Wednesday, October 10, 2018
08:00 AM - 05:00 PM
Semantic Technology: FIBO Tutorial on Applying Knowledge Graphs in the Financial Industry
Event: October 10-11, Chicago (in conjunction with the Data Architecture Summit)
Content: 12 hours
- Ontology Rationale - using ontologies and standards to address data incongruence
- Knowledge Graph Primer - understanding the core technical concepts needed for model-driven architecture (RDF, RDFS, SKOS, OWL) and query using SPARQL
- FIBO - leveraging the structure and content of the Financial Industry Business Ontology
- Collaboration using the FIBO Ecosystem - GitHub, JIRA, Jenkins, and the FIBO Wiki system
Ontology Rationale (90 minutes)
- Data as Meaning - Data is a representation of “real things” that can be described via precise identification, verifiable facts, and contextual relationships.
- Agreements and Obligations - Complexity requires shared meaning.
- Causes and Implications - the underlying reasons why data loses alignment
- Demystifying Ontology - moving from “location-based” to “meaning-based” processing
- Enterprise Knowledge Graph - the value of a common reusable Open World model using semantic technology
Knowledge Graph Primer (3 hours)
- Enterprise Knowledge Graphs - organizing and linking content across federated environments
- Ontology Languages - understanding RDF, RDFS, SKOS, OWL, and SPARQL
- Inferencing - the basics of description logic, classes, properties, and restrictions
- Implementation - constructing the graph and linked open data
Financial Industry Business Ontology (6 hours)
- FIBO Product Suite - review of FIBO Glossary, Data Dictionary, FIBO Vocabulary, Linked Data Fragments, Visual Ontology, UML models, OWL files, and Schema.org
- FIBO Maturity Levels - the distinctions between FIBO production and development
- Semantic Architecture - triple store processing, namespaces, and ontologies
- FIBO Concepts - understanding the classes, properties, and logical assertions within FIBO
- Conversion and Mapping - transforming CSV, XML, and relational databases into RDF to establish the conceptual mapping baseline
- Accessing FIBO - tools for reading, editing, extending, and embedding FIBO into applications
- Working with FIBO - URIs, namespaces, instances, property chains, and simple SPARQL queries
- Inferencing Basics - tools and techniques for implementing the inference rules within FIBO
The FIBO Ecosystem (90 minutes)
- Build, Test, Deploy, Maintain – understanding the FIBO development process
- FIBO Ecosystem – using GitHub and JIRA as the mechanisms for FIBO collaboration
Mike is a strategic advisor to the Enterprise Data Management Council - a business forum focused on data content management, best practices, ontology, and standards in the financial industry. Mike is recognized as an expert in data management and has been providing strategic advice to financial industry participants since 1985. He served as a member of the SEC Market Data Advisory Committee, the CFTC Technical Advisory Committee, various ISO Working Groups, and the Financial Stability Board’s Advisory Group for LEI. He was Chair of the Data and Technology Subcommittee for the US Treasury’s Financial Research Advisory Committee. For the past three years, Mike has been on the faculty of Columbia University teaching master’s degree candidates about the principles, practices, and operational realities of data management.
Dean Allemang is the author of the leading textbook on Semantic Technologies (Semantic Web for the Working Ontologist). Dean has trained over a thousand professionals on the application and deployment of Semantic Web technology. He is an experienced Data Management Consultant and Trainer in Semantic Technologies and sits on the design committees of several major international standards bodies. Dean currently directs Working Ontologist LLC, a consultancy that specializes in the development and deployment of semantic web solutions. His current industry focus is in Finance, Media, and Environmental Sustainability.
Dennis Wisnosky provides technical strategy and operational guidance to the EDM Council with regard to finalizing and implementing the FIBO standards. Dennis brings extensive experience of enterprise architecture, ontology development, and semantic web technology from his former role as the Chief Technology Officer and Chief Architect in the U.S. Department of Defense Business Mission Area, within the Office of the Deputy Chief Management Officer and his many years of system development and deployment in the private sector.
David Newman is Senior Vice President and Strategic Planning Manager for the Innovation Group at Wells Fargo Bank. David chairs the Financial Industry Business Ontology (FIBO) program for the Enterprise Data Management Council, which is an industry-wide initiative to develop semantic knowledge bases for the financial industry. FIBO is being developed as the next generation global financial data standard. At Wells Fargo, David provides leadership for innovation initiatives that utilize emerging technologies that will have a positive impact on Wells Fargo's customers and internal operations. David's area of concentration is the application of machine intelligence technologies to financial services. This includes a focus on semantic technologies, machine learning, natural language processing, and graph analytics. David also leads the Semantic Technology Community of Interest at Wells Fargo. David is a frequent speaker at technology, academic, and financial industry conferences. David holds an MBA in Information Technology and an MSW in Psychiatric Social Work.