@article{Jackson,
abstract = {Many approaches exist for ad-hoc information retrieval systems. These include key word searching, a variety of statistical models, and semantic indexing. A key issue for proper indexing is finding those concepts that are highly relevant in a given document. We have developed a novel approach to automatic semantic indexing based on a medico-linguistic ontology combined with a mathematical model. In this paper, we present empirical evidence that our method, contrary to a pure statistical approach, can be applied to very small documents, independent from any pre-existing corpus. At the other hand, it requires a large ontology that captures in detail a large portion of the semantics of a domain.},
author = {Jackson, Brian and Ceusters, Werner},
journal = {EFMI Workshop on Natural Language Processing \ldots},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
title = {{A novel approach to semantic indexing combining ontology-based semantic weights and in-document concept co-occurrences}},
url = {http://scholar.google.com/scholar?hl=en\&btnG=Search\&q=intitle:A+novel+approach+to+semantic+indexing+combining+ontology-based+semantic+weights+and+in-document+concept+co-occurrences+.\#0},
year = {2002}
}