Statistical Quantification of Analogical Correspondence in Knowledge Graphs

Authors

• Kara Combs, Air Force Research Laboratory
• Lance E. Champagne, Air Force Institute of TechnologyFollow
• Bruce A. Cox, Air Force Institute of TechnologyFollow
• Christine M. Schubert Kabban, Air Force Institute of TechnologyFollow
• Grace Lemming, Applied Research Solutions
• Trevor Bihl, Air Force Institute of TechnologyFollow

Document Type

Conference Proceeding

Publication Date

5-16-2026

Comments

© 2026 by Institute of Industrial & Systems Engineers (IISE) All rights reserved.

Current AFIT students, faculty and staff can access the full paper on ProQuest using their OpenAthens login, by clicking here.

Co-author Kara Combs was co-affiliated with AFIT at the time of this conference.

Source Publication

IISE Annual Conference and Expo 2026 (ISBN 979-8-3313-3919-7)

Recommended Citation

Combs, K., Champagne, L., Cox, B., Schubert Kabban, C. M., Lemming, G., & Bihl, T. (2026, May 16). Statistical Quantification of Analogical Correspondence in Knowledge Graphs. IISE Annual Conference and Expo 2026, IISE Annual Conference Proceedings. https://www.proquest.com/scholarly-journals/statistical-quantification-analogical/docview/3374575127.