Editing Semantic network (section)

{{distinguish|semantic neural network}}
{{short description|Knowledge base that represents semantic relations between concepts in a network}}
{{Use dmy dates|date=January 2021}}
[[Image:Semantic Net.svg|thumb|upright|Example of a semantic network]]
{{Network science}}
{{InfoMaps}}

A '''semantic network''', or '''frame network''' is a [[knowledge base]] that represents [[Semantics|semantic]] relations between [[concept]]s in a network. This is often used as a form of [[Knowledge representation and reasoning|knowledge representation]]. It is a [[directed graph|directed]] or [[undirected graph]] consisting of [[vertex (graph theory)|vertices]], which represent [[concept]]s, and [[graph theory|edges]], which represent [[semantic relationship|semantic relations]] between [[Concept|concepts]],<ref name = 'Sowa'/> mapping or connecting [[semantic field]]s. A semantic network may be instantiated as, for example, a [[graph database]] or a [[concept map]]. Typical standardized semantic networks are expressed as [[semantic triple]]s.

Semantic networks are used in [[neurolinguistics]] and [[natural language processing]] applications such as [[semantic parsing]]<ref>Poon, Hoifung, and Pedro Domingos. "[https://aclanthology.info/pdf/D/D09/D09-1001.pdf Unsupervised semantic parsing] {{Webarchive|url=https://web.archive.org/web/20190207015717/https://aclanthology.info/pdf/D/D09/D09-1001.pdf |date=7 February 2019 }}." Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1-Volume 1. Association for Computational Linguistics, 2009.</ref> and [[word-sense disambiguation]].<ref>Sussna, Michael. "[https://sites.ualberta.ca/~golmoham/SW/ontology%20based%20similarity/Word%20sense%20disambiguation%20for%20free-text%20indexing%20using%20a%20massive%20semantic%20network.pdf Word sense disambiguation for free-text indexing using a massive semantic network] {{Webarchive|url=https://web.archive.org/web/20210921093053/https://sites.ualberta.ca/~golmoham/SW/ontology%20based%20similarity/Word%20sense%20disambiguation%20for%20free-text%20indexing%20using%20a%20massive%20semantic%20network.pdf |date=21 September 2021 }}." Proceedings of the second international conference on Information and knowledge management. ACM, 1993.</ref> 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.<ref>{{cite book |last1=Segev |first1=Elad |title=Semantic Network Analysis in Social Sciences |date=2022 |publisher=Routledge |location=London |isbn=9780367636524 |url=https://www.routledge.com/Semantic-Network-Analysis-in-Social-Sciences/Segev/p/book/9780367636524 |access-date=5 December 2021 |archive-date=5 December 2021 |archive-url=https://web.archive.org/web/20211205140726/https://www.routledge.com/Semantic-Network-Analysis-in-Social-Sciences/Segev/p/book/9780367636524 |url-status=live }}</ref>