Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/1012294.1012297dlproceedingsArticle/Chapter ViewAbstractPublication PagesadcConference Proceedingsconference-collections
Article
Free access

Challenges in enterprise search

Published: 01 January 2004 Publication History

Abstract

Concerted research effort since the nineteen fifties has lead to effective methods for retrieval of relevant documents from homogeneous collections of text, such as newspaper archives, scientific abstracts and CD-ROM encyclopaedias. However, the triumph of the Web in the nineteen nineties forced a significant paradigm shift in the Information Retrieval field because of the need to address the issues of enormous scale, fluid collection definition, great heterogeneity, unfettered interlinking, democratic publishing, the presence of adversaries and most of all the diversity of purposes for which Web search may be used. Now, the IR field is confronted with a challenge of similarly daunting dimensions -- how to bring highly effective search to the complex information spaces within enterprises. Overcoming the challenge would bring massive economic benefit, but victory is far from assured. The present work characterises enterprise search, hints at its economic magnitude, states some of the unsolved research questions in the domain of enterprise search need, proposes an enterprise search test collection and presents results for a small but interesting sub-problem.

References

[1]
Mani Abrol, Neil Latarche, Uma Mahadevan, Jianchang Mao, Rajat Mukherjee, Prabhakar Raghavan, Michel Tourn, John Wang, and Grace Zhang. Navigating large-scale semi-structured data in business portals. In Proceedings of the 27th VLDB Conference, pages 663--666, Roma, Italy, 2001. www.vldb.org/conf/2001/P663.pdf.
[2]
Andrei Broder. A taxonomy of web search. ACM SIGIR Forum, 36(2), 2002. http://www.acm.org/sigir/forum/F2002/broder.pdf.
[3]
Nick Craswell, David Hawking, and Stephen Robertson. Effective site finding using link anchor information. In Proceedings of ACM SIGIR 2001, pages 250--257, New Orleans, 2001a. www.ted.cmis.csiro.au/nickc/pubs/sigir01.pdf.
[4]
Nick Craswell, David Hawking, Anne-Marie Vercoustre, and Peter Wilkins. P@noptic expert: Searching for experts not just for documents. In Poster Proceedings of AusWeb'01, 2001b./urlausweb.scu.edu.au/aw01/papers/edited/vercoustre/paper.htm.
[5]
Ronald Fagin, Ravi Kumar, Kevin S. McCurley, Jasmine Novak, D. Sivakumar, John A. Tomlin, and David P. Williamson. Searching the workplace web. In Proceedings of WWW2003, Budapest, Hungary, May 2003. www2003.org/cdrom/papers/refereed/p641/xhtml/p641-mccurley.html.
[6]
Susan Feldman and Chris Sherman. The high cost of not finding information. Technical Report #29127, IDC, April 2003. www.idc.com.
[7]
David Hawking, Nick Craswell, Francis Crimmins, and Trystan Upstill. Enterprise search: What works and what doesn't. In Proceedings of the Infonortics Search Engines Meeting, San Francisco, April 2002. www.infonortics.com/searchengines/sh02/02slides/hawking.pdf.
[8]
David Hawking, Francis Crimmins, Nick Craswell, and Trystan Upstill. How valuable is external link evidence when searching enterprise webs? In Proceedings of the Australasian Databases Conference ADC2004, Dunedin, New Zealand, January 2004.
[9]
S. E. Robertson, S. Walker, M. M. Hancock-Beaulieu, and M. Gatford. Okapi at TREC-3. In Proceedings of TREC-3, November 1994. NIST special publication 500-225.
[10]
Amit Singhal, Gerard Salton, Mandar Mitra, and Chris Buckley. Document length normalization. Technical Report TR95-1529, Department of Computer Science, Cornell University, Ithaca NY, 1995.
[11]
Dick Stenmark. Method for intranet search engine evaluations. In Proceedings of IRIS22, Department of CS/IS, University of Jyväskylä, Finland, August 1999. http://w3.informatik.gu.se/~dixi/publ/method.pdf.
[12]
Trystan Upstill, Nick Craswell, and David Hawking. Query-independent evidence in home page finding. ACM Transactions on Information Systems (TOIS), 21(3):286--313, 2003.
[13]
Ellen M. Voorhees, Narendra K. Gupta, and Ben Johnson-Laird. Learning collection fusion strategies. In Proceedings of ACM SIGIR'95, pages 172--179, 1995.

Cited By

View all
  • (2021)EmberProceedings of the VLDB Endowment10.14778/3494124.349414915:3(699-712)Online publication date: 1-Nov-2021
  • (2020)Model agnostic interpretability of rankers via intent modellingProceedings of the 2020 Conference on Fairness, Accountability, and Transparency10.1145/3351095.3375234(618-628)Online publication date: 27-Jan-2020
  • (2019)Understanding Faceted Search from Data Science and Human Factor PerspectivesACM Transactions on Information Systems10.1145/328410137:2(1-27)Online publication date: 11-Jan-2019
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image DL Hosted proceedings
ADC '04: Proceedings of the 15th Australasian database conference - Volume 27
January 2004
214 pages

Publisher

Australian Computer Society, Inc.

Australia

Publication History

Published: 01 January 2004

Author Tags

  1. enterprise search
  2. information retrieval
  3. search quality evaluation

Qualifiers

  • Article

Conference

ADC '04
01 01 2004
Dunedin, New Zealand

Acceptance Rates

Overall Acceptance Rate 98 of 224 submissions, 44%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)42
  • Downloads (Last 6 weeks)8
Reflects downloads up to 18 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2021)EmberProceedings of the VLDB Endowment10.14778/3494124.349414915:3(699-712)Online publication date: 1-Nov-2021
  • (2020)Model agnostic interpretability of rankers via intent modellingProceedings of the 2020 Conference on Fairness, Accountability, and Transparency10.1145/3351095.3375234(618-628)Online publication date: 27-Jan-2020
  • (2019)Understanding Faceted Search from Data Science and Human Factor PerspectivesACM Transactions on Information Systems10.1145/328410137:2(1-27)Online publication date: 11-Jan-2019
  • (2017)Exploratory information searching in the enterpriseJournal of the Association for Information Science and Technology10.1002/asi.2359568:1(77-96)Online publication date: 1-Jan-2017
  • (2016)What is Your Organization 'Like'?Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858540(3025-3037)Online publication date: 7-May-2016
  • (2015)FedWeb Greatest HitsProceedings of the 24th International Conference on World Wide Web10.1145/2740908.2742755(27-28)Online publication date: 18-May-2015
  • (2014)Distributed enterprise search using software agentsProceedings of the 2014 international conference on Autonomous agents and multi-agent systems10.5555/2615731.2616094(1623-1624)Online publication date: 5-May-2014
  • (2014)Enterprise search in the big data eraProceedings of the VLDB Endowment10.14778/2733004.27330717:13(1717-1718)Online publication date: 1-Aug-2014
  • (2014)Is enterprise search useful at all?Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business10.1145/2637748.2638425(1-8)Online publication date: 16-Sep-2014
  • (2012)Gumshoe quality toolkitProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398737(2716-2718)Online publication date: 29-Oct-2012
  • Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media