Title :
An Ontology for the Integration of Multiple Genetic Disorder Data Sources
Author :
Gong, P. ; Qu, W. ; Feng, D.D.
Author_Institution :
Sch. of Information Technol., Sydney Univ., NSW
Abstract :
As a huge amount of gene disorder information is available on the Internet, there is an increasing requirement to integrate these data sources. The integration of gene disorder data sources provides an important tool in the research of life science, therapeutics, and genetic disease prevention and inhibition. The key challenge of such integration is how to deal with semantic heterogeneity of multiple information resources. The paper proposes an ontology-based approach to describe and extract the semantics of genetic disorder terminologies and provides a mechanism for sharing and reusing genetic disorder knowledge. According to this unified meta model, heterogeneous gene disorder data sources can be integrated, and a semantic middleware has the ability to do reasoning on the knowledge base of gene disorder for users and applications´ various queries
Keywords :
cellular biophysics; genetics; medical information systems; middleware; ontologies (artificial intelligence); semantic networks; gene disorder information; heterogeneous gene disorder data sources; multiple genetic disorder data sources; multiple information resources; ontology; semantic heterogeneity; semantic middleware; unified meta model; Bioinformatics; Biomedical engineering; Cells (biology); Data mining; Databases; Diseases; Genetic mutations; Information technology; Ontologies; Terminology;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617061