Database Systems Publications of Kenneth Paul Baclawski

1. K. Baclawski. Concurrency control for long-duration sessions. Northeastern University. (1985)

2. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. (1988)

3. K. Baclawski. A stochastic model of data access and communication. Advan. in Applied Math. 10:175-200. (1989)

4. K. Baclawski, S. Contractor and R. Wilmot. File access patterns: self-similarity and time evolution. NU-CCS-89-19. Northeastern University, College of Computer Science. (1989)

5. K. Baclawski. Transactions in the nu& system. In OOPLSA/ECOOP'90 Workshop on Transactions and Objects 65-72. (October 1990)

6. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. (1990)

7. K. Baclawski. Panoramas and grammars: a new view of data models. NU-CCS-91-2. Northeastern University College of Computer Science. (1991) [pdf]

8. K. Baclawski. Algorithms for constructing panoramas. Northeastern University. (1991)

9. K. Baclawski. Object-Oriented Data Models. (1991)

10. K. Baclawski and D. Simovici. An algebraic approach to databases with complex objects. Information Systems 17(1):33-47. Pergamon Press. (1992)

11. K. Baclawski. An algorithm for generating random accesses. Northeastern University, College of Computer Science. (1992)

12. K. Baclawski. Materials & Methods Monitor. Northeastern University. (1992)

13. K. Baclawski, R. Futrelle, C. Hafner, M. Pescitelli, N. Fridman, B. Li and C. Zou. Data/knowledge bases for biological papers and techniques. In Proc. Sympos. Adv. Data Management for the Scientist and Engineer 23-28. (1993) [pdf]

14. K. Baclawski, R. Futrelle, N. Fridman and M. Pescitelli. Database techniques for biological materials & methods. In First Int. Conf. Intell. Sys. Molecular Biology 21-28. (1993) [pdf]

15. K. Baclawski, R. Futrelle, C. Hafner, M. Pescitelli, N. Fridman, B. Li and C. Zou. M&M-Query: Materials & Methods Knowledge Base and Query System. NU-CCS-93-06. Northeastern University, College of Computer Science. (1993)

16. K. Baclawski. TPET: A TP systems emulation tool. Northeastern University, College of Computer Science. (1992)

17. K. Baclawski and J.E. Smith. KEYNET: Fast indexing for semantically rich information retrieval. NU-CCS-94-06. Northeastern University, College of Computer Science. (1994) [pdf]

18. K. Baclawski, R. Futrelle, C. Hafner, M. Pescitelli, N. Fridman, B. Li and C. Zou. Data/knowledge bases for biological papers and techniques. Northeastern University. (1993)

19. K. Baclawski, R. Futrelle, C. Hafner, M. Pescitelli, N. Fridman, B. Li and C. Zou. M&M-Query: Materials & Methods Knowledge Base and Query System. Northeastern University. (1993)

20. J. Gray, P. Sundaresan, S. Englert, K. Baclawski and P. Weinberger. Algorithms for quickly generating very large synthetic databases. Digital Equipment Corporation. (1993)

21. K. Baclawski. Materials & Methods Monitor. Northeastern University. (1993)

22. K. Baclawski, D. Simovici and W. White. A categorical approach to database semantics. Math. Structures in Comp. Sci. 4:147-183. (1994)

23. J. Gray, P. Sundaresan, S. Englert, K. Baclawski and P. Weinberger. Quickly generating billion record synthetic databases. In Proc. ACM SIGMOD Conference 243-252. (1994) [pdf]

24. C. Hafner, K. Baclawski, R. Futrelle, N. Fridman and S. Sampath. Creating a Knowledge Base of Biological Research Papers. In Proc. Second Int. Conf. Intell. Sys. Molecular Biology 147-155. (1994) [pdf]

25. K. Baclawski and D. Simovici. An abstract model for semantically rich information retrieval. NU-CCS-94. Northestern University, Boston. (March 1994)

26. K. Baclawski and N. Fridman. M&M-Query: Database support for the annotation and retrieval of biological research articles. NU-CCS-94-07. Northeastern University, College of Computer Science. (1994) [pdf]

27. K. Baclawski and J.E. Smith. High-performance, distributed information retrieval. NU-CCS-94-05. Northeastern University, College of Computer Science. (1994) [pdf]

28. K. Baclawski and J.E. Smith. A unified approach to high-performance, vector-based information retrieval. Northeastern University, College of Computer Science. (1994) [pdf]

29. K. Baclawski and J.E. Smith. A distributed approach to high-performance information retrieval. Northeastern University, College of Computer Science. (1994) [pdf]

30. K. Baclawski and J.E. Smith. KEYNET: An architecture and protocol for high-performance semantically rich information retrieval. Northeastern University, College of Computer Science. (1994) [pdf]

31. K. Baclawski. Semantic knowledge management and retrieval engine. Software Amplification. (1994)

32. K. Baclawski. Materials & Methods Monitor. Northeastern University. (1994)

33. K. Baclawski. Distributed Computer Database System And Method. United States Patent and Trademark Office. (December 2, 1997) [pdf]

34. K. Baclawski. Scientific Databases Project Final Report. Northeastern University. (1997) [pdf]

35. K. Baclawski. Membership database software. Greater Boston Chapter of the ACM. (1998)

36. K. Baclawski, J. Cigna, M.M. Kokar, P. Mager and B. Indurkhya. Knowledge Representation and Indexing Using the Unified Medical Language System. In Pacific Symposium on Biocomputing 5:490-501. (2000) [pdf][ppt]

37. K. Baclawski. Distributed Computer Database System And Method Employing Intelligent Agents. United States Patent and Trademark Office. (February 20, 2001) [pdf]

38. K. Baclawski. Search System And Method Based On Multiple Ontologies-B1. United States Patent and Trademark Office. (July 23, 2002) [pdf]

39. K. Baclawski. Distributed Computer Database System And Method For Performing Object Search. United States Patent and Trademark Office. (October 8, 2002) [pdf]

40. K. Baclawski. Knowledge Extraction System And Method. United States Patent and Trademark Office. (October 22, 2002) [pdf]

41. K. Baclawski. Distributed Computer Database System And Method Employing Hypertext Linkage Analysis. United States Patent and Trademark Office. (January 7, 2003) [pdf]

42. K. Baclawski. Distributed Computer Database System And Method Employing Intelligent Agents. United States Patent and Trademark Office. (March 18, 2003) [pdf]

43. K. Baclawski. Classification Of Information Sources Using Graph Structures. United States Patent and Trademark Office. (July 22, 2003) [pdf]

44. K. Baclawski. Knowledge Extraction System and Method. The United Kingdom Patent Office. (September 7, 2004) [pdf]

45. K. Baclawski. Information Retrieval Apparatus for Processing a Query for Retrieval of Information from a Database. The United Kingdom Patent Office. (November 2, 2004) [pdf]

46. K. Baclawski. Search System and Method Based on Multiple Ontologies. European Patent Office. (February 14, 2007)

47. K. Baclawski and M. Pizzo. OData: Competitor or Contributor?. In International Semantic Web Conference . (November 2012) [pdf][talk]

48. E.S. Chan and K. Baclawski. Integrated Collaboration Object Model (ICOM) for Interoperable Collaboration Services Version 1.0: Committee Specification 01. Organization for the Advancement of Structured Information. http://bit.ly/2xYBoR5 (January 31, 2013)

49. K. Baclawski. Introduction to Data Semantics. Northeastern University. (2013) [pdf][odp][ppt]

50. K. Baclawski, E.S. Chan and P. Monks. CMIS Latest Accessible Version Extension. In OASIS. Organization for the Advancement of Structured Information. (2014)

51. K. Baclawski. Query on Secondary Type. In OASIS Content Management Interoperability Services. Organization for the Advancement of Structured Information. (2015) [docx]

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

53. F. Müller and K. Baclawski. Content Management Interoperability Services (CMIS) Version 1.1 Plus Errata 01. Organization for the Advancement of Structured Information. http://bit.ly/12o0eyP (2015) [CMIS-v1.1]

54. 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]

55. K. Baclawski. The Meaning of Null in Databases and Programming Languages. ArXiv . (2016) [Article]

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

57. 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]

58. 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]

59. 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]

60. K. Baclawski. Hierarchical Access Path Language (HAPL). (2017) [HAPL jar file]

61. K. Baclawski. Hierarchical Access Language (HAL). (2019) [HAL jar file]

62. E. Wetherbee, K. Baclawski, G. Wang, K. Gross, A. Chystiakova, D. Gawlick, Z. Liu and P. Sonderegger. System and Method for Ensuring that the Results of Machine Learning Models can be Audited. United States Patent and Trademark Office. (April 2, 2024) [pdf]

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

64. K. Baclawski, G. Berg-Cross, C. Miles, D. Miles, T. Schneider and R. Sharma. Modeling with Knowledge Graphs. J. Wash. Acad. Sci. 107(3):1-10. (2021) [Journal]

65. K. Baclawski. A Knowledge Graph Data Model and Query Language. J. Wash. Acad. Sci. 107(3):59-90. (2021) [links]

66. K. Baclawski. Knowledge Graph System Query Language (KGSQL). (2021) [links]

67. K. Baclawski. Introduction to KGSQL: A Knowledge Graph System Query Language. Presentation slides (July 7, 2021) [pdf][links]

68. 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]

69. 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]

70. 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]

71. 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]

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

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

74. K. Baclawski. Principles of Data Management and Stewardship. Ontolog Forum. (2022) [pdf]

75. K. Baclawski. Much Ado about Nothing. J. Wash. Acad. Sci. 109(2):13-26. (2023)

76. 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]

77. 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]

78. 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]

79. 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]