Work

Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining

Year: 2004

Type: article

Abstract: Summary Successful biomedical data mining and information extraction require a complete picture of biological phenomena such as genes, biological processes, and diseases; as these exist on different levels of granularity. To realize this goal, several freely available heterogeneous databases as well as proprietary structured datasets have to be integrated into a single global customizable scheme. We will present a tool to integrate different biological data sources by mapping them to a proprietary biomedical ontology that has been developed for the purposes of making computers understand medical natural language.

Source: Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics

DOI: 10.1515/jib-2004-1

Authors: Jean-Luc Verschelde, Mariana Casella Dos Santos, Tom Deray, Barry Smith, Werner Ceusters

Institutions: University at Buffalo, State University of New York, Leipzig University

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $1,187

OpenAlex ID: W2168867570

FWCI: 1.657

Cites: 10

Cited by: 28

Related to: 10