Title :
Building a Semantic Social Network Based on Interpersonal Relationships
Author :
Kee-Sung Lee ; Myung-Duk Hong ; Jin-guk Jung ; Geun-Sik Jo
Author_Institution :
Dept. of Inf. Eng., Inha Univ., Incheon, South Korea
Abstract :
With the emergence of the Smart phone, people can use Online Social Network Services ubiquitously, leading to a significant increase of the number of participants in online social networks. Under these circumstances, online users will require an intelligent and intuitive social relationship management system such as the ontology-driven browsing method. In this paper, to build a user-centered semantic social network and to represent entities and relationships with ontology to improve retrieval performance of the semantic social network, we will design our ontology extended from FOAF, RELATIONSHIP and propose a new method to compute closeness among friends using resources on social networks. Furthermore, we evaluate our ontology-driven browsing on via implementing a prototype system.
Keywords :
information retrieval; ontologies (artificial intelligence); semantic Web; smart phones; social networking (online); FOAF; RELATIONSHIP; interpersonal relationships; online social network services; ontology-driven browsing method; retrieval performance; smartphone; social relationship management system; user-centered semantic social network; Educational institutions; Equations; Facebook; Mathematical model; Ontologies; Semantics; Interpersonal relationship rules; closeness; ontology population; semantic social network;
Conference_Titel :
Mobile, Ubiquitous, and Intelligent Computing (MUSIC), 2012 Third FTRA International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-1956-0
DOI :
10.1109/MUSIC.2012.23