Template Mining for Information Extraction from Digital Documents.

Fuente: ERIC Institute of Education Sciences
Salvato in:
Dettagli Bibliografici
Autore principale: Chowdhury, Gobinda G.
Natura: Recurso educativo Open Access
Lingua:en
Pubblicazione: 1999
Soggetti:
Accesso online:
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author Chowdhury, Gobinda G.
author_facet Chowdhury, Gobinda G.
Chowdhury, Gobinda G.
collection Education Resources Information Center
contents Template Mining for Information Extraction from Digital Documents. Chowdhury, Gobinda G. Bibliographic Databases Content Analysis Information Retrieval Literature Reviews Metadata Natural Language Processing Search Strategies World Wide Web Reviews template mining research and shows how templates are used in World Wide Web search engines and metasearch engines for helping end-users generate natural language search expressions. Potential areas of application of template mining for extraction of information from digital documents are highlighted, and how such applications are used is indicated. Contains 60 references. (MES)
format Recurso educativo Open Access
id eric_EJ595489
institution ERIC Institute of Education Sciences
language en
publishDate 1999
record_format eric
spellingShingle Template Mining for Information Extraction from Digital Documents.
Chowdhury, Gobinda G.
Bibliographic Databases
Content Analysis
Information Retrieval
Literature Reviews
Metadata
Natural Language Processing
Search Strategies
World Wide Web
Template Mining for Information Extraction from Digital Documents. Chowdhury, Gobinda G. Bibliographic Databases Content Analysis Information Retrieval Literature Reviews Metadata Natural Language Processing Search Strategies World Wide Web Reviews template mining research and shows how templates are used in World Wide Web search engines and metasearch engines for helping end-users generate natural language search expressions. Potential areas of application of template mining for extraction of information from digital documents are highlighted, and how such applications are used is indicated. Contains 60 references. (MES)
title Template Mining for Information Extraction from Digital Documents.
topic Bibliographic Databases
Content Analysis
Information Retrieval
Literature Reviews
Metadata
Natural Language Processing
Search Strategies
World Wide Web
url https://eric.ed.gov/?id=EJ595489