Terminologies for text-mining; an experiment in the lipoprotein metabolism domain.

ABSTRACT:

Background

The engineering of ontologies, especially with a view to a text-mining use, is still a new research field. There does not yet exist a well-defined theory and technology for ontology construction. Many of the ontology design steps remain manual and are based on personal experience and intuition. However, there exist a few efforts on automatic construction of ontologies in the form of extracted lists of terms and relations between them.

Results

We share experience acquired during the manual development of a lipoprotein metabolism ontology (LMO) to be used for text-mining. We compare the manually created ontology terms with the automatically derived terminology from four different automatic term recognition (ATR) methods. The top 50 predicted terms contain up to 89%

SUBMITTER: Alexopoulou D 

PROVIDER: S-EPMC2367629 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature