ISO 11179-4 PDF

Intended purpose[ edit ] Organizations exchange data between computer systems precisely using enterprise application integration technologies. Completed transactions are often transferred to separate data warehouse and business rules systems with structures designed to support data for analysis. Data integration is often also solved as a problem of data, rather than metadata, with the use of so-called master data. The first principle from semantic theory is the thesaurus type relation between wider and more narrow or specific concepts, e. The second principle from semantic theory is the relation between a concept and its representation, e. A basic principle of data modelling is the combination of an object class and a characteristic.

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Intended purpose[ edit ] Organizations exchange data between computer systems precisely using enterprise application integration technologies. Completed transactions are often transferred to separate data warehouse and business rules systems with structures designed to support data for analysis. Data integration is often also solved as a problem of data, rather than metadata, with the use of so-called master data.

The first principle from semantic theory is the thesaurus type relation between wider and more narrow or specific concepts, e. The second principle from semantic theory is the relation between a concept and its representation, e. A basic principle of data modelling is the combination of an object class and a characteristic. For example, "Person - hair color". For example, the high-level concept "income" is combined with the object class "person" to form the data element concept "net income of person".

Note that "net income" is more specific than "income". The different possible representations of a data element concept are then described with the use of one or more data elements. Differences in representation may be a result of the use of synonyms or different value domains in different data sets in a data holding.

A value domain is the permitted range of values for a characteristic of an object class. The letters M, F and U are then the permitted values of sex of person in a particular data set. The data element concept "monthly net income of person" may thus have one data element called "monthly net income of individual by dollar groupings" and one called "monthly net income of person range dollars", etc.

The result of this is a catalogue of sorts, in which related data element concepts are grouped by a high-level concept and an object class, and data elements grouped by a shared data element concept. Strictly speaking, this is not a hierarchy, even if it resembles one. It does not refer to the description of physical files, tables and columns.

The standard has two main purposes: definition and exchange. The core object is the data element concept, since it defines a concept and, ideally, describes data independent of its representation in any one system, table, column or organisation. Part 3 specifies the metamodel that defines the registry. Part 7 is released per December and provides an extension to part 3 for registration of metadata about data sets. The other parts specify various aspects of the use of the registry. The purpose of the registry is to maintain a semantically precise structure of data elements.

However, the reason for this is unclear. ISO membership is open to organizations through their national bodies. Countries with public sector repositories across various industries include Australia, Canada, Germany, United States and the United Kingdom. The eXtended Metadata Registry initiative, XMDR led by the US, explored the use of ontologies as the basis for MDR content in order to provide richer semantic framework than could be achieved by lexical and syntax naming conventions alone.

The primary extension in Edition 3 is the Concept Region, expanding the use of concepts to more components within the standard, and supporting registration of a Concept system for use within the registry. The standard also supports the use of externally defined concept systems. Edition 3 versions of Parts 1, 5, and 6 were published in Part 4 describes principles for forming data definitions; an Edition 3 has not been proposed.

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