Ontology-guided data preparation for discovering genotype-phenotype relationships.

ABSTRACT:

Background

Complexity and amount of post-genomic data constitute two major factors limiting the application of Knowledge Discovery in Databases (KDD) methods in life sciences. Bio-ontologies may nowadays play key roles in knowledge discovery in life science providing semantics to data and to extracted units, by taking advantage of the progress of Semantic Web technologies concerning the understanding and availability of tools for knowledge representation, extraction, and reasoning.

Results

This paper presents a method that exploits bio-ontologies for guiding data selection within the preparation step of the KDD process. We propose three scenarios in which domain knowledge and ontology elements such as subsumption, properties, class descriptions, are taken into account for da

SUBMITTER: Coulet A 

PROVIDER: S-EPMC2367630 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature