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A method for intelligent construction and inventory of data asset catalog
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A data asset and directory technology, applied in relational databases, database models, structured data retrieval, etc., can solve problems such as difficult metadata semantics and directory identification and verification, difficulty in advancing enterprise data governance, and increased manual processing work
Active Publication Date: 2021-10-26
四川国路安数据技术有限公司
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Problems solved by technology
[0002] Due to historical reasons and the long-term periodicity of enterprise information construction, there are errors and missing phenomena in the business system metadata or data dictionaries of a large number of enterprises, which makes it difficult to advance the follow-up enterprise data governance work
Traditionally, a large number of manual operations are used, and it is difficult to accurately complete large-scale metadata semantics and directory identification and verification
The inherent complexity of the system or errors in the process of data acquisition, processing, analysis and presentation will lead to a dramatic increase in manual processing
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Embodiment 1
[0108] Such as image 3 As shown, the data asset catalog intelligent construction inventory method provided by the embodiment of the present application includes the following steps:
[0109] P1. Use the character extraction method to cut and extract the operation log text data of various types of inventory catalog systems;
[0110] P2. Using Elasticsearch, use the content extracted in step P1 to perform full-text search;
[0111] P3. Calculate the distance between the operation logs of the inventory directory system, and based on this, cluster the operation logs of the inventory directory system to form several log clusters, and generate corresponding function items from each log cluster to form a function list;
[0112] P4. Summarize the list of all functions in the catalog system, form a function catalog, and use the knowledge map to represent;
[0113] P5. Carry out multi-relational network data modeling for the interaction of each entity relationship in the knowledge gr...
Embodiment 2
[0136] Such as Figure 4 As shown, the data asset catalog intelligent construction inventory method provided by the embodiment of the present application includes the following steps:
[0137] T1. Use the character extraction method to cut and extract the operation log text data of various types of inventory catalog systems;
[0138] T2. Use Elasticsearch to perform full-text search using the content extracted in step T1;
[0139] T3. Count the items in each operation log position in the inventory catalog system; select frequently occurring items as function candidates; and select function items among the function candidates;
[0140] T4. Summarize the list of all functions in the catalog system, form a function catalog, and use the knowledge graph to represent;
[0141] T5. Carry out multi-relational network data modeling for the interaction of each entity relationship in the knowledge map obtained in T4, transform the relationship prediction into tensor decomposition, and ...
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Abstract
The present application provides a method for intelligently constructing an inventory of a data asset directory, which relates to the technical field of data asset management. This application comprehensively utilizes the inventory catalog system operation log data, metadata, inventory catalog system database data log data, and inventory catalog system business specification description documents, and uses machine learning, knowledge representation, knowledge reasoning, knowledge fusion and other technical means to build and display Inventory catalog system function catalog showing the corresponding relationship between inventory catalog system database table fields and functions, and inventory catalog system business catalog showing the correspondence relationship between inventory catalog system database table fields and business. Based on the database table fields of the inventory catalog system, further knowledge fusion and knowledge reasoning processing are performed on the inventory catalog system function catalog and the inventory catalog system business catalog, and the dictionary of the table fields and the corresponding table fields can be generated while confirming the function and business content. metadata, resulting in a complete catalog of data assets.
Description
technical field [0001] The present application relates to the technical field of data asset management, in particular to a method for intelligently building and inventorying a data asset directory. Background technique [0002] Due to historical reasons and the long-term problems of enterprise informatization construction, there are errors and missing phenomena in the business system metadata or data dictionaries of a large number of enterprises, which makes it difficult to advance the follow-up enterprise data governance work. Traditionally, a large number of manual operations are used, and it is difficult to accurately complete large-scale metadata semantic and directory identification and verification. The inherent complexity of the system or the errors in the process of data acquisition, processing, analysis and presentation will lead to a dramatic increase in manual processing. How to use artificial intelligence and automation to realize the automatic generation and ve...
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