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Social Networks and the Semantic Web (Semantic Web and Beyond)
 
 
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Social Networks and the Semantic Web (Semantic Web and Beyond) [Hardcover]

Peter Mika (Author)
4.3 out of 5 stars  See all reviews (3 customer reviews)

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Book Description

0387710000 978-0387710006 September 18, 2007 1

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.


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Editorial Reviews

From the Back Cover

We are not just building the Web any more: we are on it. The latest set of applications have transformed the Web from a mere document collection into a social space: the new services developed under the banner of Web 2.0 cater to our needs of connecting through the medium and allow us to explicitly describe, maintain and develop our online self. At the same time, documents and other forms of content are not only up- and downloaded any more, but actively exchanged, filtered, organized and discussed in groups of all sizes. While the pace of change is dizzying, investigating this complex social-technological system is paramount to our ability of designing intelligent information systems that can guide us through the new online universe.

Social Networks and the Semantic Web combines the concepts and the methods of two fields of investigation, which together have the power to aid in the analysis of the social Web and the design of a new class of applications that combine human intelligence with machine processing. Social Network Analysis and the emerging Semantic Web are also the fields that stand to gain most from the new Web in achieving their full potential. On the one hand, the social Web delivers social network data at an extraordinary scale, with a dynamics and precision that has been outside of reach for more traditional methods of observing social structure and behavior. In realizing this potential, the technology of the Semantic Web provides the key in aggregating information across heterogeneous sources. The Semantic Web itself benefits by incorporating user-generated metadata and other clues left behind by users.

Social Networks and the Semantic Web is designed for practitioners and researchers in industry, as well as graduate-level students in Computer Science within the Semantic Web field, and Social Science with an interest in working with electronic data and observing online social networks. This book also supplies developers of social-semantic applications with an understanding of the key concepts and methods of both fields and describes real-world applications incorporating social and semantic metadata.

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


Product Details

  • Hardcover: 248 pages
  • Publisher: Springer; 1 edition (September 18, 2007)
  • Language: English
  • ISBN-10: 0387710000
  • ISBN-13: 978-0387710006
  • Product Dimensions: 9.3 x 6.4 x 0.9 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #1,948,098 in Books (See Top 100 in Books)

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1 of 1 people found the following review helpful:
5.0 out of 5 stars Semantic web meet social networks, March 23, 2009
This review is from: Social Networks and the Semantic Web (Semantic Web and Beyond) (Hardcover)
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.
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5.0 out of 5 stars This is a Web 3.0 perr into how it works for those who want to use it!, August 29, 2010
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This review is from: Social Networks and the Semantic Web (Semantic Web and Beyond) (Hardcover)
Practitioners and developers interested in applications such as blogs, social networks or wikis will learn about methods for increasing the levels of automation in forms of Web communication. I am an advertising professional who struggled with the technical language but,found some explantions valuable to implement action steps and the index a great place to find researchers willing to help!
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8 of 18 people found the following review helpful:
3.0 out of 5 stars 5 for Content and Relevance, Zero for Greed Pricing, June 3, 2008
This review is from: Social Networks and the Semantic Web (Semantic Web and Beyond) (Hardcover)
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.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
description logic, web services, advice seeking network, social network extraction, folksonomy systems, social network mining, social network features, social network data, disambiguation term, triple stores, publication metadata, emergent semantics, instance unification, ontology extraction, semantic technology, ego network, lightweight ontologies, closeness centrality, social networking services, ontology mapping, affiliation network, tie strength, semantic technologies, social network analysis, cognitive diversity
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Semantic Web, Frank van Harmelen, Second Life, Knowledge Representation, World Wide Web Consortium, Steffen Staab, Computer Science, Carole Goble, Enrico Motta, Peter Mika, York Sure, Rudi Studer, Artificial Intelligence, Jim Hendler, Google Scholar, United States, New Orleans, Raphael Volz, Sean Bechhofer, Java Universal Network Graph, Hurricane Katrina, Guus Schreiber, Vrije Universiteit, Tim Berners-Lee, File Edit View
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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