Qualitative Causal Analysis of Empirical Knowledge for Ontology Evolution in Physics

J. Lehmann; Alan Bundy; M. Chan

Qualitative Causal Analysis of Empirical Knowledge for Ontology Evolution in Physics

J. Lehmann, Alan Bundy, M. Chan

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

Ontology evolution and its automation are key factors for achieving software’s ﬂexibility and adaptability. In the approach to automated ontology evolution adopted in the GALILEO project, progress in physics is modelled as a process of ontology evolution. An overview of the approach is provided in Section 2. Section 3 shows that the construction and the modiﬁcation of qualitative causal models of experimental set-ups make it possible to gain information about the quantities that appear in an equation and contribute to creating the logical conditions for the equation to evolve.

Original language	English
Title of host publication	Notes of the ECAI-10 Workshop on Automated Reasoning about Context and Ontology Evolution
Publication status	Published - 16 Aug 2010

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Ontology Evolution in Physics
Bundy, A.
EPSRC
1/07/08 → 31/12/11
Project: Research

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title = "Qualitative Causal Analysis of Empirical Knowledge for Ontology Evolution in Physics",

abstract = "Ontology evolution and its automation are key factors for achieving software{\textquoteright}s ﬂexibility and adaptability. In the approach to automated ontology evolution adopted in the GALILEO project, progress in physics is modelled as a process of ontology evolution. An overview of the approach is provided in Section 2. Section 3 shows that the construction and the modiﬁcation of qualitative causal models of experimental set-ups make it possible to gain information about the quantities that appear in an equation and contribute to creating the logical conditions for the equation to evolve.",

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AU - Chan, M.

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N2 - Ontology evolution and its automation are key factors for achieving software’s ﬂexibility and adaptability. In the approach to automated ontology evolution adopted in the GALILEO project, progress in physics is modelled as a process of ontology evolution. An overview of the approach is provided in Section 2. Section 3 shows that the construction and the modiﬁcation of qualitative causal models of experimental set-ups make it possible to gain information about the quantities that appear in an equation and contribute to creating the logical conditions for the equation to evolve.

AB - Ontology evolution and its automation are key factors for achieving software’s ﬂexibility and adaptability. In the approach to automated ontology evolution adopted in the GALILEO project, progress in physics is modelled as a process of ontology evolution. An overview of the approach is provided in Section 2. Section 3 shows that the construction and the modiﬁcation of qualitative causal models of experimental set-ups make it possible to gain information about the quantities that appear in an equation and contribute to creating the logical conditions for the equation to evolve.

M3 - Conference contribution

BT - Notes of the ECAI-10 Workshop on Automated Reasoning about Context and Ontology Evolution

ER -

Qualitative Causal Analysis of Empirical Knowledge for Ontology Evolution in Physics

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Ontology Evolution in Physics

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