A semantic data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database...

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...

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...

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...

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...

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...

into any data source". The Decoder. Retrieved 2025-06-14. Wallace, Mark (March 5, 2025). "Integrating Model Context Protocol Tools with Semantic Kernel:...

(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...

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...

A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form...

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...

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

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

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

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

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...

the prior candidate "semantic modelling languages"."UML as a Data Modeling Notation, Part 2" Peter Chen, the father of ER modeling said in his seminal...

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

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...

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

clinical data. Ambiguity and Polysemy (e.g., "jaguar" as an animal or a car brand) Bias in Training Data Computational Costs of deep semantic models Multilingual...

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...

(search engine) Google Scholar Internet Archive Scholar Library of Congress Semantic Scholar Apache Solr Jumper 2.0: Universal search powered by Enterprise...

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

Open Semantic Framework, which internally uses the RDF to convert all data to a common data model Requirements Interchange Format Generic data model What...

ontologies and semantic annotations, following model driven development (MDD) principles. The initial idea of works on MDI, was the application of model-driven...

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

biases present in the data they are trained in. Before the emergence of transformer-based models in 2017, some language models were considered large relative...

of the semantic expression capabilities without modifying the schema Semantic verification – Whether the language definition enables semantic verification...

Topic models are also referred to as probabilistic topic models, which refers to statistical algorithms for discovering the latent semantic structures...