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, combining the information obtained from the Web with other data sources and analyzing the results. Social network mining from the web plays an important role in this case study 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.

Valuable for practitioners developing social-semantic software for the Web Author provides descriptions that allow the reader to not only reproduce his work but also to apply his methods in a wide range of settings Accessible to social scientists with an interest in electronic data, and to information scientists with an interest in social-semantic applications

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Inhalt
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.