Financial Industry Business Ontology
The Financial Industry Business Ontology (FIBO) is a global, standardized ontology (formal knowledge model) designed to represent financial concepts, terms, and their relationships in a precise, machine-readable way. It makes financial data unambiguous, so both humans and machines interpret it the same way. Think of it as a “dictionary + grammar + knowledge graph” for finance terms that all kinds of financial institutions, companies, and users of financial information can use to make financial data easier to manage and govern, fuel analytic tools, and optimize AI engines.
Developed and maintained by the EDM Association in collaboration with industry subject matter experts (SMEs), FIBO is open-source, rigorously governed, and used globally by scores of institutions committed to making their data more consistent and usable across their architectures.
FIBO provides a common, semantically precise, and machine-readable way to describe financial concepts and their relationships across systems, business units, companies, and supply chains. Built on knowledge graph technology, it can be used to bridge conventional (e.g., row-and-column) databases as well as support the critical foundation of trusted data for the most current (and future) AI engines.
For example, across a typical institution “counterparty,” “client,” and “customer” might mean different things across systems. With FIBO, all systems can map to a shared concept (e.g., Legal Entity / Party), and all relationships (ownership, contracts, exposures) are explicitly defined such that complex and critical analysis – traditional, graph-based, or AI – can be carried out.
FIBO is organized into modular domains covering all major areas of finance. Within each domain are defined:
The domains and the concepts can be viewed and navigated individually and as part of a larger knowledge graph using the EDM Association’s FIBO Viewer.
FIBO is available in RDF/OWL, and can be transformed into other formats and used with any analytical and data management tools. It is reviewed and updated quarterly by a team of ontologists and financial sector subject matter experts.
Explore the FIBO knowledge graph
Dive deep into the relationships of any domain
The most important emerging use for FIBO today is to optimize AI platforms because ontologies radically improve the ability for AI tools to use data to carry out better and more precise reasoning. As the ontology for finance, FIBO provides the semantic precision and structure to ensure that investments in AI really pay off.
Banks, investment companies, insurers, and a wide range of other financial institutions around the world have deployed FIBO across many other critical use cases, including:
Naturally, use of ontologies improves an organization’s data management such that conformance against EDM Association’s DCAM (Data Management Capability Assessment Model) is more complete, greater value for the organization.