An intelligent approach for mining knowledge graphs of online news

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:34:04Z
Fecha de publicación2022-01-01
ResumenAutomatic extraction of background knowledge of news articles, published over the web is a complex task and less explored by knowledge-mining researchers. Suppose there is no source of background or related information available on editorial, in this case, the reader needs to search it, which is a time-consuming process of manually going over possibly an in-definite number of knowledge sources to check its authenticity. This paper aims to resolve this issue of fetching associated information regarding any text by identifying the entities in text and fetching the related entities. This work has proposed a model that can automate this process by generating a semantic network to build a Knowledge Graph on any chunk of textual content. It identifies the entities and their corresponding relations and further expands them to extract related entities from non-trivial knowledge sources. Extracted entities and relations are further converted into a node(s) and edge(s) in an environment where knowledge is represented in a graph format to generate a Knowledge Graph. The mining of such a Knowledge Graph is a complex task by acquiring and integrating different information from heterogeneous sources. The resulting Knowledge Graph would be significant to be used as a knowledge base for future news.es_ES
Doihttps://doi.org/10.1080/1206212x.2021.1957551es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5833
Idiomaenes_ES
EditorialTaylor and Francis Ltd.es_ES
RelaciónInternational Journal of Computers and Applicationses_ES
URL relacionadohttps://doi.org/10.1080/1206212x.2021.1957551es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteInternational Journal of Computers and Applications
Palabra claveInformation extractiones_ES
Palabra claveinformation retrievales_ES
Palabra claveknowledge expansiones_ES
Palabra claveknowledge graphes_ES
Palabra clavewikipedia category graphes_ES
TítuloAn intelligent approach for mining knowledge graphs of online newses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorAbhishek, Kumar
AutorPratihar, Vaibhav
AutorShandilya, Shishir Kumar
AutorTiwari, Sanju
AutorRanjan, Vinay Kumar
AutorTripathi, Sudhakar
AutorAbhishek, Kumares_ES
AutorPratihar, Vaibhaves_ES
AutorShandilya, Shishir Kumares_ES
AutorTiwari, Sanjues_ES
AutorRanjan, Vinay Kumares_ES
AutorTripathi, Sudhakares_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número9es_ES
Rango de páginas838-846es_ES
URL relacionadahttps://doi.org/10.1080/1206212x.2021.1957551
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen44es_ES

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