Elisa Kendall

Biography

Elisa F. Kendall is a Partner in Thematix Partners LLC, lead ontologist for the EDM Council, and a graduate-level lecturer in computer science, focused on data management, data governance, knowledge representation, and decisioning systems. She represents knowledge representation, ontology, information architecture, and data management concerns on the Object Management Group (OMG)’s Architecture Board, and is an OMG liaison to ISO for metadata standards and finance working groups.

Talks and Events

2022 Talk: A Standard Ontology Library Of Patterns For Cross-Domain Reuse

Key high-level modeling patterns have been identified over the last several years that are increasingly replacing ad hoc components of the Financial Industry Business Ontology (FIBO). Testing with user/contributor data sets has proven that reusing these patterns increases user understanding as well as efficiency in applications of such a large and complex ontology. Some are similar to patterns found in other pattern libraries, but others are novel. FIBO participants with cross-industry experience recognized the need for the same patterns in biomedical informatics, retail, robotics, and other domain areas where ontologies have been proposed for standardization at the Object Management Group (OMG), but they are also relevant for the Industrial Ontology Foundry (IOF), for example. Standardization of an initial domain independent library designed for extensibility is underway at the OMG, with publication anticipated later this year. In this talk, Ms. Kendall will present the original motivation from an OMG-perspective, which is to enable the use of multiple vocabularies with model-based development and systems engineering. She will outline the criteria for inclusion and describe some of the patterns in the library, including examples of their application in specific domain areas such as finance and retail.

2020 Talk: Using FIBO: A Use-Case Driven Cooks Tour

The Financial Industry Business Ontology (FIBO) has matured in significant areas over the last few years, but until recently there were few examples to help users understand how to interpret it and build it into their own knowledge graphs. Since early 2019, the FIBO development team has been focused primarily on use cases to address the steep learning curve:

• How to represent businesses and incorporate data about them that is publicly available, such as identifiers, locations, ownership and control information and other details from the Global Legal Entity Identifier Foundation (GLEIF), Open Corporates, state and government registries, etc.,
• How to use that information to investigate counterparty relationships,
• How to build on that baseline to represent securities (stocks, bonds, etc.) issued by these organizations,
• How to leverage those securities to represent the components of an index and track index performance, such as the Dow Jones Industrial Average,
• How to use this information to represent more complex derivative instruments. In this talk, we will take a quick cook’s tour through some of the more basic use cases and related ontologies. The approach that FIBO has taken to build a use case stack that can be used to demonstrate the value of knowledge graphs translates well to most domain-specific projects. The use cases, ontologies, and reference and example data are all publicly available and open source. While some of the work is still underway, the basic building blocks are in place. Conference participants can download and try them, and the cook’s tour is intended to provide enough of an introduction to help make that feasible.

View the complete talk in the KGC media library.