In this document, we explore the Financial Industry Business Ontology (FIBO) with Ontotext’s GraphDB.
We use GraphDB to load FIBO, experiment with different reasoning profiles (how OWL 2 RL compares with RDFS), comprehend its structure using the Class Hierarchy diagram and explore it with the Visual Graph facility.
We also demonstrate how GraphDB can be used to combine OWL 2 RL reasoning and property paths to check the structural integrity of FIBO and familiarize ourselves with the structure.
Finally, we present a technique employing GraphDB’s similarity indexes that help facilitate the alignment of FIBO with other industry and regulatory vocabularies.
Who is this white paper for?
- people with broad financial industry knowledge
- people with deep knowledge of ontologies and how to manage them
What does this white paper include?
- How to load and explore FIBO in GraphDB;
- How to make Reasoning in GraphDB;
- Augmenting Reasoning with Property Paths;
- Analyzing the Graphs with SPARQL;
- Using FIBO in Business Context;
- Discovering Context With Semantic Tooling;
- …and more
About the author: Kevin Tyson is the chief consultant at Industrial Semantics LLC. He has over 40 years of experience building, designing an architecting large scale business critical systems for money center banks, brokerages, financial publishers and other participants in the Financial Services industry, including Citi, Bear Stearns and JPMorgan Chase and co.