Ir al contenido

Documat


Semantically en enhanced information retrieval an ontology-based aproach

  • Autores: Miriam Fernández Sánchez Árbol académico
  • Directores de la Tesis: Pablo Castells Azpilicueta (dir. tes.) Árbol académico
  • Lectura: En la Universidad Autónoma de Madrid ( España ) en 2009
  • Idioma: inglés
  • Tribunal Calificador de la Tesis: Manuel Alfonseca Moreno (presid.) Árbol académico, David Camacho Fernández (secret.) Árbol académico, Julio Gonzalo Arroyo (voc.) Árbol académico, Enrico Motta (voc.) Árbol académico, Asunción Gómez Pérez (voc.) Árbol académico
  • Enlaces
  • Resumen
    • The amount of content stored and shared on the Web and other document repositories keeps increasing steadily and fast. This growth results in well known difficulties and problems when it comes to finding and properly managing information in massive volumes. Striking progress has been achieved in the last decade with the development of search engine technologies, which collect, store and pre-process worldwide-scale information to return relevant resources instantly in response to users' needs. However, users still miss or need considerable effort sometimes to reach their targets, even if the sought information is present in the search space.


Fundación Dialnet

Mi Documat

Opciones de tesis

Opciones de compartir

Opciones de entorno