Social Networks and the Semantic Web

1. Front Matter

   Pages I-XIII

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2. Introduction to the Semantic Web and Social Networks

   1. Front Matter

      Pages 1-1

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   2. The Semantic Web

      Pages 3-26

   3. Social Network Analysis

      Pages 27-47

3. Web data and semantics in social network applications

   1. Front Matter

      Pages 49-49

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   2. Electronic sources for network analysis

      Pages 51-63

   3. Knowledge Representation on the Semantic Web

      Pages 65-92

   4. Modelling and aggregating social network data

      Pages 93-120

   5. Developing social-semantic applications

      Pages 121-151

4. Case studies

   1. Front Matter

      Pages 153-153

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   2. Evaluation of web-based social network extraction

      Pages 155-173

   3. Semantic-based Social Network Analysis in the sciences

      Pages 175-191

   4. Ontologies are us: emergent semantics in folksonomy systems

      Pages 193-207

5. Conclusions

   1. Front Matter

      Pages 209-209

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   2. The perfect storm

      Pages 211-224

6. Back Matter

   Pages 225-234

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Science is like a tree: contrary to popular belief, both trees and science grow at their edges, not at their core. For science, this means that most of the fruitful and exciting developments are not happening at the core of established ?elds, but are instead happening at the boundaries between such ?elds. This has been particularly true for Computer Science. The most interesting database developments don’t happen inside the Database community, but rather where databases hit Biology. Similarly, the most interesting developments in Ar- ?cial Intelligence in recent years have happened where AI met the Web. Theyoung?eldofSemanticWebresearchhasbeenoneoftheresultsofanumber of different sub?elds of Computer Science being exposed to the challenges of the Web: databases, computational linguistics, knowledge representation, knowled- based systems and service-oriented computing are just some of the sub?elds that are all making contributions to the Semantic Web vision, namely a Web that consists not only of linksbetween web-pagesfull of picturesand text, but of a Semantic Web that consists of links between computer-interpretable data. Such a Semantic Web would make it possible to query and reason over integrated data-sets consisting of separate pieces of information that were never intended to be linked together, but that can nevertheless be fruitfully combined and integrated, sometimes even by a third party who neither wrote nor ownsany of the original piecesof data (just as is possible with web-pages on the current Web).

• Beyond Computing
• Content
• Data Integration
• Mika
• Networks
• Online networks
• Ontology
• Semantic Web
• Semantics
• Social
• Social Networks
• Web
• Web 2.0
• search engine marketing (SEM)

• Yahoo! Research Barcelona, 08003 Barcelona, Spain

  Peter Mika

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