DocumentCode
1597882
Title
Ontology-Based Aggregation of Biological Pathway Datasets
Author
Jiang, Keyuan ; Nash, Christopher
Author_Institution
Dept. of Comput. Inf. Syst. & Inf. Technol., Purdue Univ. Calumet, Hammond, IN
fYear
2006
Firstpage
7742
Lastpage
7745
Abstract
The massive accumulation of biological data in the past decades has generated a significant amount of biological knowledge which is represented in one way as biological pathways. The existence of over 150 pathway databases reflects the diversity of the biological data and heterogeneity of data models, storage formats and access methods. To address an intriguing biological question, it is not uncommon for a biologist to query more one pathway database to acquire a more complete picture of current understanding of biology. To facility life scientists in searching biological pathway data, we designed a biological pathway aggregator which aggregates various pathway datasets via the BioPAX ontology, a community-developed ontology based upon the concept of semantic Web for integrating and exchanging biological pathway data. Our aggregator is composed of modules that retrieve the data from various sources, transform the raw data to BioPAX format, persist the converted data in the persistent data store, and enable queries by other applications
Keywords
medical computing; medical information systems; ontologies (artificial intelligence); semantic Web; BioPAX ontology; access methods; aggregation; biological pathway aggregator; biological pathway datasets; community-developed ontology; data models; data retrieval; ontology; raw data transformation; semantic Web; storage formats; Biological system modeling; Biology computing; Data models; Data structures; OWL; Ontologies; Spatial databases; Systems biology; Visual databases; Vocabulary; Data aggregation; ontology; pathway databases; semantic web;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEMBS.2005.1616307
Filename
1616307
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