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Semantic data model information


Semantic data model
Process typesemantics-based database description
Product(s)Gellish (2005), ISO 15926-2 (2002)
Leading companiesU.S. Air Force as Integrated Computer-Aided Manufacturing program
Main facilitiesPlanning of Data Resources, Building of Shareable Databases, Evaluation of Vendor Software, Integration of Existing Databases
Year of inventionmid-1970s
Semantic data model
The relationship of "Semantic data models" with "physical data stores" and "real world".[1]

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 entities that exist in the application environment, the classifications and groupings of those entities, and the structural interconnections among them. SDM provides a collection of high-level modeling primitives to capture the semantics of an application environment. By accommodating derived information in a database structural specification, SDM allows the same information to be viewed in several ways; this makes it possible to directly accommodate the variety of needs and processing requirements typically present in database applications. The design of the present SDM is based on our experience in using a preliminary version of it. SDM is designed to enhance the effectiveness and usability of database systems. An SDM database description can serve as a formal specification and documentation tool for a database; it can provide a basis for supporting a variety of powerful user interface facilities, it can serve as a conceptual database model in the database design process; and, it can be used as the database model for a new kind of database management system.

  1. ^ FIPS Publication 184 Archived 2013-12-03 at the Wayback Machine released of IDEF1X by the Computer Systems Laboratory of the National Institute of Standards and Technology (NIST). 21 December 1993.

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Semantic data model

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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...

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Data model

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A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world...

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Data modeling

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data model may require multiple logical data models. The last step in data modeling is transforming the logical data model to a physical data model that...

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Conceptual model

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modeling method, used to produce a type of conceptual schema or semantic data model of a system, often a relational database, and its requirements in...

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Semantic triple

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A semantic triple, or RDF triple or simply triple, is the atomic data entity in the Resource Description Framework (RDF) data model. As its name indicates...

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Semantic translation

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Semantic translation is the process of using semantic information to aid in the translation of data in one representation or data model to another representation...

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Semantic Web

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(W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as...

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IDEF1X

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information modeling (IDEF1X) is a data modeling language for the development of semantic data models. IDEF1X is used to produce a graphical information model which...

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Semantic wiki

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A semantic wiki is a wiki that has an underlying model of the knowledge described in its pages. Regular, or syntactic, wikis have structured text and untyped...

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Semantic network

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studied as a semantic social networking method. Its basic model consists of semantic nodes, semantic links between nodes, and a semantic space that defines...

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Data preprocessing

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regards to semantic data mining and semantic pre-processing, ontologies are a way to conceptualize and formally define semantic knowledge and data. The Protégé...

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Semantic mapper

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A semantic mapper is tool or service that aids in the transformation of data elements from one namespace into another namespace. A semantic mapper is...

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Semantic interoperability

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Semantic interoperability is the ability of computer systems to exchange data with unambiguous, shared meaning. Semantic interoperability is a requirement...

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Configuration management database

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those of a relational data model and a semantic data model. Relational data models are based on first-order predicate logic and all data is represented in...

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Linked data

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In computing, linked data is structured data which is interlinked with other data so it becomes more useful through semantic queries. It builds upon standard...

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Common data model

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common data model. The Microsoft Common Data Model is a collection of many standardised extensible data schemas with entities, attributes, semantic metadata...

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MarkLogic

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multi-model NoSQL database that has evolved from its XML database roots to also natively store JSON documents and RDF triples for its semantic data model....

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Semantic query

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implicitly derived information based on syntactic, semantic and structural information contained in data. They are designed to deliver precise results (possibly...

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Probabilistic latent semantic analysis

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decomposition), probabilistic latent semantic analysis is based on a mixture decomposition derived from a latent class model. Considering observations in the...

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Semantic memory

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Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. This general knowledge (word meanings, concepts...

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Semantic technology

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The ultimate goal of semantic technology is to help machines understand data. To enable the encoding of semantics with the data, well-known technologies...

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Language model

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falls, Spain mainly, falls on, mainly the, and on plain. In skip-gram model, semantic relations between words are represented by linear combinations, capturing...

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Indecs Content Model

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environment, focusing on semantic interoperability. indecs was built from a simple generic model of commerce (the "model of making"): a model of the life cycle...

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Semantic similarity

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semantic relatedness between units of language (e.g., words, sentences) can also be estimated using statistical means such as a vector space model to...

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Semantic publishing

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search and data integration more efficient. Although semantic publishing is not specific to the Web, it has been driven by the rising of the semantic web. In...

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Semantic grid

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A semantic grid is an approach to grid computing in which information, computing resources and services are described using the semantic data model. In...

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Threat model

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highest semantic levels of the DML model. This is followed by the TTP (Tactics, Techniques and Procedures) which represent intermediate semantic levels...

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Master data management

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uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets. Organisations, or groups...

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