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...
31 KB (3,536 words) - 19:51, 8 March 2025
A semantic similarity network (SSN) is a special form of semantic network. designed to represent concepts and their semantic similarity. Its main contribution...
4 KB (477 words) - 11:32, 6 April 2024
Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. This general knowledge (word meanings, concepts...
60 KB (7,837 words) - 23:42, 12 April 2025
more semantic types (categories), which are linked with one another through semantic relationships. The semantic network is a catalog of these semantic types...
14 KB (1,685 words) - 21:56, 14 January 2024
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...
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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...
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2015. Computational semantics Semantic audio Semantic compression Semantic technology Semantic network Zhao, Jun; Harmelen, Frank; Tang, Jie; Han, Xianpei;...
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The Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal...
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encountered. Semantic lexicons are built upon semantic networks, which represent the semantic relations between words. The difference between a semantic lexicon...
10 KB (1,432 words) - 17:26, 22 September 2024
semantic social network is the result of the application of Semantic Web technologies to social networks and online social media. The term Semantic Social...
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per language, i.e., word senses, on average. The semantic network includes all the lexico-semantic relations from WordNet (hypernymy and hyponymy, meronymy...
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Frame (artificial intelligence) (redirect from Semantic frames)
representation and reasoning schemes. They were originally derived from semantic networks and are therefore part of structure-based knowledge representations...
30 KB (3,608 words) - 10:08, 27 May 2025
Co-occurrence network, sometimes referred to as a semantic network, is a method to analyze text that includes a graphic visualization of potential relationships...
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present in an assemblage Semantic network – Knowledge base that represents semantic relations between concepts in a network Social map – Mental representation...
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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...
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to build complex networks. Concept mapping Information visualization Intelligence analysis Knowledge representation Semantic network US patent 8,700,555...
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In psycholinguistics, semantic processing is the stage of language processing that occurs after one hears a word and encodes its meaning: the mind relates...
10 KB (1,325 words) - 20:04, 23 May 2025
In linguistics, a semantic field is a related set of words grouped semantically (by meaning) that refers to a specific subject. The term is also used...
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Lexical semantics (section Semantic networks)
English, WordNet is an example of a semantic network. It contains English words that are grouped into synsets. Some semantic relations between these synsets...
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computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by...
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which support various media. The basic construct in NoteCards is a semantic network composed of notecards connected by typed links. Each notecard contains...
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present in an assemblage Semantic network – Knowledge base that represents semantic relations between concepts in a network Peter J. Hager, Nancy C. Corbin...
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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...
3 KB (376 words) - 00:49, 1 December 2024
Semantic analytics, also termed semantic relatedness, is the use of ontologies to analyze content in web resources. This field of research combines text...
5 KB (531 words) - 18:53, 2 May 2022
in a reverse process. Semantic compression is basically achieved in two steps, using frequency dictionaries and semantic network: determining cumulated...
6 KB (702 words) - 16:13, 13 May 2025
A semantic decomposition is an algorithm that breaks down the meanings of phrases or concepts into less complex concepts. The result of a semantic decomposition...
9 KB (1,001 words) - 21:49, 18 July 2024
Natural language processing (redirect from Implicit semantic role labelling)
approach has been replaced by the neural networks approach, using semantic networks and word embeddings to capture semantic properties of words. Intermediate...
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shipping network Neural network Project network Petri net Semantic network Social network Spin network Telecommunications network Value network Workflow...
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Spreading activation (redirect from Spreading activation networks)
is a method for searching associative networks, biological and artificial neural networks, or semantic networks. The search process is initiated by labeling...
8 KB (1,132 words) - 19:58, 12 October 2024
with semantic analysis allows the derivation of time-semantic relations. Furthermore, hypotheses about the structure of the underlying semantic network have...
18 KB (2,045 words) - 06:11, 23 May 2025