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Evan K. Wallace (Fed)

Evan Wallace is an electronic engineer in the Systems Engineering Group under the Systems Integration Division (SID) of the Engineering Laboratory (EL) at the National Institute of Standards and Technology (NIST). He joined NIST in 1984. His current responsibilities include investigating architectures, standards, and practices to enable smart manufacturing. His focus has been on models, languages, technologies and standards for system integration for manufacturing and other technical domains with a concentration on ontologies and conceptual modeling. He was a member of the NIST Smart Grid Framework and Roadmap team, and a key member of the standards group developing the ASHRAE Facility Smart Grid Information Model (FSGIM). He was a co-editor of the latest Web Ontology Language (OWL) recommendation and represented NIST in other Semantic Web standards groups. He is a co-chair of the Ontology Special Interest Group at OMG and championed the development of the Ontology Definition Meta-model (ODM) specification and the Data Acquisition for Industrial Systems (DAIS) specification at OMG. He was also a member of the SP-95 working group at ISA that developed part 1 of the ISA-95 standard for Enterprise – Control System Integration.

Selected Publications

The AMIS Approach to Systems Integration: An Overview

Author(s)
Donald E. Libes, Edward J. Barkmeyer Jr., Peter O. Denno, David Flater, Michelle P. Steves, Evan K. Wallace, Allison Barnard Feeney
This paper is an overview of the AMIS (Automated Methods for Integrating Systems) project approach to systems integration. The objective of the AMIS project is

The Challenges of Automated Methods for Integrating Systems

Author(s)
Donald E. Libes, David Flater, Evan K. Wallace, Michelle P. Steves, Allison Barnard Feeney, Edward J. Barkmeyer Jr.
Automated methods for integrating systems (AMIS) have been presented as a new approach to solving the dilemmas of multiple and uncoordinated standards

Publications

Implementing Grain Traceability Standards: CART and Simulation

Author(s)
Frank H. Riddick, Evan K. Wallace, Scott Nieman, Joe Tevis, R. A. Ferreyra
To ensure food safety, food manufacturers need the ability to quickly identify and trace food products to all equipment and processes throughout the entire
Created April 2, 2019, Updated December 8, 2022