Semantic data model - A semantic data model describes what data represents, including the concepts, relationships, and rules needed to interpret it in a domain.
Semantic drift in IE - Semantic drift in information extraction is the progressive movement of an iterative extractor away from its intended relation or semantic category.
Semantic feature - A semantic feature is a feature that captures meaning, what a piece of text, an image or a record is about, rather than surface form like exact words...
Semantic field - A semantic field is a group of words or word senses that collectively describe an area of meaning and have meaningful relationships within it.
Semantic folding - Semantic folding is a language-representation approach that encodes words and text as sparse binary patterns using a learned semantic reference space.
Semantic gap - The semantic gap is the mismatch between information represented or extracted by a computational system and the meaning people attach to that information in...
Semantic grid - The Semantic Grid is a research vision for distributed computing in which data, services and resources carry explicit, machine-processable descriptions of...
Semantic heterogeneity - Semantic heterogeneity is variation in the meaning or interpretation of data across sources that appear to describe related things.
Semantic integration - Semantic integration connects information from different sources while explicitly addressing how their concepts and values relate in meaning.
Semantic interoperability - Semantic interoperability is the ability of systems to exchange information and use it with a sufficiently consistent understanding of its meaning.
Semantic interpretation - Semantic interpretation is the process of turning a natural-language utterance into a representation of its meaning that a computer system can use.
Semantic knowledge management - Semantic knowledge management uses explicit concepts, relationships, and metadata to help an organization organize, find, interpret, and maintain its...
Semantic mapper - A semantic mapper is a tool or service that helps relate and transform data elements between different schemas, vocabularies or namespaces using their...
Semantic mapping - Semantic mapping connects items according to their meaning, rather than relying only on matching words or formats.
Semantic matching - Semantic matching identifies correspondences between elements according to their meaning rather than merely their spelling or position.
Semantic memory - Semantic memory is memory for facts, concepts and meanings, knowing what things are and how they relate, as distinct from episodic memory for specific...
Semantic network - A semantic network represents knowledge as a graph of nodes connected by meaningful relationships.
Semantic neural network - A semantic neural network is a research-specific network model that connects representations of meaning with neuron-like processing.
Semantic parameterization - Semantic parameterization is a requirements-modeling process for translating natural-language domain descriptions into explicit concepts and relationships...
Semantic parsing - Semantic parsing is the task of converting a natural-language utterance into a formal representation of its meaning.
Semantic publishing - Semantic publishing enriches published material with explicit descriptions, relationships and accessible data that help people and software interpret...
Semantic query - A semantic query asks for information using explicitly represented concepts and relationships, potentially including conclusions supported by a domain model.
Semantic reasoner - A semantic reasoner is software that derives conclusions or checks logical properties from explicitly represented knowledge and its formal rules.
Semantic role - A semantic role describes how a participant or circumstance relates to a predicate's event or situation.
Semantic role labeling - Semantic role labeling, or SRL, is the task of identifying a predicate's arguments and assigning labels that describe their roles in the event or situation.
Semantic service-oriented architecture - A semantic service-oriented architecture is a service-oriented system that uses explicit descriptions of meaning to support tasks such as service discovery...
Semantic similarity - Semantic similarity is the degree to which two words, phrases, sentences, or other representations resemble one another in meaning.
Semantic similarity network - A semantic similarity network represents items as nodes and meaningful similarity relationships as connections, often with numerical weights.
Semantic space - A semantic space is a representation in which words, texts, or concepts occupy positions intended to reflect aspects of meaning.
Semantic technology - Semantic technology is a broad term for methods and tools that represent, connect, or use the meaning of information in a form computers can process.
Semantic translation - Semantic translation transforms information from one conceptual representation into another while aiming to preserve its intended meaning.
Semantic triple - A semantic triple expresses a statement as three parts: subject, predicate, and object.
Semantic web service - A semantic web service is a web-accessible service accompanied by machine-processable descriptions of what it does and the meaning of its inputs, outputs or...
Semantics - Semantics concerns the meaning assigned to expressions.
Semantometrics - Semantometrics is an approach to research evaluation that uses the semantic content of scholarly publications, often together with their relationships in...
Semaphore (programming) - A semaphore is a synchronization mechanism that controls access to a limited number of permits or signals the availability of something between concurrent...
Semi-amortized variational inference - Semi-amortized variational inference combines an inference network's fast prediction of variational parameters with additional optimization for each...
Semi-gradient temporal-difference learning - Semi-gradient temporal-difference learning updates a parameterized value estimate using a bootstrapped target while treating that target as constant during...
Semi-partial correlation ( r 0(1.2) ) - A semi-partial correlation measures the association between an outcome and the residual part of a predictor after specified other predictors have been...
Semi-structured data - Semi-structured data has recognizable organization, such as keys, tags, nested objects, or metadata, while allowing records to vary in their fields or...
Semi-supervised learning - Semi-supervised learning is training that combines a small amount of labeled data with a large amount of unlabeled data, using the structure of the...
Semiconnectedness - Semiconnectedness is a property of a directed graph in which every pair of nodes is comparable by reachability: for any two nodes, there is a directed path...
Semidefinite embedding - Semidefinite embedding, or SDE, is a nonlinear dimensionality-reduction method that learns a matrix of inner products while preserving specified local...
Semiparametric model - A semiparametric model combines a finite-dimensional parameter component with a component that is not restricted to a fixed finite-dimensional parametric...
Semisupervised parsing - Semisupervised parsing is the training of a language parser using both annotated examples and text without the required syntactic annotations.
Semisupervised variational autoencoder - A semisupervised variational autoencoder is a latent-variable generative model trained using both labeled and unlabeled observations.
Semivowel - A semivowel is a vowel-like speech sound that functions outside the syllable nucleus, commonly called a glide.