Skip to main content
SpringerLink
Log in

Using Machine Learning to Support Continuous Ontology Development

  • 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

This paper presents novel algorithms to support the continuous development of ontologies; i.e. the development of ontologies during their use in social semantic bookmarking, semantic wiki or other social semantic applications. Our goal is to assist users in placing a newly added concept in a concept hierarchy. The proposed algorithm is evaluated using a data set from Wikipedia and provides good quality recommendation. These results point to novel possibilities to apply machine learning technologies to support social semantic applications.

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

Access this chapter

Log in via an institution
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. Braun, S., Kunzmann, C., Schmidt, A.: People Tagging & Ontology Maturing: Towards Collaborative Competence Management. In: From CSCW to Web2.0: European Developments in Collaborative Design. CSCW Series, pp. 133–154. Springer, London (2010)

    Chapter  Google Scholar 

  2. Braun, S., Schmidt, A., Walter, A., Nagypal, G., Zacharias, V.: Ontology Maturing: a Collaborative Web 2.0 Approach to Ontology Engineering. In: Proc. of the WWW 2007 Workshop on CKC, CEUR-WS, vol. 273 (2007)

    Google Scholar 

  3. Zacharias, V., Braun, S.: SOBOLEO - Social Bookmarking and Lightweight Ontology Engineering. In: Proc. of the WWW 2007 Workshop on CKC, CEUR-WS, vol. 273 (2007)

    Google Scholar 

  4. Braun, S., Schora, C., Zacharias, V.: Semantics to the Bookmarks: A Review of Social Semantic Bookmarking Systems. In: Proc. of the 5th I-SEMANTICS, pp. 445–454 (2009)

    Google Scholar 

  5. Krótzsch, M., Vrandecic, D., Vólkel, M., Haller, H., Studer, R.: Semantic Wikipedia. Journal of Web Semantics 5, 251–261 (2007)

    Article  Google Scholar 

  6. Mika, P.: Ontologies are us: A unified model of social networks and semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 522–536. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  7. Philippe, K.A., Ouksel, A.M.: Emergent Semantics Principles and Issues. In: Lee, Y., Li, J., Whang, K.-Y., Lee, D. (eds.) DASFAA 2004. LNCS, vol. 2973, pp. 25–38. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Damme, C.V., Coenen, T., Vandijck, E.: Deriving a Lightweight Corporate Ontology form a Folksonomy: a Methodology and its Possible Applications. Scalable Computing: Practice and Experience - Int. J. for Parallel and Distributed Computing 9(4), 293–301 (2008)

    Google Scholar 

  9. Angeletou, S., Sabou, M., Motta, E.: Improving Folksonomies Using Formal Knowledge: A Case Study on Search. In: Gómez-Pérez, A., Yu, Y., Ding, Y. (eds.) ASWC 2009. LNCS, vol. 5926, pp. 276–290. Springer, Heidelberg (2009)

    Google Scholar 

  10. Monachesi, P., Markus, T.: Using Social Media for Ontology Enrichment. In: Proc. of 7th ESWC, pp. 166–180. Springer, Heidelberg (2010)

    Google Scholar 

  11. Zhao, N., Fang, F., Fan, L.: An Ontology-Based Model for Tags Mapping and Management. In: Proc. of the Int. Conf. on CSSE, pp. 483–486. IEEE Computer Society, Los Alamitos (2008)

    Google Scholar 

  12. Heymann, P., Garcia-Molina, H.: Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems. Technical Report 2006-10, Stanford University (2006)

    Google Scholar 

  13. Markines, B., Cattuto, C., Menczer, F., Benz, D., Hotho, A., Stumme, G.: Evaluating Similarity Measures for Emergent Semantics of Social Tagging. In: Proc. of the 18th Int. Conf. on WWW, pp. 641–650. ACM, New York (2009)

    Google Scholar 

  14. Balby Marinho, L., Buza, K., Schmidt-Thieme, L.: Folksonomy-Based Collabulary Learning. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 261–276. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  15. Dey, A.K.: Understanding and using context. Personal and Ubiquitous Computing 5(1), 4–7 (2001)

    Article  MathSciNet  Google Scholar 

  16. Van Rijsbergen, C.: Information Retrieval. Butterworth-Heinemann Newton, USA (1979)

    MATH  Google Scholar 

  17. Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proc. of the 10th Int. Conf. on WWW, pp. 285–295. ACM, New York (2001)

    Google Scholar 

  18. Ramezani, M., Witschel, H.F.: An intelligent system for semi-automatic evolution of ontologies. In: Proceedings of 5th IEEE International Conference on Intelligent Systems IS 2010 (2010)

    Google Scholar 

  19. Siorpaes, K., Bachlechner, D.: Harvesting wiki consensus - using wikipedia entries as ontology elements. IEEE Internet Computing, 54–65 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. SAP Research, Karlsruhe, Germany

    Maryam Ramezani & Hans Friedrich Witschel

  2. FZI Forschungszentrum Informatik, Karlsruhe, Germany

    Simone Braun & Valentin Zacharias

Authors
  1. Maryam Ramezani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hans Friedrich Witschel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Simone Braun
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Valentin Zacharias
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Cognitive Interaction Technology Excellence Center (CITEC), Universität Bielefeld, Universitätsstraße 21-23, 33615, Bielefeld, Germany

    Philipp Cimiano

  2. IST/DEI, INESC-ID, Rua Alves Redol 9, 1000-029, Lisboa, Portugal

    H. Sofia Pinto

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ramezani, M., Witschel, H.F., Braun, S., Zacharias, V. (2010). Using Machine Learning to Support Continuous Ontology Development. 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_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-16438-5_28

  • 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

Search

Navigation