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  1. Fabian Neuhaus, Elizabeth Florescu, Antony Galton, Michael Gruninger, Nicola Guarino, Leo Obrst, Arturo Sanchez, Amanda Vizedom, Peter Yim & Barry Smith (2011). Creating the Ontologists of the Future. Applied Ontology 6 (1):91-98.
    The goal of the Ontology Summit 2010 was to address the current shortage of persons with ontology expertise by developing a strategy for the education of ontologists. To achieve this goal we studied how ontologists are currently trained, the requirements identified by organizations that hire ontologists, and developments that might impact the training of ontologists in the future. We developed recommendations for the body of knowledge that should be taught and the skills that should be developed by future ontologists; these (...)
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  2. Antony Galton & Riichiro Mizoguchi (2009). The Water Falls but the Waterfall Does Not Fall: New Perspectives on Objects, Processes and Events. Applied Ontology 4 (2):71-107.
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  3. Zena Wood & Antony Galton (2009). A Taxonomy of Collective Phenomena. Applied Ontology 4 (3):267-292.
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  4. Antony Galton (2008). On the Paradoxical Nature of Surfaces. The Monist 90 (3):379-390.
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  5. Antony Galton, Temporal Logic. Stanford Encyclopedia of Philosophy.
  6. Antony Galton (2007). On the Paradoxical Nature of Surfaces: Ontology at the Physics/Geometry Interface. The Monist 90 (3):379-390.
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  7. Antony Galton (2006). On the Process of Coming Into Existence. The Monist 89 (3):294-312.
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  8. Antony Galton (2006). Operators Vs. Arguments: The Ins and Outs of Reification. Synthese 150 (3):415 - 441.
    So-called ‘reified temporal logics’ were introduced by researchers in Artificial Intelligence (AI) in the early 1980s, and gave rise to a long-running series of debates concerning the proper way to represent states, events, causation, action, and other notions identified as crucial to the knowledge representation needs of AI. These debates never resulted in a definitive resolution of the issues under discussion, and indeed continue to produce aftershocks to the present day; none the less, we are now sufficiently far removed in (...)
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  9. Antony Galton (2005). Ontology is Not Just About Objects: Poorly Individuated Phenomena in Geo-Ontology. Applied Ontology 1 (1):47-52.
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  10. Antony Galton (2001). Space, Time, and the Representation of Geographical Reality. Topoi 20 (2):173-187.
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  11. Antony Galton (1996). The Church-Turing Thesis: Its Nature and Status. In P. J. R. Millican & A. Clark (eds.), Machines and Thought: The Legacy of Alan Turing, Volume 1. Clarendon Press.
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  12. Derek Partridge & Antony Galton (1995). The Specification of “Specification”. Minds and Machines 5 (2):243-255.
    The notion of specification plays a key role in the developing science of computing. It is typically considered to be the keystone in the software development process. However, there is no single, generally agreed meaning of specification that bears close scrutiny. Instead there is a variety of different, although partially interlocking and overlapping interpretations of the term.We catalogue this varietal profusion and attempt to lay bare both the sources and consequences of each major alternative. We attempt to present the full (...)
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  13. Antony Galton (1993). On the Notions of Specification and Implementation. Royal Institute of Philosophy Supplement 34:111-136.
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  14. Antony Galton (1984). The Logic of Aspect: An Axiomatic Approach. Clarendon Press.
     
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