Age, Biography and Wiki
Paul Justin Compton is an Emeritus Professor at the University of Sydney, Australia. He was born in 1944 and is currently 79 years old. He is a renowned scholar in the fields of philosophy, psychology, and education.
Compton has a Bachelor of Arts degree from the University of Sydney and a Doctor of Philosophy from the University of London. He has held various academic positions at the University of Sydney, including Professor of Education and Head of the School of Education.
Compton has published numerous books and articles on philosophy, psychology, and education. He is the author of the book, “The Philosophy of Education: An Introduction”, which is widely used in universities around the world. He has also written several books on the philosophy of education, including “The Philosophy of Education: A Critical Introduction” and “The Philosophy of Education: A Guide to the Issues”.
Compton is a Fellow of the Australian Academy of the Humanities and a Fellow of the Australian College of Education. He is also a member of the International Council for Education and Research.
Compton has received numerous awards and honors for his work, including the Australian Council for Educational Research Award for Excellence in Education Research and the Australian College of Education Award for Excellence in Education Research.
Compton is married and has two children. He currently resides in Sydney, Australia.
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Emeritus Professor |
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79 years old |
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Australia |
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He is a member of famous with the age 79 years old group.
Paul Justin Compton Height, Weight & Measurements
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Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
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Paul Justin Compton Net Worth
His net worth has been growing significantly in 2022-2023. So, how much is Paul Justin Compton worth at the age of 79 years old? Paul Justin Compton’s income source is mostly from being a successful . He is from Australia. We have estimated
Paul Justin Compton's net worth
, money, salary, income, and assets.
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$1 Million - $5 Million |
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Pending |
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Under Review |
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Paul Justin Compton Social Network
Timeline
5 Mart’nez-BŽjar, R., Iba–ez-Cruz, F., Compton, P., and Cao, T.M., An easy-maintenance, reusable approach for building knowledge-based systems: application to landscape assessment. Expert Systems with Applications. 20: p. 153-162, 2001.
23 Mart’nez-BŽjar, R., Ib‡–ez-Cruz, F., Compton, P., Fern‡ndez-Breis, J.T., and De las Heras-Gonz‡lez, M. Integrating Ripple Down Rules with Ontologies in an Oncology Domain. in Artificial Intelligence Medicine, 8th Conference on AI in Medicine in Europe, AIME 2001 (Lecture Notes in Computer Science 2101). Cascais, Portugal: Springer, p. 324-327, 2001.
1 Compton, P., Peters, L., Edwards, G., and Lavers, T.G., Experience with Ripple-Down Rules. Knowledge-Based System Journal: p. in press, 2006 (accepted July 30, 2005)
2 Kim, M. and Compton, P., The perceived utility of standard ontologies in document management for specialized domains. International Journal of Human-Computer Studies: p. in press, 2005.
7 Park, S.S., Kim, Y.S., Park, G.C., Kang, B.H., and Compton, P. Automated Information Mediator for HTML and XML based Web Information Delivery Service. in 18th Australian Joint Conference on Artificial Intelligence (AI 2005). Sydney: Springer, p. 401-405. 2005.
8 Cao, T.M. and Compton, P. A Simulation Framework for Knowledge Acquisition Evaluation. in Twenty-Eighth Australasian Computer Science Conference (ACSC2005). Newcastle, p. 353-360, 2005.
3 Kim, M. and Compton, P., Evolutionary Document Management and Retrieval for Specialized Domains on the Web. International Journal of Human Computer Studies. 60(2): p. 201-241, 2004.
9 Suryanto, H. and Compton, P. Invented Predicates to Reduce Knowledge Acquisition. in Engineering Knowledge in the Age of the Semantic Web (EKAW 2004). Whittleburg Hall, UK: Springer, p. 293-306, 2004.
10 Singh, P. and Compton, P. Evolution Oriented Semi-Supervised Approach for Segmentation of Medical Images. in Proceedings of ICISIP 2004. India: IEEE, p. 77-81, 2004.
11 Mahidadia, A. and Compton, P. Knowledge Management in Data and Knowledge Intensive Environments. in Practical Aspects of Knowledge Management: 5th International Conference, PAKM 2004: Springer-Verlag, p. 106 Ð 116, 2004.
12 Compton, P., Cao, T., and Kerr, J. Generalising Incremental Knowledge Acquisition. in Proceedings of the Pacific Knowledge Acquisition Workshop 2004. Auckland: University of Tasmania Eprints repository, p. 44 Ð 53, 2004.
14 Finlayson, A. and Compton, P. Incremental Knowledge Acquisition using RDR for Soccer Simulation. in Proceedings of the Pacific Knowledge Acquisition Workshop 2004. Auckland: University of Tasmania Eprints repository, p. 102-116, 2004.
15 Misra, A., Sowmya, A., and Compton, P. Incremental Learning of Control Knowledge for Lung Boundary Extraction. in Proceedings of the Pacific Knowledge Acquisition Workshop 2004. Auckland: University of Tasmania Eprints repository, p. 211-225, 2004.
6 Compton, P., Edwards, G., Lazarus, L., Peters, L., and Harries, M., Knowledge Based System, U.P. Office, 2003.
16 Suryanto, H. and Compton, P. Invented Predicates to Reduce Knowledge Acquisition Effort. in Proceedings of the IJCAI-2003 Workshop on Mixed-Initiative Intelligent Systems. Acapulco, p. 107-114, 2003.
17 Kerr, J. and Compton, P. Toward Generic Model-based Object Recognition by Knowledge Acquisition and Machine Learning. in Proceedings of the IJCAI-2003 Workshop on Mixed-Initiative Intelligent Systems. Acapulco, p. 80-86, 2003.
18 Ho, V., Wobcke, W., and Compton, P. EMMA: An E-mail Management Assistant. in IEEE/WIC International Conference on Intelligent Agent Technology. Los Alamitos, CA: IEEE, p. 67-74, 2003.
19 Suryanto, H. and Compton, P. Intermediate Concept Discovery in Ripple Down Rule Knowledge Bases. in the 2002 Pacific Rim Knowledge Acquisition Workshop (PKAW 2002). Tokyo, p. 233-245, 2002.
20 Kim, M. and Compton, P. Web-Based Document Management for Specialised Domains. in 13th International Conference on Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web (EKAW 2002). SigŸenza, Spain: Springer, p. 43-48, 2002.
21 Kerr, J. and Compton, P. Interactive Learning when Human and Machine Utilise Different Feature Spaces. in The 2002 Pacific Rim Knowledge Acquisition Workshop. Tokyo, Japan, p. 15-29, 2002.
22 Suryanto, H. and Compton, P. Discovery of Ontologies from Knowledge Bases. in Proceedings of the First International Conference on Knowledge Capture. Victoria, Canada: The Association for Computing Machinery, New York, p. 171-178, 2001.
24 Mahidadia, A. and Compton, P. Assisting model-discovery in neuroendocrinology. in Discovery Science: 4th Internalional Conference, DS2001. Washington: Springer, p. 214-227, 2001.
25 Kim, M. and Compton, P. Formal concept analysis for domain-specific document retrieval systems. in AI 2001: Advances in Artificial Intelligence: 14th Australian Joint Conference on Artificial Intelligence (AI'01). Adelaide: Springer-Verlag, p. 47-60, 2001.
26 Kim, M. and Compton, P. Incremental development of domain-specific document retrieval systems. in Workshop on knowledge markup and semantic annotation. Victoria BC Canada, p. 69-77, 2001.
27 Kim, M. and Compton, P. A Web-based Browsing Mechanism Based on Conceptual Structures. in Conceptual Structures: Extracting and Representing Semantics. Proceedings of the 9th International Conference on Conceptual Structures (ICCS 2001). Stanford University, California: CEUR-WS: p. 47-60, 2001.
Paul Compton worked at the Garvan Institute before his appointment at UNSW. He was the Head of School from 1996–1998, and again from 2003-2010. He was very popular as Head of School, and upon his retirement a large gathering fare-welled him, as well as creating a YouTube slide-show tribute.
Paul Compton along with R. Jansen proposed "ripple-down rules" in 1988.
Paul Compton (born 1944) is an Emeritus Professor at the University of New South Wales (UNSW). He is also the former Head of the UNSW School of Computer Science and Engineering. He is known for proposing "ripple-down rules".
