SYNTHESISE WEB QUERIES - Search the Web by Examples

Vishv Malhotra, Sunanda Patro, David Johnson

Abstract

An algorithm to synthesise a web search query from example documents is described. A user searching for information on the Web can use a rudimentary query to locate a set of potentially relevant documents. The user classifies the retrieved documents as being relevant or irrelevant to his or her needs. A query can be synthesised from these categorised documents to perform a definitive search with good recall and precision characteristics.

References

  1. Aho, A.V. and Ullman, J.D., 1992. Foundations of computer science, Computer Science Press, New York.
  2. Apte, C., Damerau, F.J., and Weiss, S.M., 1994. Automated Learning of Decision Rules for Text Categorisation, ACM Transactions on Information Systems, 3(12). 233-251.
  3. Brin, S. and Page, L., 1998. The anatomy of a large-scale hypertextual web search engine, J. Computer Networks and ISDN Systems, 30(1). 107-117.
  4. Patro, S. and Malhotra V. 2005, Characteristics of the Boolean web search query: Estimating success from characteristics, http://eprints.comp.utas.edu.au:81/ Sanchez, S.N., Triantaphyllou, E., Chen, J. and Liao, T.W., 2002. An Incremental Learning Algorithm for Constructing Boolean Functions from Positive and Negative Examples, Computers and Operations Research 29(12). 1677-1700.
  5. Sebastiani, F. 2002. Machine learning in automated text categorization, ACM Computing Surveys, 34(1): 1-47.
Download


Paper Citation


in Harvard Style

Malhotra V., Patro S. and Johnson D. (2005). SYNTHESISE WEB QUERIES - Search the Web by Examples . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 291-296. DOI: 10.5220/0002510202910296


in Bibtex Style

@conference{iceis05,
author={Vishv Malhotra and Sunanda Patro and David Johnson},
title={SYNTHESISE WEB QUERIES - Search the Web by Examples},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={291-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002510202910296},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - SYNTHESISE WEB QUERIES - Search the Web by Examples
SN - 972-8865-19-8
AU - Malhotra V.
AU - Patro S.
AU - Johnson D.
PY - 2005
SP - 291
EP - 296
DO - 10.5220/0002510202910296