short-paper

Course specific search engines: a study in incorporating context into search

Author:

Neel GuhaAuthors Info & Claims

ESAIR '13: Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval

Pages 33 - 36

https://doi.org/10.1145/2513204.2513216

Published: 28 October 2013 Publication History

Get Access

References

[1]

Confederate american pride (http://confederateamericanpride.com).

Google Scholar

[2]

R. Bhagdev, S. Chapman, F. Ciravegna, V. Lanfranchi, and D. Petrelli. Hybrid search: Effectively combining keywords and semantic searches. In The Semantic Web: Research and Applications, pages 554--568. Springer, 2008.

Digital Library

Google Scholar

[3]

D. Bonino, F. Corno, L. Farinetti, and A. Bosca. Ontology driven semantic search. WSEAS Transaction on Information Science and Application, 1(6):1597--1605, 2004.

Google Scholar

[4]

K. Collins-Thompson, P. N. Bennett, R. W. White, S. de la Chica, and D. Sontag. Personalizing web search results by reading level. In Proceedings of the 20th ACM international conference on Information and knowledge management, pages 403--412. ACM, 2011.

Digital Library

Google Scholar

[5]

N. Guha and M. Wytock. Course-specific search engines: semi-automated methods for identifying high quality topic-specific corpora. In Web of Linked Entities Workshop, WWW 2013.

Digital Library

Google Scholar

[6]

R. Guha, R. McCool, and E. Miller. Semantic search. In Proceedings of the 12th international conference on World Wide Web, pages 700--709. ACM, 2003.

Digital Library

Google Scholar

[7]

J. Hendler. Web 3.0: the dawn of semantic search. Computer, 43(1):77--80, 2010.

Digital Library

Google Scholar

[8]

D. M. Kennedy, L. Cohen, and T. A. Bailey. The American Pageant, Twelfth Edition. Wadsworth Publishing, 2002.

Google Scholar

[9]

X. Liu, W. B. Croft, P. Oh, and D. Hart. Automatic recognition of reading levels from user queries. In Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pages 548--549. ACM, 2004.

Digital Library

Google Scholar

Index Terms

Course specific search engines: a study in incorporating context into search
1. Information systems
  1. Information retrieval

Recommendations

An improved KNN algorithm for vertical search engines
WISM'11: Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II

Secondary Data Processing deals the information further by recrawling and categories based on the basic of structured data. It is the key researching module of Vertical Search Engines. This paper proposes an improved KNN algorithm for the categories. ...
SMS-based contextual web search
MobiHeld '09: Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds

SMS-based web search is different from traditional web search in that the final response to a search query is limited to a very small number of bytes (typically 1-2 SMS messages, 140 bytes each). SMS-based web search is also a non-interactive search ...
Placing search in context: the concept revisited

Keyword-based search engines are in widespread use today as a popular means for Web-based information retrieval. Although such systems seem deceptively simple, a considerable amount of skill is required in order to satisfy non-trivial information needs. ...

Comments

Information & Contributors

Information

Published In

ESAIR '13: Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval

October 2013

68 pages

ISBN:9781450324137

DOI:10.1145/2513204

General Chairs:
Paul N. Bennett
Microsoft Research, Redmond WA, USA
,
Evgeniy Gabrilovich
Google, Mountain View, CA, USA
,
Jaap Kamps
University of Amsterdam, The Netherlands
,
Jussi Karlgren
Gavagai Stockholm, Sweden

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: 28 October 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Conference

CIKM'13

Sponsor:

CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

October 28, 2013

California, San Francisco, USA

Acceptance Rates

ESAIR '13 Paper Acceptance Rate 14 of 21 submissions, 67%;

Overall Acceptance Rate 35 of 55 submissions, 64%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
84
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 30 Aug 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

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

Index Terms

Recommendations

An improved KNN algorithm for vertical search engines

SMS-based contextual web search

Placing search in context: the concept revisited

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Other Metrics

Article Metrics

Other Metrics

Login options

Full Access

PDF

eReader

References

Index Terms

Recommendations

An improved KNN algorithm for vertical search engines

SMS-based contextual web search

Placing search in context: the concept revisited

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations