A symbolic logic strategy for mapping biological concepts in the HERBE prototype

Author

Stephan, Eric G. ; Chin, George, Jr. ; Klicker, Kyle R. ; Corrigan, Abigail L. ; Sofia, Heidi J.

Author_Institution

Pacific Northwest Nat. Lab., Richland, WA, USA

fYear

2003

fDate

11-14 Aug. 2003

Firstpage

419

Lastpage

420

Abstract

More powerful database approaches are needed to support biologists in the efficient use of complex, large scale, and rapidly changing systems biology data. We are engaged in research to advance database strategies for capturing, managing, computing, and searching biological concepts in ways that are presently not possible. The Heuristic Entity Relationship Building Environment (HERBE) project is developing mechanisms to automate the translation of concepts into a computable form. HERBE features an open visual environment to collect diverse, complex data and, construct models graphically allowing users to apply their own symbolic logic. As data are entered, HERBE captures the data, then integrates and heuristically interprets underlying concepts into a computable form using a multitiered data management infrastructure.

Keywords

biology computing; data mining; database management systems; physiological models; prototypes; HERBE prototype; Heuristic Entity Relationship Building Environment project; biological concept capture; biological concept computing; biological concept management; biological concept mapping; biological concept search; changing systems biology data; database approach; model construction; multitiered data management infrastructure; open visual environment; symbolic logic strategy; Biological system modeling; Biology computing; Buildings; Large-scale systems; Logic; Power system management; Prototypes; Spatial databases; Systems biology; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE

Print_ISBN

0-7695-2000-6

Type

conf

DOI

10.1109/CSB.2003.1227352

Filename

1227352