Advertisement

ESpotter: Adaptive Named Entity Recognition for Web Browsing

  • Jianhan Zhu
  • Victoria Uren
  • Enrico Motta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3782)

Abstract

Browsing constitutes an important part of the user information searching process on the Web. In this paper, we present a browser plug-in called ESpotter, which recognizes entities of various types on Web pages and highlights them according to their types to assist user browsing. ESpotter uses a range of standard named entity recognition techniques. In addition, a key new feature of ESpotter is that it addresses the problem of multiple domains on the Web by adapting lexicon and patterns to these domains.

Keywords

Name Entity Recognition Entity Recognition Text Segment Name Entity Recognition System Lexicon Entry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
  2. 2.
  3. 3.
  4. 4.
    KMi (Knowledge Media Institute), http://kmi.open.ac.uk
  5. 5.
    The Royal Society for the Protection of Birds, http://www.rspb.org.uk
  6. 6.
    Brin, S.: Extracting patterns and relations from the world wide web. In: Atzeni, P., Mendelzon, A.O., Mecca, G. (eds.) WebDB 1998. LNCS, vol. 1590, pp. 172–183. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  7. 7.
    Cimiano, P., Handschuh, S., Staab, S.: Towards the Self-Annotating Web. In: Proc. of WWW (2004)Google Scholar
  8. 8.
    Ciravegna, F.: Adaptive Information Extraction from Text by Rule Induction and Generalisation. In: Proc. of IJCAI (2001)Google Scholar
  9. 9.
    Cunningham, H.: GATE: a General Architecture for Text Engineering. Computers and the Humanities 36, 223–254 (2002)CrossRefGoogle Scholar
  10. 10.
    Dill, S., Eiron, N., Gibson, D., Gruhl, D., Guha, R., Jhingran, A., Kanungo, T., McCurley, K.S., Rajagopalan, S., Tomkins, A., Tomlin, J.A., Zien, J.Y.: A Case for Automated Large-Scale Semantic Annotation. Journal of Web Semantics 1(1), 115–132 (2003)Google Scholar
  11. 11.
    Domingue, J.B., Dzbor, M.: Magpie: Browsing and Navigating on the Semantic Web. In: Proc. of IUI (2004)Google Scholar
  12. 12.
    Grover, C., Gearailt, D.N., Karkaletsis, V., Farmakiotou, D., Pazienza, M.T., Vindigni, M.: Multilingual XML-Based Named Entity Recognition for E-Retail Domains. In: Proc. of the 3rd International Conference on Language Resources and Evaluation (LREC 2002), Las Palmas, pp. 1060–1067 (2002)Google Scholar
  13. 13.
    Gupta, S., Kaiser, G., Neistadt, D., Grimm, P.: DOM-based Content Extraction from HTML Documents. In: Proc. of WWW (2003)Google Scholar
  14. 14.
    Guthrie, L., Pustejowsky, J., Wilks, Y., Slator, B.M.: The Role of Lexicons in Natural Language Processing. CACM 39(1), 63–72 (1996)Google Scholar
  15. 15.
    Heflin, J., Hendler, J.: Searching the Web with Shoe. In: AAAI Workshop on AI for Web Search (2000)Google Scholar
  16. 16.
    Kan, M.-Y.: Web Page Categorization without the Web Pages. In: Proc. of WWW (2004)Google Scholar
  17. 17.
    Lei, Y., Lopez, V., Zhu, J.: Engineering Sustainable Semantic Web Sites (Submitted)Google Scholar
  18. 18.
    Perkowitz, M., Philipose, M., Fishkin, K., Patterson, D.J.: Mining Models of Human Activities from the Web. In: Proc. of WWW (2004)Google Scholar
  19. 19.
    Soderland, S.: Learning Information Extraction Rules for Semi-Structured and Free Text. Machine Learning 34(1), 233–272 (1999)MATHCrossRefGoogle Scholar
  20. 20.
    Vargas-Vera, M., Motta, E., Domingue, J.B., Lanzoni, M., Stutt, A., Ciravegna, F.: MnM: Ontology driven semi-automatic and automatic support for semantic markup. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 379–391. Springer, Heidelberg (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jianhan Zhu
    • 1
  • Victoria Uren
    • 1
  • Enrico Motta
    • 1
  1. 1.Knowledge Media InstituteThe Open UniversityMilton KeynesUK

Personalised recommendations