skip to main content
research-article
Free Access

Enterprise Search: Tough Stuff: Why is it that searching an intranet is so much harder than searching the Web?

Published:01 April 2004Publication History
Skip Abstract Section

Abstract

The last decade has witnessed the growth of information retrieval from a boutique discipline in information and library science to an everyday experience for billions of people around the world. This revolution has been driven in large measure by the Internet, with vendors focused on search and navigation of Web resources and Web content management. Simultaneously, enterprises have invested in networking all of their information together to the point where it is increasingly possible for employees to have a single window into the enterprise. Although these employees seek Web-like experiences in the enterprise, the Internet and enterprise domains differ fundamentally in the nature of the content, user behavior, and economic motivations.

References

  1. 1. Fagin, R., Kumar, R., McCurley, K., Novak, J., Sivakumar, D., Tomlin, J. A., and Williamson, D. P. Searching the workspace Web. Proceedings of the 12th International World Wide Web Conference, Budapest, Hungary (May 2003) 366-375. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2. Raghavan, P. Structured and unstructured search in enterprises. Data Engineering 24, 4 (Dec. 2001) 15-18.Google ScholarGoogle Scholar
  3. 3. Hawking, D. Challenges in enterprise search. Proceedings of the Australasian Database Conference, Dunedin, New Zealand (Jan. 2004) 15-24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 4. Brin, S., and Page, L. The anatomy of a large-scale hypertextual Web search engine. Proceedings of the 7th International World Wide Web Conference, Brisbane, Australia (1998) 107-117. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5. Kleinberg, J. M. Authoritative sources in a hyperlinked environment. Journal of the ACM 46, 5 (1999) 604-632. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6. These algorithms are often exploited on the Internet via spam and page manipulation, making them less effective.Google ScholarGoogle Scholar
  7. 7. Many applications derive immediate ROI (return on investment) when offloading the search component from the database engine to enterprise search software.Google ScholarGoogle Scholar
  8. 8. Abrol, M., Latarche, N., Mahadevan, U., Mao, J., Mukherjee, R., Raghavan, P., Tourn, M., Wang, J., and Zhang, G. Navigating large-scale semi-structured data in business portals. Proceedings of the 27th VLDB Conference, Rome, Italy (2001) 663-666. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9. Dumais, S. T., Cutrell, E., and Chen, H. Optimizing search by showing results in context. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Seattle, Washington (March 2001) 277-284. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10. Chung, C., Lieu, R., Liu, J., Luk, A., Mao, J., Raghavan, P. Thematic mapping--from unstructured documents to taxonomies. Proceedings of the Conference on Information and Knowledge Management, McLean, Virginia (2002) 608-610. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 11. Dumais, S. T., Platt, J., Heckerman, D., and Sahami, M. Inductive learning algorithms and representations for text categorization. Proceedings of the Conference on Information and Knowledge Management, Bethesda, Maryland (1998) 148-155. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 12. Choo, K., Mukherjee, R., Smair, R., and Zhang, W. The Verity federated infrastructure. Proceedings of the Conference on Information and Knowledge Management, McLean, Virginia (2002) 621. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Enterprise Search: Tough Stuff: Why is it that searching an intranet is so much harder than searching the Web?

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in

        Full Access

        • Published in

          cover image Queue
          Queue  Volume 2, Issue 2
          Search Engines
          April 2004
          72 pages
          ISSN:1542-7730
          EISSN:1542-7749
          DOI:10.1145/988392
          Issue’s Table of Contents

          Copyright © 2004 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 April 2004

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
          • Popular
          • Pre-selected

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format .

        View HTML Format