Building a Better Stockbroker: Constructing an Ontology-Based Financial Knowledge Base


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.

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