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

39 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

General Business, Management and Accounting
General Decision Sciences

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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.",

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AU - Kruger, A.

AU - Giles, C. L.

AU - Coetzee, F. M.

AU - Glover, E.

AU - Flake, G. W.

AU - Lawrence, S.

AU - Omlin, C.

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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.

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DEADLINER: Building a New Niche Search Engine

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