Skip to main content

A Visualization Service for the Semantic Web

  • Conference paper
Knowledge Engineering and Management by the Masses (EKAW 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6317))

Abstract

The Web presents an opportunity to openly collaborate and share visualizations of semantic web data. Many desktop tools for visually exploring ontologies exist; however, few researchers have investigated how visualizations could be used in an online environment to enhance the semantic web. In this paper, we present our experience with developing a visualization service for the semantic web. We discuss the advantages and challenges with moving to a web-based platform, as well as the features of the service through several case studies. We reflect on this experience and provide recommendations for future work and data integrations.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Benjamins, R., Contreras, J., Corcho, O., Gomez-Perez, A.: Six Challenges for the Semantic Web. In: KR 2002 Workshop on Formal Ontology, Knowledge Representation and Intelligent Systems for the Web (2002)

    Google Scholar 

  2. Brickley, D., Miller, L.: FOAF Vocabulary Specification (2005), http://xmlns.com/foaf/0.1

  3. Brodlie, K.: Visualization over the World Wide Web. In: Scientific Visualization Conference, pp. 23–29. IEEE Computer Society, Los Alamitos (1997)

    Google Scholar 

  4. Falconer, S.M., Storey, M.-A., Yamauchi, T.: CogZ: Evaluating Cognitive Support for Semi-Automatic Terminology Mapping (2009) (Under review)

    Google Scholar 

  5. Floyd, I.R., Jones, M.C., Rathi, D., Twidale, M.B.: Web Mash-ups and Patchwork Prototyping: User-driven technological innovation with Web 2.0 and Open Source Software. In: Proceedings of the 40th Annual Hawaii International Conference on System Sciences, pp. 86–96. IEEE Computer Society, Los Alamitos (2007)

    Google Scholar 

  6. Frost, J.H., Massagli, M.P.: Social Uses of Personal Health Information Within PatientsLikeMe, an Online Patient Community: What Can Happen When Patients Have Access to One Anothers Data. Journal of Medical Internet Research 10(3) (2008)

    Google Scholar 

  7. Hirsch, C., Hosking, J., Grundy, J.: Interactive Visualization Tools for Exploring the Semantic Graph of Large Knowledge Spaces. In: Workshop on Visual Interfaces to the Social and Semantic Web (2009)

    Google Scholar 

  8. Katifori, A., Halatsis, C., Lepouras, G., Vassilakis, C., Giannopoulou, E.: Ontology visualization methods—a survey. ACM Computing Surveys 39(4), 10–43 (2007)

    Article  Google Scholar 

  9. Mackinlay, J., Shneiderman, B.: Information visualization, Using Vision to Think. Academic Press, London (1999)

    Google Scholar 

  10. Wattenberg, M.: Baby Names, Visualization, and Social Data Analysis. In: INFOVIS 2005: Proceedings of the 2005 IEEE Symposium on Information Visualization, Washington, DC, USA, vol. 1. IEEE Computer Society, Los Alamitos (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Falconer, S.M., Callendar, C., Storey, MA. (2010). A Visualization Service for the Semantic Web. In: Cimiano, P., Pinto, H.S. (eds) Knowledge Engineering and Management by the Masses. EKAW 2010. Lecture Notes in Computer Science(), vol 6317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16438-5_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-16438-5_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16437-8

  • Online ISBN: 978-3-642-16438-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics