Social Networks and the Semantic Web

  • Peter┬áMika

Part of the Semantic Web and Beyond book series (ADSW, volume 5)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Introduction to the Semantic Web and Social Networks

    1. Front Matter
      Pages 1-1
    2. Pages 3-26
  3. Web data and semantics in social network applications

  4. Case studies

  5. Conclusions

    1. Front Matter
      Pages 209-209
    2. Pages 211-224
  6. Back Matter
    Pages 225-234

About this book

Introduction

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

Keywords

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

Authors and affiliations

  • Peter┬áMika
    • 1
  1. 1.Yahoo! Research Barcelona08003 BarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-71001-3
  • Copyright Information Springer Science+Business Media, LLC 2007
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-71000-6
  • Online ISBN 978-0-387-71001-3
  • Series Print ISSN 1559-7474
  • About this book
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