• DocumentCode
    2776410
  • Title

    Beyond FOAF: Challenges in Characterizing Social Relations

  • Author

    Hauffa, Jan ; Bossert, Gottlieb ; Richter, Nadja ; Wolf, Florian ; Liesenfeld, Nora ; Groh, Georg

  • Author_Institution
    Dept. of Inf., Tech. Univ. Munchen, Garching, Germany
  • fYear
    2011
  • fDate
    9-11 Oct. 2011
  • Firstpage
    790
  • Lastpage
    795
  • Abstract
    We discuss the results of a study on characterizing interpersonal social relationships in terms of their emotional intensity and valence in the context of several preliminary studies on the representation of social relations and the detection and characterization of individual relationships from online communication. A common aspect of these studies is the conclusion that the in-depth analysis of social relations is a hard problem, which cannot be solved by simple application of methods from the fields of social network analysis, NLP, or machine learning. We attempt to identify the contributing factors to the complexity of the problem, pointing out directions for future research.
  • Keywords
    computational complexity; learning (artificial intelligence); social networking (online); NLP; beyond FOAF; emotional intensity; in-depth analysis; interpersonal social relationship; machine learning; online communication; social network analysis; Context; Educational institutions; Electronic mail; Ontologies; Social network services; Tagging; Vocabulary; Characterizing Social Relations; Folksonomies; Machine Learning; Natural Language Processing; Ontologies; Social Networking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4577-1931-8
  • Type

    conf

  • DOI
    10.1109/PASSAT/SocialCom.2011.39
  • Filename
    6113217