http://www.cnr.it/ontology/cnr/individuo/prodotto/ID42011
Personal sphere information, histories and social interaction between people on the internet (Articolo in rivista)
- Type
- Label
- Personal sphere information, histories and social interaction between people on the internet (Articolo in rivista) (literal)
- Anno
- 2008-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-540-88875-8_71 (literal)
- Alternative label
Caschera Maria Chiara, Ferri Fernando, Grifoni Patrizia (2008)
Personal sphere information, histories and social interaction between people on the internet
in Lecture notes in computer science; Springer-Verlag, Berlin Heidelberg (Germania)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Caschera Maria Chiara, Ferri Fernando, Grifoni Patrizia (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.springer.com/chapter/10.1007%2F978-3-540-88875-8_71#page-1 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Caschera Maria Chiara, Ferri Fernando, Grifoni Patrizia : IRPPS-CNR (literal)
- Titolo
- Personal sphere information, histories and social interaction between people on the internet (literal)
- Abstract
- Many people share different pieces of personal information in different on-line spaces, which are part of their social interaction and are points of a trajectory that defines the personal story of each people. This shared information can be used for detecting people and communities with common interests in order to establish their interactions. The great evolution of Web 2.0 and Mobile 2.0 can help individuals to manage and to make available their personal information and social stories from multiple sources and services. In fact, this new communication perspective facilitates the communication among people that share the same interests. Starting from the web information extracted from several on-line spaces it is possible to identify the presence of a specific person in an on-line space. However, associating a specific person to an on-line space for a given event, which identifies one point of the story for that person, can be an ambiguous issue. The paper proposes to use HMMs to model the highest probability for a person to be referred by such specific on-line information. (literal)
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