Building a Better Stockbroker: Constructing an Ontology-Based Financial Knowledge Base
Abstract
Decision support systems are a rapidly growing class of computer programs used to assist middle and upper management in making decisions and planning. There are essentially three components to any decision support system: the knowledge base, the model (that is, the part that processes the data to make an informed decision), and the user interface. This project focused on building a knowledge base for a financial decision support system. It did so by creating an ontology, a formal representation (and abstract model) of knowledge as concepts within a domain such that it can be understood by a computer. By adding this layer of abstraction around Big Data, an ontology relieves users of the burden of managing enormous data complexity, freeing them to concentrate on the problem at hand.
ScholarWorks Citation
Westrick, Logan, "Building a Better Stockbroker: Constructing an Ontology-Based Financial Knowledge Base" (2014). 2014 Presentations. 15.
https://scholarworks.gvsu.edu/bigdata_conference2014/15
