Mining information from sentences through Semantic Web data and Information Extraction tasks

AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:30:03Z
Fecha de publicación2020-01-01
ResumenThe Semantic Web provides guidelines for the representation of information about real-world objects (entities) and their relations (properties). This is helpful for the dissemination and consumption of information by people and applications. However, the information is mainly contained within natural language sentences, which do not have a structure or linguistic descriptions ready to be directly processed by computers. Thus, the challenge is to identify and extract the elements of information that can be represented. Hence, this article presents a strategy to extract information from sentences and its representation with Semantic Web standards. Our strategy involves Information Extraction tasks and a hybrid semantic similarity measure to get entities and relations that are later associated with individuals and properties from a Knowledge Base to create RDF triples (Subject–Predicate–Object structures). The experiments demonstrate the feasibility of our method and that it outperforms the accuracy provided by a pattern-based method from the literature.es_ES
Doihttps://doi.org/10.1177/0165551520934387es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/2002
Idiomaeses_ES
EditorialSAGE Publicationses_ES
RelaciónJournal of Information Sciencees_ES
URL relacionadohttps://doi.org/10.1177/0165551520934387es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteJournal of Information Science
TítuloMining information from sentences through Semantic Web data and Information Extraction taskses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorMartinez-Rodriguez, Jose L.
AutorLopez-Arevalo, Ivan
AutorRios-Alvarado, Ana B.
AutorMartinez-Rodriguez, Jose L.es_ES
AutorLopez-Arevalo, Ivanes_ES
AutorRios-Alvarado, Ana B.es_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número1es_ES
Rango de páginas3-20es_ES
URL relacionadahttps://doi.org/10.1177/0165551520934387
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen48es_ES

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