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Semantic network
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<p>A semantic network, or frame network is a <a href="/facts/Knowledge_base/zKXdqQjH">knowledge base</a> that represents <a href="/facts/Semantics/1L4WwLAP">semantic</a> relations between <a href="/facts/Concept/VWB6yhQp">concepts</a> in a network. This is often used as a form of <a href="/facts/Knowledge_representation_and_reasoning/9lnzyILD">knowledge representation</a>. It is a <a href="/facts/Directed_graph/YBdfQ0um">directed</a> or <a href="/facts/Undirected_graph/kw3eIBUe">undirected graph</a> consisting of <a href="/facts/Vertex_(graph_theory)/WhlWmL3o">vertices</a>, which represent <a href="/facts/Concept/VWB6yhQp">concepts</a>, and <a href="/facts/Graph_theory/VVPCd4TX">edges</a>, which represent <a href="/facts/Semantic_relationship/EIRll6sn">semantic relations</a> between <a href="/facts/Concept/VWB6yhQp">concepts</a>, mapping or connecting <a href="/facts/Semantic_field/dBzpq7cc">semantic fields</a>. A semantic network may be instantiated as, for example, a <a href="/facts/Graph_database/WJfPlV3z">graph database</a> or a <a href="/facts/Concept_map/f9Dt1LED">concept map</a>. Typical standardized semantic networks are expressed as <a href="/facts/Semantic_triple/xL55zjps">semantic triples</a>. </p><p>Semantic networks are used in <a href="/facts/Neurolinguistics/dFeGB8Gu">neurolinguistics</a> and <a href="/facts/Natural_language_processing/1hjMKsSN">natural language processing</a> applications such as <a href="/facts/Semantic_parsing/VEwJ18nL">semantic parsing</a> and <a href="/facts/Word-sense_disambiguation/Mfcw7gsu">word-sense disambiguation</a>. Semantic networks can also be used as a method to analyze large texts and identify the main themes and topics (e.g., of <a href="/facts/Social_media/kUIkfpIA">social media</a> posts), to reveal biases (e.g., in news coverage), or even to map an entire research field. </p>