Title :
Methodology for creating a sample subset of dynamic taxonomy to use in navigating medical text databases
Author :
Wollersheim, Dennis ; Rahayu, Wenny
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
The amount of text available in electronic form is increasing, especially since the rise of the Web. So too are the potential interconnections between concepts, given the advent of ontologies and other relationship based data sources. Text could be navigated using the structure from the ontologies, specifically, using dynamic taxonomies to navigate the is-a relationships. Dynamic taxonomies are rooted index structures that dynamically prune themselves in response to zoom requests. The use of dynamic taxonomies with existing ontologies, and in the medical field, is unexplored. This paper details the process of connecting index terms from a medical text database to a taxonomy extracted from an existing medical ontology.
Keywords :
information retrieval; knowledge engineering; medical computing; medical information systems; vocabulary; data sources; dynamic pruning; dynamic taxonomy; is-a relationships; medical text database; medical text database navigation; ontologies; rooted index structures; sample subset; zoom requests; Biomedical engineering; Classification tree analysis; Data engineering; Databases; Drugs; Hospitals; Navigation; Pathogens; Taxonomy;
Conference_Titel :
Database Engineering and Applications Symposium, 2002. Proceedings. International
Print_ISBN :
0-7695-1638-6
DOI :
10.1109/IDEAS.2002.1029680