Date of Award

Fall 12-1-2004

Document Type

Thesis

Degree Name

Master of Science in Information Systems (MSIS)

First Advisor

Zehai Zhou

Second Advisor

Ronghua Shan

Third Advisor

Omar El-Gayar

Abstract

Biocomplexity systems are quite complex in nature and involve nonlinear, chaotic and unpredictable behavior thus requiring highly innovative quantitative techniques in order to model their behavior. Such models are a national resource to be managed in an effort similar to the existing one for Biocomplexity data. In effect, the multidisciplinary nature of Biocomplexity research results in a need to integrate models from various disciplines and a need to exchange data and models among wide variety of users over time and space. The aim of this project is to explore a relatively new and integrated approach to managing Biocomplexity models. This approach can be used successfully for managing models from any discipline. The project also aims to investigate the use of structured modeling as a conceptual foundation for Biocomplexity model management and the use of Extensible Markup Language (XML) for meta-modeling based on the structured modeling approach. The main deliverables of the project are the Structured Modeling Markup Language (SMML) for representing Biocomplexity models, a set of model representations in SMML, a Web-based system that functions as a model repository that stores these models and allows for model sharing on the Internet. A model developer can upload models in XML to the system and a model consumer can search for a desired model and download it to a local machine. The third deliverable of the project is a windows application written using VB.Net that takes the model representation as input and generates a Solver dependent file for LINGO solver.

Comments

dsu-th-119

Download

Share

COinS