In Knowledge Management Solutions, data structure is a logical structure to contain data in order to give them an organization to simplify its processing. A data structure actually implements an abstract type.
To take an example from everyday life, we can present phone numbers by department, by name, profession (like the Yellow Pages), by telephone number (such as directories for telemarketing), street or a combination any of these details. Each match uses an appropriate directory structure.
Organizing the data allows a faster and more efficient automatic processing of personal data. Employing an appropriate data structure to data processing can also reduce significantly the complexity of a computer application and thus contribute to error rate reduction.
Since all software development processes are carried out using certain tools, different approaches in this regard are observable, which are outlined in the following examples: Only standard software for graphics (for ERD) and word processing (for the description of components) will be used. In practice, only free text is detected, possibly supported by sample forms; quality assurance is hardly be automated, there is no focus on the specific task.
Simple special applications where graphic symbols and descriptions are related. Example: Double-clicking on the entity opens its description; names are identical in text and graphics, foreign terms can be referenced via a link.
Knowledge Management Solutions has a meta-model in which information details can be collected. The tool checks the possible inputs and particular contexts. Data Dictionary: The developed components are listed as ‘data objects and can be used in multiple projects. The project excerpts are referenced extensions, modifications, deletions.
Other performance components of DM tools can be: Version concept , documentation and evaluation functions, multi-user and multi-project capability, multi-tenancy, authorization and security concept. For highly integrated, the following examples may apply: Universal specification tool: The modeled contents are also used by the tools (referenced) so that functional specifications are created.
Active Data Dictionary: The content model can be used not only in the project, but also in the final application – for example, to display field names, performing plausibility checks etc. The degree of integration of the tools can therefore be very different. It largely determines the quality of the modeling processes, particularly their efficiency.
Examples of data model applications include creating a product, order and invoice as object types (entity). The model of this reality cutout can be used to make the specification of the functional requirements of the system.
The meta-model of the thesaurus being used in a research area, ie the specific terminology with their synonyms and the lower and upper terms and related terms as a reference for researchers working in this area.
