Fabian Kaiser, Holger Schwarz, Mihály Jakob


In this paper, we present an integrated approach on finding experts for arbitrary user defined topics on the World Wide Web. We discuss the special challenges that come along with this issue and why solely applying standard techniques and standard tools like Web search engines is not suitable. We point out the necessity for a dedicated expert search engine, based on a Focused Crawler. The main contribution of our work is an approach to integrate standard Web search engines into the process of searching for experts to utilize the search engines’ knowledge about content and structure of the Web.


  1. Brin, S. & Page, L. (1998). The Anatomy of a Large-Scale Hypertextual Web Search Engine. In Proc. of the 7th International World Wide Web Conference.
  2. Chakrabarti, S., van der Berg, M. & Dom, B. (1999). Focused crawling: a new approach to topic-specific web resource discovery. In Proc. of the 8th International World Wide Web Conference.
  3. Diligenti, M., Coetzee, F., Lawrence, S., Giles, C. & Gori, M. (2000). Focused Crawling using Context Graphs. In Proc. of the 26th VLDB.
  4. Heeren, F. & Sihn, W. (2002). Xpertfinder - message analysis for the recommendation of contact persons within defined topics. In Proc. of the 6th IEEE AFRICON.
  5. Henzinger, M., Motwani, R. & Silverstein, C. (2002). Challenges in Web Search Engines. In SIGIR Forum Vol. 36, No 2.
  6. Jansen, B., Spink, A. & Pedersen, J. (2005) A temporal comparison of AltaVista Web searching. In Journal of the American Society for Information Science and Technology, Vol. 56, Issue 6.
  7. Koivunen, M. &Miller, E. (2001). W3C Semantic Web Activity. In Proc. of the Semantic Web Kick-off Seminar in Finland.
  8. McDonald, D. & Ackerman, M. (2000). Expertise Recommender: A Flexible Recommendation System and Architecture. In Proc. of the 2000 ACM Conference on Computer Supported Cooperative Work.
  9. Mikheev, A., Moens, M. & Grover, C. (1999). Named entity recognition without gazetteers. In Proc. of EACL 1999.
  10. Palmer, D. & Day, D. (1997). A Statistical Profile of the Named Entity Task. In Proc. of the 5th Conference on Applied Natural Language Processing.
  11. Salton, G. & McGill, M. (1983). Introduction To Modern Information Retrieval. McGraw-Hill, Singapore.
  12. Song, R., Liu, H., Wen, J. & Ma, W. (2004). Learning Block Importance Models for Web Pages. In Proc. of the 13th World Wide Web Conference.
  13. Trier, M. (2005). A Tool for IT-supported Visualization and Analysis of Virtual Communication Networks in Knowledge Communities. In Proc. of the Wirtschaftsinformatik 2005.
  14. Yimam, D. & Kobsa, A. (2002). Expert Finding Systems for Organizations: Problem and Domain Analysis and the DEMOIR Approach. In Beyond Knowledge Management: Sharing Expertise. M. Ackerman, A. Cohen, V. Pipek and V. Wulf.

Paper Citation

in Harvard Style

Kaiser F., Schwarz H. and Jakob M. (2006). FINDING EXPERTS ON THE WEB . In Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-972-8865-46-7, pages 363-368. DOI: 10.5220/0001252703630368

in Bibtex Style

author={Fabian Kaiser and Holger Schwarz and Mihály Jakob},
booktitle={Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},

in EndNote Style

JO - Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
SN - 978-972-8865-46-7
AU - Kaiser F.
AU - Schwarz H.
AU - Jakob M.
PY - 2006
SP - 363
EP - 368
DO - 10.5220/0001252703630368