• DocumentCode
    653917
  • Title

    PAD: A semantic social network

  • Author

    Paydar, Samad ; Kahani, Mohsen ; Zarrinkalam, Fattane

  • Author_Institution
    Dept. of Comput. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
  • fYear
    2013
  • fDate
    Oct. 31 2013-Nov. 1 2013
  • Firstpage
    102
  • Lastpage
    107
  • Abstract
    In this paper, PAD is introduced which is a semantic social network developed at Ferdowsi University of Mashhad. It uses the semantic web technologies in different ways: First it publishes parts of the social network data as Linked Data. It uses semantic web sources for automatic annotation of the social network entities with resources on the semantic web. Finally it uses the semantic web sources to collect required background or domain knowledge for the purpose of recommending items to the social network users. PAD has been designed to provide a medium through which people at Ferdowsi University of Mashhad can share their interests and knowledge, and also to provide a native infrastructure for Iranian researchers in different domains like semantic web, social networks, recommendation systems, and knowledge management. In this paper, architecture of PAD is described and different aspects in which PAD is related to the semantic web are discussed.
  • Keywords
    knowledge management; recommender systems; semantic Web; semantic networks; social networking (online); Ferdowsi University of Mashhad; PAD; automatic social network entity annotation; knowledge management; linked data; recommendation systems; semantic Web sources; semantic Web technologies; semantic social network data; social network users; Databases; Java; Semantics; Annotation; Linked Data; Semantic Social Network; Semantic Web; Social Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Knowledge Engineering (ICCKE), 2013 3th International eConference on
  • Conference_Location
    Mashhad
  • Print_ISBN
    978-1-4799-2092-1
  • Type

    conf

  • DOI
    10.1109/ICCKE.2013.6682853
  • Filename
    6682853