An information search model for online social Networks - MOBIRSE

Online Social Networks (OSNs) have been gaining great importance among Internet users in recent years.  These are sites where it is possible to meet people, publish, and share content in a way that is both easy and free of charge. As a result, the volume of information contained in these websites ha...

Full description

Autores:
Niño Zambrano, Miguel Angel
Cerón Moreno, Iván Darío
Astaiza Perafán, Jhon Alberto
Ramírez, Gustavo Adolfo
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67636
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67636
http://bdigital.unal.edu.co/68665/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Ontologías
perfil de usuario
redes sociales online
recuperación de la información
modelo de búsqueda.
Ontologies
user profile
online social network
information retrieval
search model.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:Online Social Networks (OSNs) have been gaining great importance among Internet users in recent years.  These are sites where it is possible to meet people, publish, and share content in a way that is both easy and free of charge. As a result, the volume of information contained in these websites has grown exponentially, and web search has consequently become an important tool for users to easily find information relevant to their social networking objectives. Making use of ontologies and user profiles can make these searches more effective. This article presents a model for Information Retrieval in OSNs (MOBIRSE) based on user profile and ontologies which aims to improve the relevance of retrieved information on these websites. The social network Facebook was chosen for a case study and as the instance for the proposed model. The model was validated using measures such as At-k Precision and Kappa statistics, to assess its efficiency.