A practical multi-ontology approach to knowledge exploration

Author

Merrill, Gary H.

Author_Institution

Data Exploration Sci., GlaxoSmithKline Res. & Dev., Research Triangle Park, NC, USA

fYear

2004

fDate

12-15 Oct. 2004

Firstpage

97

Lastpage

108

Abstract

Babylon Knowledge Explorer is an open source based platform for developing knowledge exploration and data mining applications. As a strongly ontology-driven information system, it rests on an approach and solution to the challenges of using pre-existing large ontologies in scientific domains. The aim of this paper is to describe the model of ontology representation employed by BKE and how this model supports a strategy and methodology facilitating application of these preexisting ontologies to real-world problems of knowledge discovery in large document corpora and databases. Sufficient detail of design and architecture is provided, together with some sketch of the open source implementation, to allow others to make use of this approach.

Keywords

data mining; medical information systems; ontologies (artificial intelligence); public domain software; very large databases; Babylon Knowledge Explorer; data mining; knowledge discovery; knowledge exploration; large databases; large document corpora; multi-ontology approach; ontology-driven information system; open source; Biomarkers; Data mining; Databases; Dictionaries; Drugs; Information systems; Ontologies; Pharmaceuticals; Taxonomy; Thesauri;

fLanguage

English

Publisher

ieee

Conference_Titel

Biotechnology and Bioinformatics, 2004. Proceedings. Technology for Life: North Carolina Symposium on

Print_ISBN

0-7803-8826-7

Type

conf

DOI

10.1109/SBB.2004.1364382

Filename

1364382