Research Profile for Kenneth Paul Baclawski

Professor Baclawski's primary research area is data semantics. This includes research in the Semantic Web, formal methods for software engineering and software modeling, and data semantics in biology and medicine. He has been active in this area for over 30 years.

Professor Baclawski has over 10 patents. He has over 250 peer-reviewed publications, and more than 350 publications in all. He has been a Northeastern University faculty member for over 25 years.

Publications

Selected list of publications

Some recent publications:

  1. K. Baclawski. Hierarchical Access Path Language (HAPL). Northeastern University. (2015) [links]
  2. K. Baclawski. The Meaning of Null in Databases and Programming Languages. ArXiv. arXiv:1606.00740. (2016)
  3. 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. to appear. (2017)
  4. K. Baclawski, K. Gross, E.S. Chan, D. Gawlick, A. Ghoneimy and Z.H. Liu. Self-Adaptive Dynamic Decision Making Processes. In CogSIMA 2017. (2017)
  5. K. Baclawski. Semantic Annotation of Collaborative Work Environments. Journal of Applied Ontology. to appear. (2017)
  6. 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 CogSIMA 2017. (2017)
  7. K. Baclawski and M. Bennett. Introduction to the Special Issue on the Role of Ontologies in Linked Data, Big Data and Semantic Web Applications. International Association for Ontologies and Applications. (2017)
  8. K. Baclawski. Toward Combining Ontologies and Machine Learning for Improving Decision Making. In Ontology Summit 2017: AI, Learning, Reasoning, and Ontologies. Track B Session 1. (March 15, 2017)

Impact Index

h-index37
g-index70
Citations5196
Publications356

If you don't know about the h-index, see Author Impact Measures. The numbers above were computed using Harzing's Publish or Perish, removing publications that were not mine, and eliminating duplicates.