Skip to main content

Author Disambiguation Using Wikipedia-Based Explicit Semantic Analysis

  • Conference paper
  • 2242 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7337))

Abstract

Author disambiguation suffers from the shortage of topical terms to identify authors. This study attempts to augment term-based topical representation of authors with the concept-based one obtained from Wikipedia-based explicit semantic analysis (ESA). Experiments showed that the use of additional ESA concepts improves author-resolving performance by 13.5%.

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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gabrilovich, E., Markovitch, S.: Overcoming the brittleness bottleneck using wikipedia: enhancing text categorization with encyclopedic knowledge. In: Proceedings of the 21st National Conference on Artificial intelligence, pp. 1301–1306 (2006)

    Google Scholar 

  2. Han, H., Giles, C.L., Zha, H.: A model-based k-means algorithm for name disambiguation. In: Proceedings of Semantic Web Technologies for Searching and Retrieving Scientific Data (2003)

    Google Scholar 

  3. Kang, I.S.: Disambiguation of author names using co-citation. Journal of Information Management 42(3), 167–186 (2011) (in Korean)

    Google Scholar 

  4. Kang, I.-S., Na, S.-H.: Disambiguating Author Names Using Automatic Relevance Feedback. In: Kim, T.-h., Gelogo, Y. (eds.) UNESST 2011. CCIS, vol. 264, pp. 239–244. Springer, Heidelberg (2011)

    Google Scholar 

  5. Pereira, D., Ribeiro-Neto, B., Ziviani, N., Laender, A.: Using Web information for author name disambiguation. In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 49–58 (2009)

    Google Scholar 

  6. Potthast, M., Stein, B., Anderka, M.: A Wikipedia-Based Multilingual Retrieval Model. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 522–530. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Song, Y., Huang, J., Councill, I., Li, J., Giles, C.L.: Efficient topic-based unsupervised name disambiguation. In: Proceedings of the ACM IEEE Joint Conference on Digital Libraries (JCDL), pp. 18–23 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kang, IS. (2012). Author Disambiguation Using Wikipedia-Based Explicit Semantic Analysis. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_46

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31178-9_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31177-2

  • Online ISBN: 978-3-642-31178-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics