Semantic AI in Knowledge Graphs

AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:33:54Z
Fecha de publicación2023-01-01
ResumenRecent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning. Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore semantic AI and knowledge graphs. A range of topics are covered, from neuro-symbolic AI, explainable AI and deep learning to knowledge discovery and mining, and knowledge representation and reasoning. A trailblazing exploration of semantic AI in knowledge graphs, this book is a significant contribution to both researchers in the field of AI and data mining as well as beginner academicians.es_ES
Doihttps://doi.org/10.1201/9781003313267es_ES
ISBN978-100091118-3; 978-103232185-1es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5676
Idiomaenes_ES
EditorialCRC Presses_ES
RelaciónSemantic AI in Knowledge Graphses_ES
URL relacionadohttps://doi.org/10.1201/9781003313267es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteSemantic AI in Knowledge Graphs
TítuloSemantic AI in Knowledge Graphses_ES
TipoLibroes_ES
ArbitradoHa sido Arbitradoes_ES
AutorTiwari, Sanju
AutorOrtíz-Rodriguez, Fernando
AutorAbbés, Sarra Ben
AutorUsip, Patience Usoro
AutorHantach, Rim
AutorTiwari, Sanjues_ES
AutorOrtíz-Rodriguez, Fernandoes_ES
AutorAbbés, Sarra Benes_ES
AutorUsip, Patience Usoroes_ES
AutorHantach, Rimes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Rango de páginas1-198es_ES
URL relacionadahttps://doi.org/10.1201/9781003313267
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES

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