Journal Article

Automatic indexing of PDF documents with ontologies

  • Anjo Anjewierden S
13th Belgian/Dutch Conference on Artificial Intelligence (2001) 1-8
N/ACitations
Citations of this article
25Readers
Mendeley users who have this article in their library.

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

Cite

CITATION STYLE

APA

Anjo Anjewierden, S. K. (2001). Automatic indexing of PDF documents with ontologies. 13th Belgian/Dutch Conference on Artificial Intelligence, 1–8. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.90

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free