Automatic indexing of PDF documents with ontologies
Anjo A. Anjewierden, Suzanne Kabel · 2001
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