Publications

See also John S. Erickson’s publications on the RPI DSpace or one of the following aggregation sites: ResearcherID, ORCID, Google Scholar, ResearchGate 

Selected Publications (through January 2025)

  1. John S. Erickson, Henrique Santos, Vládia Pinheiro, Jamie P. McCusker, & Deborah L. McGuinness (2024). LLM Experimentation through knowledge graphs: Towards improved management, repeatability, and verification. Journal of Web Semantics, 100853.
  2. John S. Erickson, , Henrique Santos, Jamie P. McCusker, Sola Shirai, Deborah L. McGuinness, James A. Hendler. “ChatBS: An Exploratory Sandbox for Bridging Large Language Models with the Open Web.” Proceedings of the ISWC 2024 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice. CEUR, 2024.
  3. M. Lashuel, G. Kurdistan, A. Green, J.S. Erickson, O. Seneviratne and K.P. Bennett, “LLM-Based Code Generation for Querying Temporal Tabular Financial Data,” 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr), Hoboken, New Jersey, USA, 2024.
  4. John S. Erickson, Henrique Santos, Jamie P. McCusker, Sola Shirai, Deborah L. McGuinness and James A. Hendler. 2024. ChatBS: An Exploratory Sandbox for Bridging Large Language Models with the Open Web. A Tetherless World Constellation Technical Report.
  5. Bhanot K, Erickson JS, Bennett KP. MortalityMinder: Visualization and AI Interpretations of Social Determinants of Premature Mortality in the United States. Information. 2024; 15(5):254. https://doi.org/10.3390/info15050254
  6. C. Flynn, K. P. Bennett, J. S. Erickson, A. Green and O. Seneviratne, “Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance,” 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 4290-4299, doi: 10.1109/BigData59044.2023.10386383.
  7. Green, A., Giannattasio, M., Wang, K., Erickson, J.S., Seneviratne, O., Bennett, K.P. (2023). Characterizing Common Quarterly Behaviors in DeFi Lending Protocols. In: Pardalos, P., Kotsireas, I., Knottenbelt, W.J., Leonardos, S. (eds) Mathematical Research for Blockchain Economy. MARBLE 2023. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-48731-6_4
  8. Franklin, Jade S., Hannah Powers, John S. Erickson, Jamie McCusker, Deborah L. McGuinness, and Kristin P. Bennett. “An Ontology for Reasoning About Fairness in Regression and Machine Learning.” In Iberoamerican Knowledge Graphs and Semantic Web Conference, pp. 243-261. Cham: Springer Nature Switzerland, 2023.
  9. Green, A., Giannattasio, M., Wang, K., Erickson, J.S., Seneviratne, O., Bennett, K.P. (2023). Characterizing Common Quarterly Behaviors In DeFi Lending Protocols. In: Mathematical Research for Blockchain Economy. MARBLE 2023. Lecture Notes in Operations Research. Springer, Cham. (To appear)
  10. Ford ML, Cooley JM, Sripada V, Xu Z, Erickson JS, Bennett KP, Crawford DR. “Eat4Genes: A Bioinformatic Rational Gene Targeting App and Prototype Model for Improving Human Health.” Frontiers in Nutrition (In press)
  11. Green, A., Cammilleri, C., Erickson, J.S., Seneviratne, O., Bennett, K.P. (2023). DeFi Survival Analysis: Insights into Risks and User Behaviors. In: Pardalos, P., Kotsireas, I., Guo, Y., Knottenbelt, W. (eds) Mathematical Research for Blockchain Economy. MARBLE 2022. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-18679-0_8
  12. A. Sanders, D. Ray-Majumder, J.S. Erickson, and K.P. Bennett, “Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter.” In 14th ACM Web Science Conference 2022 (WebSci ’22). Association for Computing Machinery, New York, NY, USA, 307–318. DOI: https://doi.org/10.1145/3501247.3531574
  13. K. P. Bennett, J. S. Erickson, A. Svirsky, and J. C. Seddon, “A Mathematics Pipeline to Student Success in Data Analytics through Course-Based Undergraduate Research,” The Mathematics Enthusiast, vol. 19, no. 3, pp 720-750, December 2021. DOI: https://doi.org/10.54870/1551-3440.1573
  14. K. Bhanot, M. Qi, J. S. Erickson, I. Guyon, and K. P. Bennett, “The Problem of Fairness in Synthetic Healthcare Data.” Entropy, vol. 23, no. 9, article 1165, September 2021. https://doi.org/10.3390/e23091165
  15. S. Debopadhaya, A. D. Sprague, H. Mou, T. L. Benavides, S. M. Ahn, C. A. Reschke, J. S. Erickson, and K. P. Bennett, “Social Determinants Associated with COVID-19 Mortality in the United States,” medRxiv, 2020.
  16. A. Sanders, R. White, L. Severson, R. Ma, R. McQueen, H. C. A. Paulo, Y. Zhang, J. S. Erickson, and K. P. Bennett, “Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse,” medRxiv, 2020.
  17. H. Santos, A. Mulvehill, J. S. Erickson, J. P. McCusker, M. Gordon, O. Xie, S. Stouffer, G. Capraro, A. Pidwerbetsky, J. Burgess, A. Berlinsky, K. Turck, J. Ashdown, and D. L. McGuinness, “A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation.” 2020.
  18. A. Bulazel, D. Difranzo, J. S. Erickson, and J. Hendler, “The Importance of Authoritative URI Design Schemes for Open Government Data,” pp. 2181–2199. 01 2018.
  19. J. S. Erickson, J. Sheehan, K. Bennett, and D. McGuinness, “Addressing scientific rigor in data analytics using semantic workflows,” in Proceedings of the 6th International Provenance and Annotation Workshop, IPAW 2016, pp. 187–190, 2016.
  20. X. Ma, S. Zednik, P. West, P. Fox, and J. S. Erickson, “Semantic specification of data types for a world of open data,” ISPRS International Journal of Geo-Information, vol. 5, p. 38, 2016.
  21. K. Bennett, J. S. Erickson, H. De Los Santos, S. Norris, E. Patton, J. Sheehan, and D. McGuinness, “Data analytics as data: A semantic workflow approach,” 2016.
  22. J. Michaelis, D. Mcguinness, C. Chang, J. S. Erickson, D. Hunter, and O. Babko-Malaya,” Explaining scientific and technical emergence forecasting,” in Applications of Social Media and Social Network Analysis, pp. 177–192, 2015.
  23. S. Smith and J. S. Erickson, “Never mind Pearl Harbor–what about a cyber Love Canal?,” IEEE Security and Privacy, vol. 13, pp. 94–98, 2015.
  24. X. Ma, P. West, J. S. Erickson, S. Zednik, Y. Chen, H. Wang, H. Zhong, and P. Fox, “From data portal to knowledge portal: Leveraging semantic technologies to support interdisciplinary studies,” in Diversity++@ISWC, 2015.
  25. F. Maali and J.S. Erickson, Data Catalog Vocabulary (DCAT). W3C Recommendation, 2014.
  26. D. Difranzo, J. S. Erickson, M. Gloria, D. McGuinness, and J. Luciano, “Building Web Observatories for Health Web Science,” 2014.
  27. J. S. Erickson, K. Chastain, E. Patton, Z. Fry, R. Yan, J. McCusker, and D. McGuinness, “Identifying first responder communities using social network analysis,” CEUR Workshop Proceedings, vol. 1272, pp. 425–428, 2014.
  28. J. P. McCusker, R. Yan, K. Solanki, J. S. Erickson, C. Chang, M. Dumontier, J. S. Dordick,and D. L. McGuinness, “A Nanopublication Framework for Biological Networks using Cytoscape.js,” in In Proceedings of International Conference on Biomedical Ontologies (ICBO2014), 2014.
  29. M. J. K. T. Gloria, J. S. Erickson, J. S. Luciano, D. DiFranzo, and D. L. McGuinness, “Legal and ethical considerations: Step 1b in building a health web observatory,” in Proceedings of the 23rd International Conference on World Wide Web, WWW ’14 Companion, (New York,NY, USA), p. 1061–1066, Association for Computing Machinery, 2014.
  30. D. Difranzo, J. S. Erickson, M. J. K. T. Gloria, J. S. Luciano, D. L. McGuinness, and J. Hendler, “The web observatory extension: Facilitating web science collaboration through semantic markup,” in Proceedings of the 23rd International Conference on World Wide Web, WWW ’14 Companion, (New York, NY, USA), p. 475–480, Association for Computing Machinery, 2014.
  31. J. S. Erickson, A. V. Kannan, J. Shinavier, Y. Shi, and J. Hendler, “Open government data: A data analytics approach,” IEEE Intelligent Systems, vol. 28, pp. 19–23, 2013.
  32. L. Ding, T. Lebo, J. S. Erickson, D. Difranzo, G. Williams, X. Li, J. Michaelis, A. Graves, J. Zheng, Z. Shangguan, J. Flores, D. McGuinness, and J. Hendler, “TWC LOGD: A portal for linked open government data ecosystems,” Journal of Web Semantics, vol. 9, no. 3,pp. 325–333, 2011.
  33. J. S. Erickson, E. Rozell, Y. Shi, J. Zheng, L. Ding, and J. Hendler, “TWC International Open Government Dataset Catalog,” ACM International Conference Proceeding Series, pp. 227–229, 2011.12
  34. J. S. Erickson, M. Rhodes, S. Spence, D. Banks, J. Rutherford, E. Simpson, G. Belrose, and R. Perry, “Content-Centered Collaboration Spaces in the Cloud,” IEEE Internet Computing, vol. 13, no. 5, pp. 34–42, 2009.
  35. J. S. Erickson, “Handle records, rights and long tail economies,”D-Lib Magazine, vol. 12,no. 9, 2006.
  36. H. Van De Sompel, S. Payette, J. S. Erickson, C. Lagoze, and S. Warner, “Rethinking scholarly communication: Building the system that scholars deserve,” D-Lib Magazine, vol. 10,no. 9, 2004.
  37. J. S. Erickson and D. Mulligan, “The technical and legal dangers of code-based fair use enforcement,” Proceedings of the IEEE, vol. 92, no. 6, pp. 985–996, 2004.
  38. J. S. Erickson, “Fair use, DRM, and trusted computing,” Communications of the ACM, vol. 46, no. 4, pp. 34–39, 2003.
  39. J. S. Erickson, “A digital object approach to interoperable rights management: Fine-grainedpolicy enforcement enabled by a digital object infrastructure,” D-Lib Magazine, vol. 7, no. 6, 2001.
  40. J. S. Erickson, “Information objects and rights management: A mediation-based approach to DRM interoperability,” D-Lib Magazine, vol. 7, no. 4, 2001.
  41. Samuelson Law, Technology, and Public Policy Clinic, EPIC, and J. S. Erickson, “Supporting limits on copyright exclusivity in a rights expression language standard,” Requirements submission to the OASIS Rights Language Technical Committee, 2002.
  42. J. S. Erickson, “Principles for standardization and interoperability in web-based digital rights management,” Position Paper for the 2001 W3C DRM Workshop, 2001.
  43. J. S. Erickson, “Frictionless ecommerce and the future of rights management,” Keynote Ad-dress, LAPC DRM and Digital Publishing Conf, 2000.
  44. J. S. Erickson, “Tools and services for web-based rights management,” Invited Talk, WWW8 Workshop W7: Managing Intellectual Content on the Web, 1999.
  45. J. S. Erickson, “Enhanced Attribution for Networked Copyright Management.” PhD dissertation, Dartmouth College Thayer School of Engineering, 1997.
  46. J. S. Erickson, “A copyright management system for networked interactive multimedia,” Proc. of DAGS 95: Electronic Publishing and the Information Superhighway, 1995.

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