Automatic indexing of PDF documents with ontologies. Anjewierden, A. & Kabel, S. 2001.
Paper abstract bibtex Indexing large bodies of data is necessary to enable satisfactory search results. Ontologies serve as fixed vocabularies to index data from different viewpoints. We describe how AIDAS, a software tool, automatically divides the source data (PDF documents) into reusable chunks, how it automatically indexes these chunks and stores them in a database to enable reuse. 1
@article{ anjewierden_automatic_2001,
title = {Automatic indexing of {PDF} documents with ontologies},
url = {http://hcs.science.uva.nl/usr/kabel/Bnaic.pdf},
abstract = {Indexing large bodies of data is necessary to enable satisfactory search results. Ontologies serve as fixed vocabularies to index data from different viewpoints. We describe how {AIDAS}, a software tool, automatically divides the source data ({PDF} documents) into reusable chunks, how it automatically indexes these chunks and stores them in a database to enable reuse. 1},
author = {Anjewierden, Anjo and Kabel, Suzanne},
year = {2001},
keywords = {automatic_indexing, ontologies}
}
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