Design For Change: Ontology-Driven Knowledgebase Applications For Dynamic Biological Domains
Public Deposited- Last Modified
- February 28, 2019
- Creator
-
Parmelee, Mary
- Affiliation: School of Information and Library Science
- Abstract
- Post-genomic biology is producing a plethora of rapidly changing complex data. Yet extracting useful information from this data is limited by current knowledge management methodologies. Biological knowledge management is complicated by ambiguous nomenclature, cultural differences between biologists and computer scientists, and conventional database technology that was not designed to support rapidly changing complex domains. A recent trend in ontology-driven database design has emerged to address this challenge. While ontologies provide effective knowledge models, attempts to transform ontologies into knowledgebases have revealed an impedance mismatch or ontology transformation gap. A unique methodology called Ultra-Structure Theory (UT) may provide an ontology transform solution that supports large scale, dynamic biological domains by expressing the complexity in data rather than programming code. This thesis aims to survey ontology and database theory and methodologies, and describe how UT integrates and extends them to provide a flexible, semantically expressive knowledgebase solution using standard relational database technology.
- Date of publication
- November 2002
- Subject
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Hemminger, Bradley M.
- Degree granting institution
- University of North Carolina at Chapel Hill
- Language
- Extent
- 105 p.
- Access right
- Open access
- Date uploaded
- December 10, 2010
Relations
- Parents:
This work has no parents.
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