional matrix. The square third-order tensors of the same dimension are called cubes.
Metadata is a statement made about some potentially informative object. The schema of metadata refers to a rule set that specifies which types of main predicate statements are allowed and how such statements are made. In the metadata schema, an element is a statement made about a resource, and may also be used to name a property of the resource. A value is data assigned to a certain element.
The service management software system provided by the application collects data, performs data extraction and purification to form a data source, and extracts corresponding professional metadata from data categories to form a data mart; performing aggregation processing on the data marts, and providing data for a data warehouse; arranging data into three paths of arrays, and decomposing the three paths of arrays into a matrix mode of second-order tensors by using high-order singular value decomposition; labeling metadata of the data processed by the cubes to form a data knowledge base; the matching and merging logic is used for mapping dictionary data of the business system, unified analysis caliber and data service are provided, and the problems of lack of automation means, passive operation and maintenance, low efficiency and management pressure brought by large-scale IT facilities in the prior art are solved.
Example 2: FIG. 2 is a flow chart of a method of service management software according to the present application. The method comprises the following steps:
step 101: collecting first data, and performing first processing on the first data to obtain second data;
in step 101, optionally, the first processing includes data extraction and cleansing of the first data to form second data.
Step 102: and screening the second data to obtain third data.
In step 102, optionally, the second data is filtered to obtain third data, which includes the steps of: and screening the second data according to the keywords to obtain third data of the data market unit corresponding to the keywords.
Step 103: arranging the third data into three-way arrays and decomposing the three-way arrays into matrixes;
step 104: labeling the matrix with metadata to form target data;
step 105: collecting dictionary data, establishing a first mapping from target data to a data knowledge base module, establishing a second mapping from the dictionary data to the data knowledge base module, storing the target data into the data knowledge base module according to the first mapping, storing the dictionary data into the data knowledge base module according to the second mapping, issuing a configuration program to obtain final data from the target data and/or the dictionary data according to the configuration program, and storing a designated program into the data knowledge base module to form unified service management software.
In step 105: optionally, the designated data is the target data and/or the data updated by the dictionary data source.
Optionally, decomposing the three-way array into a matrix includes the steps of: and decomposing the three-way array into a matrix by using the high-order singular values.
It will be appreciated that the data warehouse is an important data base that provides support for statistical analysis. The data sources of the data warehouse are obtained through calculation and aggregation processing of the data center. Meanwhile, the data warehouse also provides a data source for building the data marts.
A data mart is a repository that gathers data from operational data and other sources of data that serve a particular community of professionals. Data is extracted from databases, data warehouses, or more specialized data warehouses in terms of scope.
An arrangement of data in the same direction is called a way array. The scalar is a representation of a zero-way array, the row and column vectors are an array of one way with data arranged in both horizontal and vertical directions, respectively, and the matrix is a two-way array with data arranged in both horizontal and vertical directions. Tensors are multiple array representations of data, which are an extension of the matrix. The most common tensor is the third order tensor. The third-order tensor is also called a three-dimensional matrix. The square third-order tensors of the same dimension are called cubes.
Metadata is a statement made about some potentially informative object. The schema of metadata refers to a rule set that specifies which types of main predicate statements are allowed and how such statements are made. In the metadata schema, an element is a statement made about a resource, and may also be used to name a property of the resource. A value is data assigned to a certain element.
The service management software method provided by the application collects data, performs data extraction and purification to form a data source, and extracts corresponding professional metadata from data categories to form a data mart; performing aggregation processing on the data marts, and providing data for a data warehouse; arranging data into three paths of arrays, and decomposing the three paths of arrays into a matrix mode of second-order tensors by using high-order singular value decomposition; labeling metadata of the data processed by the cubes to form a data knowledge base; the matching and merging logic is used for mapping dictionary data of the business system, unified analysis caliber and data service are provided, and the problems of lack of automation means, passive operation and maintenance, low efficiency and management pressure brought by large-scale IT facilities in the prior art are solved.
According to the above embodiments, the beneficial effects of the application are as follows:
compared with the prior art, the service management software system and the method provided by the application have the following beneficial effects: the application collects data, performs data extraction and purification to form a data source, and extracts corresponding professional metadata from data categories to form a data mart; performing aggregation processing on the data marts, and providing data for a data warehouse; arranging data into three paths of arrays, and decomposing the three paths of arrays into a matrix mode of second-order tensors by using high-order singular value decomposition; labeling metadata of the data processed by the cubes to form a data knowledge base; the matching and merging logic is used for mapping dictionary data of the business system, unified analysis caliber and data service are provided, and the problems of lack of automation means, passive operation and maintenance, low efficiency and management pressure brought by large-scale IT facilities in the prior art are solved.
While certain specific embodiments of the present application have been described in detail above by way of example with reference to the accompanying drawings and examples, it will be understood by those skilled in the art that the foregoing examples are for the purpose of illustration only and are not intended to limit the scope of the application. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the techniques described in the foregoing embodiments, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application. The scope of the application is defined by the appended claims.
Claims (10)
1. A service management software system, comprising: the system comprises a data source module, a data mart module, a data warehouse module, a data cube module, a data knowledge base module and a service module;
the data source module is coupled with the data market module and is used for collecting first data, performing first processing on the first data to obtain second data, and sending the second data to the data market module;
the data market module is respectively coupled with the data source module and the data warehouse module, and is used for receiving the second data sent by the data source module, screening the second data to obtain third data, and sending the third data to the data warehouse module;
the data warehouse module is respectively coupled with the data market module and the data cube module and is used for receiving the third data sent by the data market module, arranging the third data into three paths of arrays, decomposing the three paths of arrays into matrixes and sending the matrixes to the data cube module;
the data cube module is respectively coupled with the data warehouse module and the data knowledge base, and is used for receiving the matrix sent by the data warehouse module, marking the metadata of the matrix to form target data, and sending the target data to the data knowledge base module;
the business module is coupled with the data knowledge base module and is used for collecting dictionary data and sending the dictionary data to the data knowledge base module;
the data knowledge base module is respectively coupled with the data cube module and the service module, and is used for receiving the target data sent by the data cube, receiving the dictionary data sent by the service module, establishing a first mapping from the target data to the data knowledge base module, establishing a second mapping from the dictionary data to the data knowledge base module, storing the target data into the data knowledge base module according to the first mapping, storing the dictionary data into the data knowledge base module according to the second mapping, presetting configuration conditions, acquiring final data from the target data and/or the dictionary data according to the configuration conditions, storing a designated program into the data knowledge base module, and forming unified service management software.
2. The service management software system according to claim 1, wherein the final data is the target data and/or the dictionary data source updated data.
3. The service management software system of claim 1, wherein the first processing of the data source module comprises data extraction and cleansing of the first data to form the second data.
4. The service management software system of claim 1, wherein the data market module comprises a plurality of data market units, each of the data market units having a different keyword;
and the data market module screens the second data according to the keywords to obtain third data of the data market unit corresponding to the keywords.
5. The service management software system of claim 1, wherein the data warehouse module arranges the third data into a three-way array and decomposes the three-way array into matrices using high-order singular values and sends the matrices to the data cube module.
6. A method of service management software, comprising the steps of:
collecting first data by using a data source module, and performing first processing on the first data to obtain second data;
screening the second data by using a data market module to obtain third data;
arranging the third data into three arrays by using a data warehouse module, and decomposing the three arrays into matrixes;
the matrix is marked with metadata by utilizing a data cube module to form target data;
collecting dictionary data by using a service module, establishing a first mapping from the target data to the data knowledge base module by using a data knowledge base module, establishing a second mapping from the dictionary data to the data knowledge base module, storing the target data into the data knowledge base module according to the first mapping, storing the dictionary data into the data knowledge base module according to the second mapping, and issuing a configuration program to obtain final data from the target data and/or the dictionary data according to the configuration program, and storing a designated program into the data knowledge base module to form unified service management software.
7. The service management software method according to claim 6, wherein the final data is the target data and/or the dictionary data source updated data.
8. The service management software method of claim 6, wherein the first processing comprises data extraction and cleansing of the first data to form the second data.
9. The service management software method according to claim 6, wherein the step of filtering the second data to obtain third data includes the steps of:
and screening the second data according to the keywords to obtain third data of the data market unit corresponding to the keywords.
10. The service management software method according to claim 6, wherein decomposing the three-way array into a matrix comprises the steps of:
and decomposing the three-way array into a matrix by using high-order singular values.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101493820A (en) * | 2008-01-25 | 2009-07-29 | 北京华深慧正系统工程技术有限公司 | Medicine Regulatory industry knowledge base platform and construct method thereof |
| CN104346377A (en) * | 2013-07-31 | 2015-02-11 | 克拉玛依红有软件有限责任公司 | Method for integrating and exchanging data on basis of unique identification |
| CN106874643A (en) * | 2016-12-27 | 2017-06-20 | 中国科学院自动化研究所 | Build the method and system that knowledge base realizes assisting in diagnosis and treatment automatically based on term vector |
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| CN107729450A (en) * | 2017-10-09 | 2018-02-23 | 上海德衡数据科技有限公司 | A kind of intelligent region portable medical integrated data centring system prototype based on metadata |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101493820A (en) * | 2008-01-25 | 2009-07-29 | 北京华深慧正系统工程技术有限公司 | Medicine Regulatory industry knowledge base platform and construct method thereof |
| CN104346377A (en) * | 2013-07-31 | 2015-02-11 | 克拉玛依红有软件有限责任公司 | Method for integrating and exchanging data on basis of unique identification |
| CN106874643A (en) * | 2016-12-27 | 2017-06-20 | 中国科学院自动化研究所 | Build the method and system that knowledge base realizes assisting in diagnosis and treatment automatically based on term vector |
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