Knowledge base that represents semantic relations between concepts in a network
It has been suggested that Semantic computing be merged into this article. (Discuss) Proposed since April 2024.
Example of a semantic network
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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 of knowledge representation. It is a directed or undirected graph consisting of vertices, which represent concepts, and edges, which represent semantic relations between concepts,[1] mapping or connecting semantic fields. A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples.
Semantic networks are used in neurolinguistics and natural language processing applications such as semantic parsing[2] and word-sense disambiguation.[3] Semantic networks can also be used as a method to analyze large texts and identify the main themes and topics (e.g., of social media posts), to reveal biases (e.g., in news coverage), or even to map an entire research field.[4]
^Cite error: The named reference Sowa was invoked but never defined (see the help page).
^Poon, Hoifung, and Pedro Domingos. "Unsupervised semantic parsing Archived 7 February 2019 at the Wayback Machine." Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1-Volume 1. Association for Computational Linguistics, 2009.
^Sussna, Michael. "Word sense disambiguation for free-text indexing using a massive semantic network Archived 21 September 2021 at the Wayback Machine." Proceedings of the second international conference on Information and knowledge management. ACM, 1993.
^Segev, Elad (2022). Semantic Network Analysis in Social Sciences. London: Routledge. ISBN 9780367636524. Archived from the original on 5 December 2021. Retrieved 5 December 2021.
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