Product Description

Whether we changed the Web or the Web has changed us is difficult to discern, even with the wisdom of hindsight. Social Networks and the Semantic Web 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 study highlights the role of the social context in user-generated classifications in content, such as the tagging systems known as folksonomies.

Social Networks and The Semantic Web is designed for researchers and advanced-level students of the semantic Web and Web services, information systems, social and information sciences. This book is useful for practitioners in industry as well.

Foreword by Frank van Harmelen, author of the Semantic Web Primer

Product Details

• Amazon Sales Rank: #747261 in Books
• Published on: 2007-09-18
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 234 pages

Customer Reviews

Semantic web meet social networks
This book delineates a prominent research and application arena for the next years. As emphasized in the foreword, the strength of the book is to look at overlapping boundaries between social network and the Semantic Web.
Peter Mika shows how Semantic Web and social network analysis can work together as part of the [new] social and Semantic Web. Mika present the history of the fields, basic concepts, and, based upon his own academic research (e.g., Flink, openacademia), the IT infrastructure that support the integration of the Semantic Web and the social network analysis. The technological engine includes RDF, OWL, Sesame, Elmo, and other open source applications and standards.
This book is a must read for computer and information researchers. It is a good reading suggestion for practitioners and other researchers whose interests include social web concepts and applications, information classification, knowledge representation, data integration, visualization, web 2.0, and beyond.

5 for Content and Relevance, Zero for Greed Pricing
I am an author and publisher and I would have bought this book today had it been priced more honestly. It costs a penny a page to produce a book, and this book should not be sold for more than $29.95 (which is ten times cost, and also accounts for Amazon only paying 45% of retail to each publisher).

I hope the author reads this and posts the book online as a Creative Commons PDF. I advise all authors to retain original rights to everything they produce, and to always post a searchable savable PDF for the common good. Earth Intelligence publishes hard-copy books on Amazon as a marker, but the real value to all who wich to create a prosperous world at peace lies in our free PDFs that can also be translated into any language at no cost.

Search the web for the title and author of this book and find interesting free stuff. I am adding this book to my list of grotesquely expensive books I would have bought but will not because of the price.