Skip to main content

Modellierung von Anwenderverhalten im Social Semantic Web

  • Chapter
  • 3660 Accesses

Part of the book series: X.media.press ((XMEDIAP))

Zusammenfassung

Ziel dieses Kapitels ist es, gemeinsame Verwendungsszenarien des Semantic Web und des Social Web zu identifizieren und zu benennen. Dabei wird ein Teilaspekt des Themengebiets im Detail betrachtet: die Nutzung von Services, die Beobachtungen des Verhaltens von Anwendern analysieren, um daraus maschinell interpretierbare Informationen zu erhalten und diese als Modelle zu organisieren. Es werden zunächst einige Eigenschaften und Unterscheidungsmerkmale von Anwenderverhalten und organisierten Modellen dargestellt. Anschließend wird der mögliche wechselseitige Nutzen von Anwenderverhalten und Modellen diskutiert. Den Abschluss bildet eine Betrachtung einiger exemplarischer Software-Services, die heute schon verwendet werden, um Anwenderverhalten in Modelle überzuführen.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   29.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   44.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. C. Anderson: The Long Tail, in: Wired, 10, 2004, pp. 170–177.

    Google Scholar 

  2. J.G. Breslin et al., Towards Semantically-Interlinked Online Communities, in: Lecture Notes in Computer Science, 3532, 2005, pp. 500–514.

    Google Scholar 

  3. M. Davis: Semantic Wave 2008 Report: Industry Roadmap to Web 3.0 & Multibillion Dollar Market Opportunites, Project10X, 2007.

    Google Scholar 

  4. J.J. Garrett: Ajax: A New Approach to Web Applications, Adaptive Path, 2005. 6.3.2008: http://www.adaptivepath.com/ideas/essays/archives/000385.php

    Google Scholar 

  5. J. Gray: A Conversation with Werner Vogels, in: ACM Queue, 4(4), 2006, 15.3.2008.

    Google Scholar 

  6. T. Gruber: Ontology of Folksonomy: A Mash-Up of Apples and Oranges, in: International Journal of Semantic Web and Information Systems, 3(1), 2007, pp. 1–11.

    Google Scholar 

  7. T. Gruber: Collective knowledge systems: Where the Social Web meets the Semantic Web, in: Web Semantics: Science, Services and Agents on the World Wide Web, 6(1), 2008, pp. 4–13.

    Google Scholar 

  8. D. Hinchcliffe: All We Got Was Web 1.0, When Tim Berners-Lee Actually Gave Us Web 2.0, Dion Hinchcliffe’s Web 2.0 Blog, 2006. 11.3.2008: http://web2.socialcomputingmagazine.com/

    Google Scholar 

  9. J.M. Kleinberg et al.: The Web as a Graph: Measurements, Models, and Methods, in: T. Asano et al. (Ed.): Lecture Notes in Computer Science, 1627, 1999, pp. 1–17.

    Google Scholar 

  10. J. Leskovec, J.M. Kleinberg and C. Faloutsos: Graph Evolution: Densification and Shrinking Diameters, in: ACM Transactions on Knowledge Discovery from data, 1(1), 2007.

    Google Scholar 

  11. G. Linden, J.A. Jacobi and E.A. Benson,: Collaborative Recommendations Using Item-to-Item Similarity Mappings, U.S. Patent 6,266,649 B1, 2001.

    Google Scholar 

  12. G. Linden, B. Smith and J. York: Amazon.com Recommendations Item-to-Item Collaborative Filtering, in: IEEE Internet Computing, January/February, 2003.

    Google Scholar 

  13. S.N. Lindstaedt & A. Ulbrich: Integration von Arbeiten und Lernen – Kompetenzentwicklung in Arbeitsprozessen, in: A. Blumauer & T. Pellegrini (Ed.): Semantic Web – Wege zur vernetzten Wissensgesellschaft, Springer Verlag, 2006.

    Google Scholar 

  14. R. MacManus: 10 Semantic Apps to Watch, in: ReadWriteWeb, 2007, 15.3.2008 http://www.readwriteweb.com/archives/10_semantic_apps_to_watch.php

    Google Scholar 

  15. P. Mika: Ontologies Are Us: A Unified model of Social Networks and Semantics, in: Lecture Notes in Computer Science, 3729, 2005, pp. 522–536.

    Google Scholar 

  16. J.S. Mitchell and M. Dewey: Dewey-Dezimalklassifikation DDC 22 und Register, 4 Bände, München: K.G. Saur, 2005.

    Google Scholar 

  17. M. Montaner, B. López and J.L. De la Rosa: A Taxonomy of Recommender Agents on the Internet, in: Artificial Intelligence Review, 19, 2003, pp. 285–330.

    Article  Google Scholar 

  18. J. Musser and T. O’Reilly: Web 2.0 Principles and Best Practices, in O’Reilly Radar, O’Reilly Media Inc., 2006.

    Google Scholar 

  19. M.E.J. Newman: The Structure and Function of Complex Networks, in: Society for Industrial and Applied Mathematics Review, 45(2), 2003, pp. 167–256.

    MATH  Google Scholar 

  20. M.E.J. Newman: Power laws, Pareto distributions and Zipf’s law, in: Contemporary Physics, 46, 2005.

    Google Scholar 

  21. T. O’Reilly: What Is Web 2.0 – Design Patterns and Business Models for the Next Generation of Software, 2005. 10.5.2006 http://www.oreillynet.com/lpt/a/6228

    Google Scholar 

  22. C.O. Paepke: Method for Predicting Ratings, U.S. Paten 6,249,785 B1, 2001.

    Google Scholar 

  23. L. Page & S. Brin et al.: The PageRank Citation Ranking: Bringing Order to the Web, 1998.

    Google Scholar 

  24. S.J. Russell & P. Norvig: Artificial Intelligence: A Modern Approach, Prentice Hall International, 2003.

    Google Scholar 

  25. N. Spivack: New Version of my „Metaweb“ Graph – The Future of the Net, in: Minding the Planet, 2004, 15.3.2008 http://novaspivack.typepad.com/ nova_spivacks_weblog/2004/04/new_version_of_.html

    Google Scholar 

  26. N. Spivack: Minding the Planet – The Meaning and Future of the Semantic Web, in: Minding the Planet, 2006, 15.3.2008 http://novaspivack.typepad.com/Minding_the_Planet_Article.pdf.

    Google Scholar 

  27. N. Spivack: Web 3.0 – The Best Official Definition Imaginable,in: Minding the Planet, 2007, 15.3.2008 http://novaspivack.typepad.com/nova_spivacks_ weblog/2007/10/web-30—-the-a.html

    Google Scholar 

  28. S. Staab et al.: Knowledge processes and ontologies, in: IEEE Intelligent Systems and Their Applications, 16(1), 2001, pp. 26–34.

    Article  MathSciNet  Google Scholar 

  29. P. Tan, S. Madnick and K. Tan: Context Mediation in the Semantic Web: Handling OWL Ontology and Data Disparity through Context Interchange, MIT Sloan Working Paper 4496-04, 2004.

    Google Scholar 

  30. T. vander Wal: Feed on This, in: Off the Top: Folksonomy Entries, 2004, 15.3.2008 http://www.vanderwal.net/random/category.php?cat=153

    Google Scholar 

  31. S. Wassermann and K. Faust: Social Network Analysis. Methods and Applications (Structural Analysis in the Social Sciences), Cambridge: Cambridge University Press, 1994.

    Google Scholar 

  32. C. Ziegler, L. Schmidt-Thieme and G. Lausen. Exploiting semantic product descriptions for recommender systems, IN. Proceedings of the 2nd ACM SIGIR Semantic Web and Information Retrieval Workshop, 2004.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ulbrich, A., Höfler, P., Lindstaedt, S. (2009). Modellierung von Anwenderverhalten im Social Semantic Web. In: Blumauer, A., Pellegrini, T. (eds) Social Semantic Web. X.media.press. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72216-8_9

Download citation

Publish with us

Policies and ethics