Descrizione
Social Networks and the Semantic Web offers valuable information to practitioners developing social-semantic software for the Web. It
provides two major case studies. The first case study shows the possibilities of tracking a research community over the Web. It reveals how social network mining from the web plays an important role for obtaining large scale, dynamic network data beyond the possibilities of survey methods. The second case study highlights the role of the social context in user-generated classifications in content, such as the tagging systems known as folksonomies.
provides two major case studies. The first case study shows the possibilities of tracking a research community over the Web. It reveals how social network mining from the web plays an important role for obtaining large scale, dynamic network data beyond the possibilities of survey methods. The second case study highlights the role of the social context in user-generated classifications in content, such as the tagging systems known as folksonomies.
Dettagli del libro
Formato
eBook
Pagine
237 pagine
Lingua
Inglese
Pubblicato
gen 1, 2007
Editore
Springer
ISBN-10
1281087572
ISBN-13
9781281087577