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...

A semantic similarity network (SSN) is a special form of semantic network. designed to represent concepts and their semantic similarity. Its main contribution...

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

Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning...

Semantic neural network (SNN) is based on John von Neumann's neural network [von Neumann, 1966] and Nikolai Amosov M-Network. There are limitations to...

semantic social network is the result of the application of Semantic Web technologies to social networks and online social media. The term Semantic Social...

2015. Computational semantics Semantic audio Semantic compression Semantic technology Semantic network Zhao, Jun; Harmelen, Frank; Tang, Jie; Han, Xianpei;...

BabelNet is a multilingual lexicalized semantic network and ontology developed at the NLP group of the Sapienza University of Rome. BabelNet was automatically...

computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by...

The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3), is an extension of the World Wide Web through standards set by the World Wide...

more semantic types (categories), which are linked with one another through semantic relationships. The semantic network is a catalog of these semantic types...

encountered. Semantic lexicons are built upon semantic networks, which represent the semantic relations between words. The difference between a semantic lexicon...

English, WordNet is an example of a semantic network. It contains English words that are grouped into synsets. Some semantic relations between these synsets...

to build complex networks. Concept mapping Information visualization Intelligence analysis Knowledge representation Semantic network US patent 8,700,555...

Semantic analytics, also termed semantic relatedness, is the use of ontologies to analyze content in web resources. This field of research combines text...

the dual-coding theory, Chomsky's nativist theory, as well as the semantic network theory. Neurologists and neurolinguists also study the areas of the...

with semantic analysis allows the derivation of time-semantic relations. Furthermore, hypotheses about the structure of the underlying semantic network have...

of organizing information Semantic network – Knowledge base that represents semantic relations between concepts in a network Level of measurement – Distinction...

is a method for searching associative networks, biological and artificial neural networks, or semantic networks. The search process is initiated by labeling...

In linguistics, a semantic field is a lexical set of words grouped semantically (by meaning) that refers to a specific subject. The term is also used...

representation and reasoning schemes. They were originally derived from semantic networks and are therefore part of structure-based knowledge representations...

especially in the field of operations research, to refer to a kind of semantic network representing an individual's personal knowledge or schemas. Cognitive...

of semantic networks and frames; that is, it is a frame language. The system is an attempt to overcome semantic indistinctness in semantic network representations...

Co-occurrence network, sometimes referred to as a semantic network, is a method to analyze text that includes a graphic visualization of potential relationships...

Universal Networking Language (UNL) is a declarative formal language specifically designed to represent semantic data extracted from natural language texts...

Semantic P2P networks are a new type of P2P network. It combines the advantages of unstructured P2P networks and structural P2P networks, and avoids their...

depending on the application from which the graph arises; for instance, a semantic network is a graph in which the vertices represent concepts or classes of objects...

Resource Description Framework (RDF) SPARQL (Graph Query Language) Semantic network Chein, Michel; Mugnier, Marie-Laure (2009). Graph-based Knowledge Representation:...

structured data markup on web pages Semantic heterogeneity Semantic integration Semantic matching Semantic networks Semantic Web Web Ontology Language "World...

approach was replaced by the neural networks approach, using semantic networks and word embeddings to capture semantic properties of words. Intermediate...