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
Link To Document :
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