Best Practices and Lessons Learned in Extending FIBO for Financial Control, Product Control, and Risk

This talk presents best practices and lessons learned through work conducted at Nordea Bank in applying semantics, FIBO, and business architecture methods to address regulatory requirements. We will explain collateral optimization at a very high level, present an overview of the methodology and approach used in extending FIBO, and discuss how these approaches were combined to create a road map for satisfaction of the regulatory requirement.

We will also outline the development strategy with both canned and live demonstrations of several of the tools in our toolbox, demonstrating several of the more important ones to highlight what can be done today. We will discuss some of the remaining gaps and suggest strategies for working around them, particularly for navigating a large number of existing, interrelated and independent ontologies for complex domains.

Elisa Kendall has 30+ years' professional experience in the design, development and deployment of enterprise-scale information management systems. Her focus includes business and information architecture, knowledge representation strategies, and ontology engineering for clients in financial services, government, healthcare, manufacturing, media, and travel domains. She has pioneered best practices for marrying business architecture, conceptual modeling, and traditional software engineering with semantics to address complex information management issues. Elisa represents business and information architecture concerns on the Object Management Group or OMG's Architecture Board and contributes to a number of OMG standards, including the Financial Industry Business Ontology (FIBO) effort. She has participated in the ISO JTC1 SC32 WG2 Metadata working group and was a member of the W3C OWL and Best Practices working groups.

see prior submission

Evren Sirin is co-founder and the Chief Technology Officer of Complexible Inc that develops Stardog, the leading semantic graph database. At Complexible, Evren leads research and development in the areas of semantic technologies, information management, and graph databases. Before joining Complexible, he received his Ph.D. in Computer Science from the University of Maryland, College Park, under the supervision of Jim Hendler where he published many papers in top-tier conferences and journals.