Recent trends in knowledge graphs: theory and practice

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:33:09Z
Fecha de publicación2021-01-01
ResumenWith the extensive growth of data that has been joined with the thriving development of the Internet in this century, finding or getting valuable information and knowledge from these huge noisy data became harder. The Concept of Knowledge Graph (KG) is one of the concepts that has come into the public view as a result of this development. In addition, with that thriving development especially in the last two decades, the need to process and extract valuable information in a more efficient way is increased. KG presents a common framework for knowledge representation, based on the analysis and extraction of entities and relationships. Techniques for KG construction can extract information from either structured, unstructured or even semi-structured data sources, and finally organize the information into knowledge, represented in a graph. This paper presents a characterization of different types of KGs along with their construction approaches. It reviews the existing academia, industry and expert KG systems and discusses in detail about the features of it. A systematic review methodology has been followed to conduct the review. Several databases (Scopus, GS, WoS) and journals (SWJ, Applied Ontology, JWS) are analysed to collect the relevant study and filtered by using inclusion and exclusion criteria. This review includes the state-of-the-art, literature review, characterization of KGs, and the knowledge extraction techniques of KGs. In addition, this paper overviews the current KG applications, problems, and challenges as well as discuss the perspective of future research. The main aim of this paper is to analyse all existing KGs with their features, techniques, applications, problems, and challenges. To the best of our knowledge, such a characterization table among these most commonly used KGs has not been presented earlier.es_ES
Doihttps://doi.org/10.1007/s00500-021-05756-8es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/4988
Idiomaenes_ES
EditorialSPRINGERes_ES
RelaciónSoft Computinges_ES
URL relacionadohttps://doi.org/10.1007/s00500-021-05756-8es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteSoft Computing
Palabra claveKnowledge graphses_ES
Palabra claveKnowledge extractiones_ES
Palabra claveLearning techniqueses_ES
Palabra claveReasoninges_ES
TítuloRecent trends in knowledge graphs: theory and practicees_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorTiwari, Sanju
AutorAl-Aswadi, Fatima N.
AutorGaurav, Devottam
AutorTiwari, Sanjues_ES
AutorAl-Aswadi, Fatima N.es_ES
AutorGaurav, Devottames_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número13es_ES
Rango de páginas8337-8355es_ES
URL relacionadahttps://doi.org/10.1007/s00500-021-05756-8
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen25es_ES

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