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...

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

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

(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...

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 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...

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...

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

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...

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...

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...

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...

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....

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

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

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

Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between...

generation of large-scale text data. Modern models can be fine-tuned for specific tasks, or be guided by prompt engineering. These models acquire predictive power...

accepted the notion that useful data sharing is not possible without formal semantic data models of the context the data describes. Within their respective...

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

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

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

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

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

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

simple example of concepts modeled in a frame language is the Friend of A Friend (FOAF) ontology defined as part of the Semantic Web as a foundation for...