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Meta-modeling is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for the modeling in a predefined class of problems. The meta-data side of the diagram consists of a concept diagram. This is basically an adjusted class diagram as described in Booch, Rumbaugh and Jacobson (1999).
An example of an anchor for the identities of the nephews of Donald Duck is a set of 1-tuples: { #42 , #43 , #44 } Knots can be thought of as the combination of an anchor and a single attribute. Knot tables contain two columns, one for an identity and one for a value.
Example of a Geologic map information meta-model, with four types of meta-objects, and their self-references. [1]A metamodel is a model of a model, and metamodeling is the process of generating such metamodels.
For example, a generic data model may define relation types such as a 'classification relation', being a binary relation between an individual thing and a kind of thing (a class) and a 'part-whole relation', being a binary relation between two things, one with the role of part, the other with the role of whole, regardless the kind of things ...
MOF – Meta Object Facility, an OMG metamodeling and metadata repository standard XMI – XML Metadata Interchange, an OMG metadata interchange standard CWM models enable users to trace the lineage of data – CWM provides objects that describe where the data came from and when and how the data was created.
The modeling of the metadata subschema of an EAV system, in fact, is a very good fit for traditional modeling, because of the inter-relationships between the various components of the metadata. In the TrialDB system, for example, the number of metadata tables in the schema outnumber the data tables by about ten to one.
This type of "translating" from one format to another is often called "metadata mapping" or "field mapping," and is related to "data mapping", and "semantic mapping". Crosswalks also have several technical capabilities. They help databases using different metadata schemes to share information. They help metadata harvesters create union catalogs.
The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling. The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income".