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Jonathan P. E. Hodgson
St. Joseph's University
Philadelphia, Pennsylvania

Dr. Jonathan Hodgson is a Professor of Mathematics and Computer Science at Saint Joseph's University in Philadelphia, PA, where he teaches a wide variety of courses at both the undergraduate and master's level. Previously, he was on the faculty at Adelphi University and, prior to that, at the University of Pennsylvania. Dr. Hodgson started his career as a mathematician working in the field of topology. He holds a Ph.D. in Mathematics from the University of Cambridge. Dr. Hodgson became involved with computers, originally with the idea of drawing pictures of knots on a Tektronix machine using Plot-90. In the 1980s, he developed an interest in artificial intelligence, particularly problem solving and logic programming, both of which are his areas of major research interest.

Dr. Hodgson has published papers on differential topology, problem solving, and the use of Hypertext Markup Language (HTML) tags for flagging semantic content in Web pages. He is currently the convenor of WG17, the ISO/IEC JTC1 working group on Prolog standardization.


Building lexical resources for NLP
Derry Wijaya. YouTube, 00:55:28, published on May 21, 2017, Allen Institute for Artificial Intelligence (AI2), Type: Video

This video comes from the Allen Institute for Artificial Intelligence (AI2) and first appeared on YouTube on May 21, 2017. The speaker addresses the problem of automating the extension of existing natural language processing (NLP) resources....


Knowledge base semantic integration using crowdsourcing
Meng R., Chen L., Tong Y., Zhang C.  IEEE Transactions on Knowledge and Data Engineering 29(5): 1087-1100, 2017. Type: Article

A major problem with integrating knowledge bases arises from the differing taxonomies underlying individual knowledge bases. Two nodes, one from each of a pair of taxonomies, may be related in one of four ways: they may be equivalent; the first ma...


 A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis
Gu D., Liang C., Zhao H.  Artificial Intelligence in Medicine 77 31-47, 2017. Type: Article

Case-based methods have previously been used to assist in treating cancers, and this paper introduces a number of significant modifications in the case of breast cancer. Specifically, these modifications relate to the way in which the distance bet...


 Assessing the epistemological relevance of Dung-style argumentation theories
Betz G.  Annals of Mathematics and Artificial Intelligence 78(3-4): 303-321, 2016. Type: Article

Phan Minh Dung described a model for argumentation in Artificial Intelligence in 1995 [1]. The model presents an argument framework as a collection of arguments together with an attack-relation defined on the set. A single argument

Computing and restoring global inverse consistency in interactive constraint satisfaction
Bessiere C., Fargier H., Lecoutre C.  Artificial Intelligence 241(C): 153-169, 2016. Type: Article

When a constraint satisfaction problem requires or allows user interaction in the course of the solution, it is important that the solver prevent the user from selecting values for which no solution is possible. This might be the case where a user...


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