XML metadata objectification analysis method and system

Abstract

The invention discloses an XML metadata objectification analytic method, a data element in XML data is defined according to an XML Schema. The method comprises the following steps: a data object which is consistent with the structure of the data element is defined, wherein the incidence relations of the data object and the data element are consistent; the XML data are read and analyzed; the data object corresponding to the XML data is instantiated, and the data object of the same structure as the XML data is formed. The XML metadata objectification analytic method and a system predefine the XML Schema of the structure of the XML data, the XML Schema defines the attribute name, type, default, incidence relation of father and son elements and the like of each element, and the embodiment of the invention uses the data directly to establish a corresponding Java type, thus solving the problems in the existing XML processing mode.

Description

technical field [0001] This application relates to the field of data analysis, in particular to an XML-based scalable metadata object analysis method and system. Background technique [0002] XML (Extensible Markup Language) is an extensible markup language. It is a widely supported Internet standard for encoding structured data in a special way. In fact, data encoded in XML can be decoded by any programming language. One can even use a standard text editor to read or write XML data. Many applications, especially modern standards-compliant web browsers, can process XML data directly. [0003] XML Schema files are used to describe the structure of XML documents. The XML Schema language is also known as XML Schema Definition (XSD). The role of XML Schema is to define one or more legal components of an XML document, which defines the elements (Element) that can appear in the document, the attributes that can appear in the element, which elements are sub-elements, and the ord...

AI Technical Summary

Problems solved by technology

[0006] 1) Data with a simple text structure is not friendly to developers, such as: type, format, etc. conversion;

[0007] 2) XML data parsing is coupled with business logic processing, which leads to a linear increase in software complexity and increases the probability of errors;

[0008] 3) The complicated XML parsing tool API undoubtedly increases the learning curve and development cost;

[0009] 4) The change of the data structure directly leads to a large number of program modifications

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