The mathematics is important. Is anybody interested in working on the mathematization of semantics and natural language with regard to NELL interchangeability with the QEXL Q-UEL language consortium of universities and small companies with a particular focus on healthcare and biomedical research? Academic, and no conflict: there is complementarity rather than overlap with NELL: Q-UEL is a probabilistic semantic system based on the Dirac Notation and algebra. We promote or ideas not push our system, working towards a probabilistic semantic web as a Thinking Web, first for healthcare and biomedicine. After six years as Strategic Advisor to IBM Research based at T. J. Watson Research Center and an IBM Distinguished Engineer, and then five as Chief Scientific Officer, IBM Corporation, I am now retired and working in public health and wish to work openly toward this ideal using an open free approach with high performance computing coming from distribution across the Internet.
Robson and S. Boray, Data-Mining to Build a Knowledge Representation
Store for Clinical Decision Support. Studies on Curation and Validation
based on Machine Performance in Multiple Choice Medical Licensing
Examinations”, Computers in Biology and Medicine 73:71-93 (2016).
2. B. Robson, Studies in Using a Universal Exchange and Inference Language for Evidence Based Medicine. Semi-Automated Learning and Reasoning for PICO Methodology, Systematic Review, and Environmental Epidemiology, Computers in Biology and Medicine, in press, available in preliminary electronic form from the journal at https://authors.elsevier.com/TrackPaper.html ?trk_article= CBM2518&trk_ surname= Robson
3. Robson, B, and Boray, S. (2015), Interesting Things for Computer Systems to Do: Keeping and Data Mining Millions of Patient Records, Guiding Patients and Physicians, and Passing Medical Licensing Exams. Proceedings of the IEEE International conference of Bioinformatics and Biomedicine, 9th-11th November, 2015.
4. B. Robson, and S. Boray, Implementation of a web based universal exchange and inference language for medicine. Sparse data, probabilities and inference in data mining of clinical data repositories. Computers in Biology and Medicine, 66, 82-102 (2015).
Deckelman, and B. Robson, B. Split-Complex Numbers and Dirac Bra-Kets”,
Communications in Information and Systems (CIS), 14:3, 135-149 (2015)
6. B. Robson “Hyperbolic Dirac Nets for Medical Decision Support. Theory, Methods, and Comparison with Bayes Nets” Computers in Biology and Medicine, in ;51:183 (2014).
7. B. Robson, POPPER, a Simple Programming Language for Probabilistic Semantic Inference in Medicine.” Computers in Biology and Medicine, 56: 107 (2014).
8. Suggestions for a Web Based Universal Exchange and Inference Language for Medicine. Continuity of Patient Care with PCAST Disaggregation. Computers in Biology and Medicine, 56: 51 (2014).
9 . B. Robson, T. P. Caruso, T, and U. G. J. Balis, Suggestions for a Web Based Universal Exchange and Inference Language for Medicine, Computers in Biology and Medicine,1;43(12):229 (2013).
10.B. Robson and T. P. Caruso (2013) “A Universal Exchange Language for Healthcare” MedInfo ’13: Proceedings of the 14th World Congress on Medical and Health Informatics, Copenhagen, Denmark, Edited by Lehmann, Ammenwerth, and Nohr. IOS Press, Washington, DC, USA. http://quantalsemantics.com/ documents/MedInfo13-RobsonCaruso_V6.pdf; http://ebooks.iospress.nl/publication/ 34165
11. B. Robson, Towards New Tools for Pharmacoepidemiology, Advances in Pharmacoepidemiology and Drug Safety, 1:6, http://dx.doi.org/10.4172/2167-1052.100012 (2013).
12. B. Robson, Towards Automated Reasoning for Drug Discovery and Pharmaceutical Business Intelligence. Pharmaceutical Technology and Drug Research, 1: 3 (2012).
Robson, R. Dettinger, A. Peters, and S.K.P. Boyer, Drug discovery using very
large numbers of patents: general strategy with extensive use of match and edit
operations” J. Computer Aided Molecular Design 25(5) 427 (2011).
14. B. Robson, The New Physician as Unwitting Quantum Mechanic: Is Adapting Dirac’s Inference System Best Practice for Personalized Medicine, Genomics and Proteomics?” J. Proteome Res. (Am. Chem. Soc.).2007. Vol. 6, No. 8: 3114 (2007).
15. B. Robson, “Towards Intelligent Internet-Roaming Agents for Mining and Inference from Medical Data”, Future of Health Technology Congress, Technology and Informatics. IOS Press, 149, 157 (2009).
16. B. Robson, Links Between Quantum Physics and Thought, Future of Health Technology Congress, Technology and Informatics,. IOS Press, 149, 157 (2009).