DEADLINER: Building a New Niche Search Engine

A. Kruger; C. L. Giles; F. M. Coetzee; E. Glover; G. W. Flake; S. Lawrence; C. Omlin

doi:10.1145/354756.354829

DEADLINER: Building a New Niche Search Engine

A. Kruger, C. L. Giles, F. M. Coetzee, E. Glover, G. W. Flake, S. Lawrence, C. Omlin

Research output: Contribution to conference › Paper › peer-review

37 Scopus citations

Abstract

We present DEADLINER, a search engine that catalogs conference and workshop announcements, and ultimately will monitor and extract a wide range of academic convocation material from the web. The system currently extracts speakers, locations, dates, paper submission (and other) deadlines, topics, program committees, abstracts, and affiliations. A user or user agent can perform detailed searches on these fields. DEADLINER was constructed using a methodology for rapid implementation of specialized search engines. This methodology avoids complex hand-tuned text extraction solutions, or natural language processing, by Bayesian integration of simple extractors that exploit loose formatting and keyword conventions. The Bayesian framework further produces a search engine where each user can control the false alarm rate on a field in an intuitive yet rigorous fashion.

Original language	English (US)
Pages	272-281
Number of pages	10
DOIs	https://doi.org/10.1145/354756.354829
State	Published - 2000
Event	9th International Conference on Information and Knowledge Management (CIKM 2000) - McLean, VA, United States Duration: Nov 10 2000 → …

Other

Other	9th International Conference on Information and Knowledge Management (CIKM 2000)
Country/Territory	United States
City	McLean, VA
Period	11/10/00 → …

All Science Journal Classification (ASJC) codes

Business, Management and Accounting(all)
Decision Sciences(all)

Access to Document

10.1145/354756.354829

Cite this

@conference{636cc61d09c84c0ea9765d4b618d4cf4,

title = "DEADLINER: Building a New Niche Search Engine",

abstract = "We present DEADLINER, a search engine that catalogs conference and workshop announcements, and ultimately will monitor and extract a wide range of academic convocation material from the web. The system currently extracts speakers, locations, dates, paper submission (and other) deadlines, topics, program committees, abstracts, and affiliations. A user or user agent can perform detailed searches on these fields. DEADLINER was constructed using a methodology for rapid implementation of specialized search engines. This methodology avoids complex hand-tuned text extraction solutions, or natural language processing, by Bayesian integration of simple extractors that exploit loose formatting and keyword conventions. The Bayesian framework further produces a search engine where each user can control the false alarm rate on a field in an intuitive yet rigorous fashion.",

author = "A. Kruger and Giles, {C. L.} and Coetzee, {F. M.} and E. Glover and Flake, {G. W.} and S. Lawrence and C. Omlin",

note = "Publisher Copyright: {\textcopyright} ACM 2000.; 9th International Conference on Information and Knowledge Management (CIKM 2000) ; Conference date: 10-11-2000",

year = "2000",

doi = "10.1145/354756.354829",

language = "English (US)",

pages = "272--281",

}

TY - CONF

T1 - DEADLINER

T2 - 9th International Conference on Information and Knowledge Management (CIKM 2000)

AU - Kruger, A.

AU - Giles, C. L.

AU - Coetzee, F. M.

AU - Glover, E.

AU - Flake, G. W.

AU - Lawrence, S.

AU - Omlin, C.

PY - 2000

Y1 - 2000

N2 - We present DEADLINER, a search engine that catalogs conference and workshop announcements, and ultimately will monitor and extract a wide range of academic convocation material from the web. The system currently extracts speakers, locations, dates, paper submission (and other) deadlines, topics, program committees, abstracts, and affiliations. A user or user agent can perform detailed searches on these fields. DEADLINER was constructed using a methodology for rapid implementation of specialized search engines. This methodology avoids complex hand-tuned text extraction solutions, or natural language processing, by Bayesian integration of simple extractors that exploit loose formatting and keyword conventions. The Bayesian framework further produces a search engine where each user can control the false alarm rate on a field in an intuitive yet rigorous fashion.

AB - We present DEADLINER, a search engine that catalogs conference and workshop announcements, and ultimately will monitor and extract a wide range of academic convocation material from the web. The system currently extracts speakers, locations, dates, paper submission (and other) deadlines, topics, program committees, abstracts, and affiliations. A user or user agent can perform detailed searches on these fields. DEADLINER was constructed using a methodology for rapid implementation of specialized search engines. This methodology avoids complex hand-tuned text extraction solutions, or natural language processing, by Bayesian integration of simple extractors that exploit loose formatting and keyword conventions. The Bayesian framework further produces a search engine where each user can control the false alarm rate on a field in an intuitive yet rigorous fashion.

UR - http://www.scopus.com/inward/record.url?scp=85139707569&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85139707569&partnerID=8YFLogxK

U2 - 10.1145/354756.354829

DO - 10.1145/354756.354829

M3 - Paper

AN - SCOPUS:85139707569

SP - 272

EP - 281

Y2 - 10 November 2000

ER -

DEADLINER: Building a New Niche Search Engine

Abstract

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this