Situation Awareness Publications of Kenneth Paul Baclawski

1. K. Baclawski, M. Malczewski, M. Kokar, J. Letkowski and C. Matheus. Formalization of Situation Awareness. In Eleventh OOPSLA Workshop on Behavioral Semantics 1-15. (November 4, 2002) [pdf]

2. K. Baclawski, M. Kokar, C. Matheus, J. Letkowski and M. Malczewski. Formalization of Situation Awareness. In Practical Foundations of Behavioral Semantics, H. Kilov and K. Baclawski (Ed), 25-40. Kluwer Academic, Dordrecht, Netherlands. (2003) [pdf]

3. M. Kokar, C. Matheus, J. Letkowski, K. Baclawski and P. Kogut. Association in Level 2 Fusion. In Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 228-237. (April 2004) [pdf][ppt]

4. C. Matheus, M. Kokar and K. Baclawski. A Core Ontology for Situation Awareness. In Proc. Sixth Intern. Conf. on Information Fusion FUSION'03 545-552. (July 2003) [pdf]

5. C. Matheus, K. Baclawski and M. Kokar. Derivation of ontological relations using formal methods in a situation awareness scenario. In Proc. SPIE Conference on Multisensor, Multisource Information Fusion 298-309. (April 2003) [pdf]

6. C. Matheus, M. Kokar and K. Baclawski. Phase I Final Report: A Formal Framework for Situation Awareness. Vistology. (January 2003)

7. C. Matheus, M. Kokar, K. Baclawski, J. Letkowski, C. Call, M. Hinman, J. Salerno and D. Boulware. SAWA: An Assistant for Higher-Level Fusion and Situation Awareness. In Proc. SPIE Conference on Multisensor, Multisource Information Fusion 5813:75-85. (2005) [pdf][ppt]

8. C. Matheus, M. Kokar, K. Baclawski, J. Letkowski, C. Call, M. Hinman, J. Solerno and D. Boulware. Lessons Learned from Developing SAWA: A Situation Awareness Assistant. In Eighth Int. Conf. Info. Fusion . (July 25-29, 2005) [pdf]

9. C. Matheus, K. Baclawski, M. Kokar and J. Letkowski. Using SWRL and OWL to Capture Domain Knowledge for a Situation Awareness Application Applied to a Supply Logistics Scenario. In Rules and Rule Markup Languages for the Semantic Web First International Conference, A. Adi and S. Stoutenburg (Ed). Lecture Notes in Computer Science3791 130-144. Springer-Verlag. (November 10-12, 2005) [pdf]

10. C. Matheus, M. Kokar, K. Baclawski and J. Letkowski. An Application of Semantic Web Technologies to Situation Awareness. In ISWC'05, 944-958. Lecture Notes in Computer Science3729. Springer-Verlag, Berlin. (2005) [pdf][ppt]

11. M. Kokar, C. Matheus and K. Baclawski. Ontology-Based Situation Awareness. Information Fusion 10(1):83-98. Elsevier Science Publishers. (2009) [Article]

12. K. Baclawski, M. Malczewski, M. Kokar, J. Letkowski and C. Matheus. The Situation Theory Ontology. STO Ontology (2006)

13. K. Baclawski. Situation Awareness and Decision Making. (February 12, 2015) [pdf]

14. K. Baclawski. Applications of Self-Awareness, Situation Awareness and Feedback Control. College of Computer and Information Science, Northeastern University. (May 19, 2015) [pdf]

15. X. Zhang and K. Baclawski. A Scalable Data, Knowledge and Processes Management System (SKPMS). Northeastern University. (2015)

16. K. Baclawski, E.S. Chan, D. Gawlick, A. Ghoneimy, K. Gross, Z.H. Liu and X. Zhang. Framework for Ontology-Driven Decision Making. Applied Ontology 12(3-4):245-273. IOS Press, The Netherlands. https://bit.ly/2LYPszt (2017) [pdf]

17. G. Berg-Cross and K. Baclawski. Semantic Interoperability in the GeoSciences. In Ontology Summit 2016: Framing the Conversation: Ontologies within Semantic Interoperability Ecosystems. http://bit.ly/2fOGmsO (February 25, 2015) [links]

18. G. Berg-Cross and K. Baclawski. Semantic Integration for Geographically Distributed Sensor and Control Systems. In Ontology Summit 2016: Framing the Conversation: Ontologies within Semantic Interoperability Ecosystems. Ontolog Forum. Slide Presentation (March 31, 2016) [links]

19. K. Baclawski. The KIDS Ontology Version 2.0. https://bit.ly/3EJbzG2 (2016) [KIDS Ontology Version 2.0]

20. K. Baclawski, K. Gross, E.S. Chan, D. Gawlick, A. Ghoneimy and Z.H. Liu. Self-Adaptive Dynamic Decision Making Processes. In IEEE Conference on Cognitive and Computational Aspects of Situation Management . http://bit.ly/2fOG9G2 (2017) [pdf]

21. K. Gross, K. Baclawski, E.S. Chan, D. Gawlick, A. Ghoneimy and Z.H. Liu. A Supervisory Control Loop with Prognostics for Human-in-the-Loop Decision Support and Control Applications. In IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA 2017) . http://bit.ly/2fPlG45 (2017) [pdf]

22. K. Baclawski. Toward Combining Ontologies and Machine Learning for Improving Decision Making. In Ontology Summit 2017: AI, Learning, Reasoning, and Ontologies. http://bit.ly/2DVUS9D (March 15, 2017) [pdf][links]

23. M. Kokar and K. Baclawski. Introduction to Ontologies with Examples and Practical Implications for Situation Management and Decision Making. (June 2018)

24. K. Baclawski. The observer effect. In IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA 2018) . (June 11-14, 2018) [pdf]

25. K. Baclawski, M. Bennett, G. Berg-Cross, C. Casanave, D. Fritzsche, J. Ring, T. Schneider, R. Sharma, J. Singer, J. Sowa, R.D. Sriram, A. Westerinen and D. Whitten. Ontology Summit 2018 Communiqué: Contexts in Context. Journal of Applied Ontology 13(3):181-200. IOS Press, The Netherlands. https://bit.ly/3dGUWNl (July 2018) [pdf][links]

26. K. Baclawski, A. Chystiakova, K.C. Gross, D. Gawlick, A. Ghoneimy and Z.H. Liu. Use Cases for Machine-Based Situation Awareness Evaluation. In IEEE Conference on Cognitive and Computational Aspects of Situation Management . (April 2019) [pdf][talk]

27. K. Baclawski, M. Bennett, G. Berg-Cross, D. Fritzsche, R. Sharma, J. Singer, J. Sowa, R.D. Sriram, M. Underwood and D. Whitten. Ontology Summit 2019 Communiqué: Explanation. Applied Ontology 15(1):91-107. IOS Press, The Netherlands. http://bit.ly/2TDdyTG (2020) [pdf][Communiqué]

28. K. Baclawski, M. Bennett, G. Berg-Cross, D. Fritzsche, R. Sharma, J. Singer, J. Sowa, R.D. Sriram, M. Underwood and D. Whitten. Ontology Summit 2020 Communiqué: Knowledge Graphs. Applied Ontology 16(2):229-247. IOS Press, The Netherlands. (2021) [links]

29. K. Baclawski. Rationale Ontology. https://bit.ly/3eg4HQO (2020) [Rationale Ontology]

30. K. Baclawski. Interoperability for Situation Management and Decision Making: A Personal Narrative. IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2020). (August 28, 2020) [pdf]

31. M. Liu, P. Sonderegger, K. Baclawski, D. Gawlick, A. Chystiakova, G. Wang, Z.H. Liu, H. Balasubramanian and K.C. Gross. Optimizing a Prognostic-Surveillance System to Achieve a User-Selectable Functional Objective. United States Patent and Trademark Office. (February 2, 2023) [pdf]

32. J. Courtney, K. Baclawski, D. Gawlick, K.C. Gross, G. Wang, A. Chystiakova, P. Sonderegger and Z.H. Liu. Machine Learning Traceback-Enabled Decision Rationales as Models for Explainability. United States Patent and Trademark Office. (July 28, 2022) [pdf]

33. J. Rohrkemper, P. Sonderegger, A. Chystiakova, K. Baclawski, D. Gawlick, K.C. Gross, Z. Liu and G. Wang. Root Cause Analysis for Deterministic Machine Learning Model. United States Patent and Trademark Office. (March 2, 2023) [pdf]

34. J. Rohrkemper, K. Baclawski, D. Gawlick, K.C. Gross, G. Wang, A. Chystiakova, P. Sonderegger and Z. Liu. Recommendation Generation Using Machine Learning Data Validation. United States Patent and Trademark Office. (May 18, 2023) [pdf]

35. K. Baclawski. What is Risk?. https://bit.ly/36yOiZA (March 23, 2022) [pdf]

36. K. Baclawski. Introduction to the SMADM Workshop. IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2022). (June 10, 2022) [pdf]

37. K. Baclawski. Introduction to Pandemics. IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2022). (June 10, 2022) [pdf]

38. K. Baclawski. Situation Awareness and Context Awareness. (February 28, 2023) [docx]

39. K. Baclawski. Medical Terminology. NEBEC. (April 1, 2023) [pdf]

40. P. Sonderegger, K. Baclawski, G. Wang, A. Chystiakova, D. Gawlick, Z.H. Liu and K.C. Gross. Automatically adapting a prognostic-surveillance system to account for age-related changes in monitored assets. United States Patent and Trademark Office. (October 10, 2023) [pdf]

41. K. Baclawski, D. Gawlick, K.C. Gross and Z.H. Liu. Prognostic-Surveillance Technique that Dynamically Adapts to Evolving Characteristics of a Monitored Asset. United States Patent and Trademark Office. (October 24, 2023) [pdf]

42. M. Gerdes, K. Baclawski, D. Gawlick, K.C. Gross, G. Wang, A. Chystiakova, P. Sonderegger and Z.H. Liu. Dependency Checking for Machine Learning Models. United States Patent and Trademark Office. (November 23, 2023) [pdf]

43. K. Ru, K. Baclawski, P. Sonderegger, D. Gawlick, A. Chystiakova, G. Wang, M. Gerdes and K.C. Gross. Bias Detection in Machine Learning Tools. United States Patent and Trademark Office. (August 1, 2024) [pdf]