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to the Semantic Web and Social Networks.- The Semantic Web.- Social Network Analysis.- Web data and semantics in social network applications.- Electronic sources for network analysis.- Knowledge Representation on the Semantic Web.- Modelling and aggregating social network data.- Developing social-semantic applications.- Case studies.- Evaluation of web-based social network extraction.- Semantic-based Social Network Analysis in the sciences.- Ontologies are us: emergent semantics in folksonomy systems.- Conclusions.- The perfect storm.
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.
Format
PDF-ebook
Language
english 
Age
02-99
Pages
234
File Size
5.5 MB
retrievable
24 months after purchase
Copy Protection
Adobe DRM
Publisher
Springer US
place of publication
US
Edition
Published
Product No.
DG2145568

'Social Networks and the Semantic Web' by Peter Mika is a digital PDF ebook for direct download to PC, Mac, Notebook, Tablet, iPad, iPhone, Smartphone, eReader - but not for Kindle. A DRM capable reader equipment is required.

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