Hi There!

I'm Dan Schlegel, an Associate Professor in the Computer Science Department at SUNY Oswego

Publications

A. Book Chapters and Monographs

  1. Schlegel, D.R. and Shapiro, S.C., Visually Interacting with a Knowledge Base Using Frames, Logic, and Propositional Graphs. In M. Croitoru, J. Howse, S. Rudolph, and N. Wilson, Eds., Graph Structures for Knowledge Representation and Reasoning, Lecture Notes in Artificial Intelligence 7205, Springer-Verlag, Berlin, 2012, pp. 188-207. Revised and expanded version of 2011 GKR workshop paper listed below (B2).
  2. Schlegel, D.R. and Shapiro, S.C., Concurrent Reasoning with Inference Graphs. In M. Croitoru, C. Gonzales, S. Rudolph, and S. Woltran, Eds., Graph Structures for Knowledge Representation and Reasoning, Lecture Notes in Artificial Intelligence 8323, Springer-Verlag, Berlin, 2013, pp. 138-164. Revised and expanded version of 2013 GKR workshop paper listed below (B5).
  3. Shapiro, S.C. and Schlegel, D.R., Natural Language Understanding for Information Fusion. In P. Scott and G. Rogova, Eds., Fusion Methodologies in Crisis Management: Higher Level Fusion and Decision Making, Springer S. A., (in press). Slightly edited version of 2013 Fusion paper listed below (B4).
  4. Schlegel, D.R., Ruttenberg, A., and Elkin, P.L., Ontologies in Metabolomics (Editorial). Metabolomics: Open Access 5:3, Omics Publishing Group.
  5. Schlegel, D.R., Bona, J., and Elkin, P.L., Comparing Small Graph Retrieval Performance for Ontology Concepts in Medical Texts (Invited Paper). In F. Wang, G. Luo, C. Luo, A. Khan, P. Mitra, and C. Yu, Eds., Proceddings of the First International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH) and Big-O(Q): Big Graphs Online Querying, Lecture Notes in Computer Science, Springer-Verlag, Berlin, 2015.
  6. Schlegel, D.R. and Ficheur, G. Secondary Use of Patient Data: Review of the Literature Published in 2016. IMIA Yearbook of Medical Informatics 2017, IMIA and SchattauerGmbH, 2017, pp. 68–70.

B. Peer-Reviewed Papers

  1. Schlegel, D.R., Chen, A.Y.C., Xiong, C., Delmarico, J.A., and Corso, J.J. AirTouch: Interacting With Computer Systems At A Distance. Proceedings of the IEEE Workshop on Applications of Computer Vision, Kona, Hawaii, USA, January 2011, 8 pages.
  2. Schlegel, D.R. and Shapiro, S.C., Visually Interacting with a Knowledge Base Using Frames, Logic, and Propositional Graphs. Proceedings of the Second International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR 2011), Barcelona, Spain, July 2011, 6 pages.
  3. Gross, G.A., Nagi, R., Sambhoos, K., Schlegel, D.R., Shapiro, S.C., and Tauer, G. Towards Hard+Soft Data Fusion: Processing Architecture and Implementation for the Joint Fusion and Analysis of Hard and Soft Intelligence Data. Proceedings of the 15th International Conference on Information Fusion (Fusion 2012), 2012, pp. 955–962.
  4. Shapiro, S.C. and Schlegel, D.R. Natural Language Understanding for Soft Information Fusion. Proceedings of the 16th International Conference on Information Fusion (Fusion 2013), IFIP, July 2013, 9 pages, unpaginated.
  5. Schlegel, D.R. and Shapiro, S.C., Concurrent Reasoning with Inference Graphs. Working Notes of the 3rd International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR@IJCAI 2013), Beijing, China, July 2013, 9 pages, unpaginated.
  6. Schlegel, D.R. and Shapiro, S.C., Inference Graphs: A Roadmap. Poster Collection of the Second Annual Conference on Advances in Cognitive Systems, December 2013, pp. 217–234.
  7. Gross, G.A., Date, K., Schlegel, D.R., Corso, J.J., Llinas, J., Nagi, R., and Shapiro, S.C. Systemic Test and Evaluation of a Hard+Soft Information Fusion Framework : Challenges and Current Approaches. Proceedings of the 17th International Conference on Information Fusion (Fusion 2014), IFIP, July 2014, 8 pages.
  8. Schlegel, D.R. and Shapiro, S.C., The ‘Ah Ha!’ Moment: When Possible, Answering the Currently Unanswerable using Focused Reasoning. Proceedings of the 36th Annual Conference of the Cognitive Science Society, July 2014, pp. 1371–1376.
  9. Schlegel, D.R. and Shapiro, S.C., Inference Graphs: A New Kind of Hybrid Reasoning System. Proceedings of the Cognitive Computing for Augmented Human Intelligence Workshop at AAAI-14 (CGAHI@AAAI-14), 2014, pp. 38–41. Expanded version of C5, below.
  10. Schlegel, D.R. and Shapiro, S.C., Inference Graphs: Combining Natural Deduction and Subsumption Inference in a Concurrent Reasoner. Proceedings of the 29th Conference on Artificial Intelligence (AAAI-15), AAAI Press/The MIT Press, Menlo Park, CA, 2015, pp. 579–585.
  11. Schlegel, D.R., Crowner, C., and Elkin, P.L., Automatically Expanding the Synonym Set of SNOMED CT using Wikipedia. MEDINFO 2015, August 2015, 619–623.
  12. Shapiro, S.C. and Schlegel, D.R. Use of Background Knowledge in Natural Language Understanding for Information Fusion. Proceedings of the 18th International Conference on Information Fusion (Fusion 2015), IFIP, July 2015, 901–907.
  13. Schlegel, D.R. and Elkin, P.L., Ontology Visualization Tools to Assist in Creating and Maintaining Textual Term Definitions. Proceedings of the Third International Workshop on Definitions in Ontologies (IWOOD 2015), July 2015.
  14. Schlegel, D.R., Seppälä, S., and Elkin, P.L., Uncovering De nition Coverage in OBO Foundry Ontologies. Proceedings of the Fourth International Workshop on De finitions in Ontologies (IWOOD 2016), August 2016.
  15. Schlegel, D.R., Crowner, C., LeHoullier, F., and Elkin, P.L., HTP-NLP: A New NLP System for High Throughput Phenotyping. Informatics for Health 2017, April 2017.
  16. Dezetree, A., Chazard, E., Schlegel, D.R., Sakilay, S., Elkin, P.L., Ficheur, G., Comparison of Changes in the Number of Included Patients between Interventional Trials and Observational Studies Published from 1995 to 2014 in Three Leading Journals. EFMI 2018 Special Topic
    Conference, October 2018.
  17. Zeller, K., Fabor, O., Schlegel, D.R., A Convolutional Neural Network Architecture for Decoding Visual Stimuli with EEGs. MIT Undergraduate Research Technology Conference, October
    2018.
  18. Schlegel, D.R., Fontana, R., and Naaktgeboren, A. GazOntology: A Tool for Building GATE Gazetteer Lists from Ontologies (short paper). 1st International Workshop on Biomedical Ontologies & Natural Language Processing, July 2019, 2 pages.
  19. Schlegel, D.R., Gordon, K., Gaudioso, C., Peleg, M., Clinical Tractor: A Framework for Automatic Natural Language Understanding of Clinical Practice Guidelines. AMIA 2019 Annual Symposium, November 2019.

C. Abstracts and Poster Presentations

  1. Qiu, L. and Schlegel, D. Tabcon: A Tablet-based Tool for Teaching Concurrent Programming. Poster presented by Qiu, L. at Workshop on the Impact of Pen-based Technology in Education (WIPTE), June 2007. [poster]
  2. Schlegel, D.R. and Delmerico, J.A. 2010. Armchair Interface: Computer Vision for General HCI (Demo, Extended Abstract). Proceedings of Computer Vision and Pattern Recognition 2010, San Francisco, California USA, June 2010, 2 pages.
  3. Schlegel, D.R., Concurrent Inference Graphs (Doctoral Consortium Thesis Summary). Proceedings of the 27th Conference on Artificial Intelligence (AAAI-13), AAAI Press/The MIT Press, Menlo Park, CA, 2013, pp. 1680–1681.
  4. Schlegel, D.R. and Shapiro, S.C., Concurrent Reasoning with Inference Graphs (Student Abstract). Proceedings of the 27th Conference on Artificial Intelligence (AAAI-13), AAAI Press/The MIT Press, Menlo Park, CA, 2013, pp. 1637–1638.
  5. Schlegel, D.R. and Shapiro, S.C., Inference Graphs: A New Kind of Hybrid Reasoning System ( Student Abstract). Proceedings of the 28th Conference on Artificial Intelligence (AAAI-14), AAAI Press/The MIT Press, Menlo Park, CA, 2014, pp. 3134–3135.
  6. Schlegel, D.R., Kaushik, S., and Elkin, P.L., Clinical Relevance of the Doctors Dilemma Question Set (Poster Abstract). AMIA Annual Symposium Proceedings 2015, American Medical Informatics Association, 2015. [Poster]
  7. Elkin, P.L., Schlegel, D.R., and Anand E., Recruiting Participants to Local Clinical Trials using Ontology and the IoT (Poster Abstract). Special Topics Conference (STC) 2016 on Transforming Healthcare with the Internet of Things, 2016.
  8. Elkin, P.L., Schlegel, D.R., Anand, E. and Joshi, C., Cell Phone Apps for Self-Recruitment to Local Clinical Trials (Digital Demonstration). 2016 Information Technology in Academic Medicine Conference, June 2016.
  9. Schlegel, D.R., Seppälä, S., and Elkin, P.L., Definition Coverage in the OBO Foundry Ontologies: The Big Picture (Poster Abstract). 2016 International Conference on Biological Ontology, August 2016.
  10. Elkin, P.L., Anand, E., Crowner, C., Erfani, S., Ficheur, G., and Schlegel, D.R., Identifying SNOMED Concepts Relevant to CHA2DS2VASc and HAS-BLED Scores (Poster Abstract). AMIA Annual Symposium Proceedings 2016, American Medical Informatics Association, November 2016. [Poster]
  11. Ficheur, G., Schlegel, D.R., Crowner, C., and Elkin, P.L., Number of patients included in randomized controlled trials versus observational studies in three reference journals over 20 years (Poster Abstract). AMIA Annual Symposium Proceedings 2016, American Medical Informatics Association, November 2016.
  12. Janmey, V., Schlegel, D.R., Crowner, C., and Elkin, P.L., The MVA Attack: Re-Identification Risk in HIPAA Safe Harbor De-Identified Datasets. iHealth 2017, American Medical Informatics Association, May 2017 (in press).
  13. Elkin, P.L., Schlegel, D.R., Crowner, C., and LeHoullier, F., High Performance Computing and Natural Language Understanding. MEDINFO 2017, August 2017.
  14. Schlegel, D.R., An Architecture for Automatic Generation of Computer Interpretable Guidelines. AMIA NLP-WG Pre-Symposium 2017, November 2017. [Poster]
  15. Elkin, P.L., Mullin, S., Ficheur, G., Schlegel, D.R., Crowner, C., Sakilay, S., Sinha, S., Brady, G., Wright, M., Nolen, K., Kaushik, S., Zhao, J., Song, B., and Anand, E., Improving Identification of Non-Valvular Atrial Fibrillation (NVAF) Patient Cohorts using Natural Language Processing and SNOMED CT. AMIA 2018 Informatics Summit, March 2018.
  16. Schlegel, D.R., Translating OWL Ontologies to CSNePS: Progress and Challenges. AMIA Knowledge Representation and Semantics Pre-Symposium 2018, November 2018, 3 pages.
  17. Patriak, M., Schlegel, D.R.,Using JATS and GraphML as a Standard Form for Clinical Practice Guidelines. AMIA 2019 Annual Symposium, November 2019, 1 page.

D. Other Technical Papers

  1. Schlegel, D. R. Desktop Relational Search or One Way AI could Save us from our Files. Proceedings of Quest 2008, Spring 2008, pp. 31–42.
  2. Schlegel, D. R. A GUI for Evolve ZAMS. Proceedings of Quest 2008, Spring 2008, pp. 24–30.
  3. Schlegel, D.R. A Sketch/Speech Interface and Usability Study for Software to Teach and Learn Concurrent Programming. Masters Thesis, SUNY Oswego, Oswego NY, June 2009.
  4. Schlegel, D.R. and Shapiro, S.C., Visually Interacting with a Knowledge Base Using Frames, Logic, and Propositional Graphs. Proceedings of the 23rd Annual CSE Graduate Research Conference, Spring 2011, superseded by B2.
  5. Schlegel, D.R., SNePS 3 GUI Manual. Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, 2011.
  6. Daniel R. Schlegel, Concurrent Inference Graphs, PhD Dissertation, Department of Computer Science and Engineering, State University of New York at Buffalo, September 3, 2014.
  7. Shapiro, S.C., Schlegel, D.R., and the SNePS Implementation Group, CSNePS Manual. Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, 2015.
  8. Shapiro, S.C., Schlegel, D.R., and Prentice, M., Tractor Manual. Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, 2015.