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A semantic data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database model is designed to capture more of the meaning of an application environment than is possible with contemporary database models. An SDM specification describes a database in terms of the kinds of…
History, Technology & Products
Explore the main themes, entities and connections around Semantic data model. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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data semantic model database models sdm databases modeling used environment information application meaning conceptual system systems design specification building description
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Semantic data model | Leading companies | U.S. Air Force as Integrated Computer-Aided Manufacturing program | 1.00 | infobox |
| Semantic data model | Main facilities | Planning of Data Resources, Building of Shareable Databases, Evaluation of Vendor Software, Integration of Existing Databases | 1.00 | infobox |
| Semantic data model | Process type | semantics-based database description | 1.00 | infobox |
| Semantic data model | Product(s) | Gellish (2005), ISO 15926-2 (2002) | 1.00 | infobox |
| Semantic data model | Year of invention | mid-1970s | 1.00 | infobox |
| Semantic data model | is a | abstraction that defines how the stored symbols | 0.90 | text |
| Semantic data model | is a | abstraction which defines how the stored symbols relate to the real world | 0.90 | text |
| Semantic data model | has application | Some | 0.60 | section |
| Semantic data model | has application | Planning | 0.60 | section |
| Semantic data model | has application | The | 0.60 | section |
| Semantic data model | has application | Building | 0.60 | section |
| Semantic data model | has application | DBMS | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.