Author-Topic Classification Based on Semantic Knowledge

Conference Object

Abstract: We propose a novel unsupervised two-phased classification model leveraging from semantic web technol

Palabras claves:

Author-topic classification, Data integration, Data Mining, Knowledge base, Linked data, Query languages, semantic web

Autores:

José Ortiz, José Segarra, Mauricio Espinoza-Mejía, Ronald Gualán Saavedra, Víctor Saquicela, Xavier Sumba

Fuentes:

google

scopus