Mining Web Resources for Enhancing Information Retrieval

Introduction to the special topic section on mining Web resources for enhancing information retrieval

  1. Wai Lam1,
  2. Christopher C. Yang1,
  3. Filippo Menczer2

Article first published online: 23 JUL 2007

DOI: 10.1002/asi.20626

Issue

Journal of the American Society for Information Science and Technology

Journal of the American Society for Information Science and Technology

Volume 58, Issue 12, pages 1791–1792, October 2007

Additional Information

How to Cite

Lam, W., Yang, C. C., Menczer, F. (2007), Introduction to the special topic section on mining Web resources for enhancing information retrieval. J. Am. Soc. Inf. Sci., 58: 1791–1792. doi: 10.1002/asi.20626

Author Information

  1. 1

    Department of Systems Engineering and Engineering Management, William M. W. Mong Engineering Building, The Chinese University of Hong Kong, Shatin, Hong Kong, People's Republic of China

  2. 2

    School of Informatics, Indiana University, 1900 East Tenth Street, Bloomington, IN 47406

Publication History

  1. Issue published online: 24 SEP 2007
  2. Article first published online: 23 JUL 2007
  3. Manuscript Accepted: 4 JAN 2007

SEARCH

SEARCH BY CITATION

ARTICLE TOOLS

View Full Article (HTML) Get PDF (180K)

Abstract

The amount of information on the Web has been expanding at an enormous pace. There are a variety of Web documents in different genres, such as news, reports, reviews. Traditionally, the information displayed on Web sites has been static. Recently, there are many Web sites offering content that is dynamically generated and frequently updated. It is also common for Web sites to contain information in different languages since many countries adopt more than one language. Moreover, content may exist in multimedia formats including text, images, video, and audio.

View Full Article (HTML) Get PDF (180K)