It is explored how physicalist mereotopology and Peircean semiotics can be applied to represent models, simulations, and workflows in multiscale modelling and simulation of physical systems within a top-level ontology. It is argued that to conceptualize modelling and simulation in such a framework, two major types of semiosis need to be formalized and combined with each other: Interpretation, where a sign and a represented object yield an interpretant (another representamen for the same object), and metonymization, where the represented object and a sign are in a three-way relationship with another object to which the signification is transferred. It is outlined how the main elements of the pre-existing simulation workflow descriptions MODA...
We present ModHel'X, an approach to multi-formalism modeling which addresses two important issues in...
Abstract—Ontologies have been used in a variety of domains for multiple purposes such as establishin...
In this book, internationally recognized experts in philosophy of science, computer science, and mod...
It is explored how foundational ontologies based on physicalist materialism, nominalism, and Peircea...
For descriptions of cognitive processes, including process models for research data provenance and s...
The European Materials and Modelling Ontology (EMMO) has recently been advanced in the computational...
Acesso restrito: Texto completo. p. 129-143How to model meaning processes (semiosis) in artificial s...
The present paper introduces "ontomimetic simulation" and argues that this class of models has enabl...
Texto completo: acesso restrito. p. 173-187In this work, we propose a computational approach to the ...
Borgo and Kutz recently formulated five benchmark cases for comparing foundational ontologies, which...
An ontology is a formalized knowledge structure understandable by humans and machines. Positioned wi...
Abstract: Meaningful interoperability between physics-based models requires a common understanding a...
A META-THEORETIC APPROACH TO MODELING AND SIMULATION We aim at building a methodological framework t...
We analyse the construction as well as the role of ontologies in knowledge sharing and reuse for com...
We present ModHel'X, an approach to multi-formalism modeling which addresses two important issues in...
Abstract—Ontologies have been used in a variety of domains for multiple purposes such as establishin...
In this book, internationally recognized experts in philosophy of science, computer science, and mod...
It is explored how foundational ontologies based on physicalist materialism, nominalism, and Peircea...
For descriptions of cognitive processes, including process models for research data provenance and s...
The European Materials and Modelling Ontology (EMMO) has recently been advanced in the computational...
Acesso restrito: Texto completo. p. 129-143How to model meaning processes (semiosis) in artificial s...
The present paper introduces "ontomimetic simulation" and argues that this class of models has enabl...
Texto completo: acesso restrito. p. 173-187In this work, we propose a computational approach to the ...
Borgo and Kutz recently formulated five benchmark cases for comparing foundational ontologies, which...
An ontology is a formalized knowledge structure understandable by humans and machines. Positioned wi...
Abstract: Meaningful interoperability between physics-based models requires a common understanding a...
A META-THEORETIC APPROACH TO MODELING AND SIMULATION We aim at building a methodological framework t...
We analyse the construction as well as the role of ontologies in knowledge sharing and reuse for com...
We present ModHel'X, an approach to multi-formalism modeling which addresses two important issues in...
Abstract—Ontologies have been used in a variety of domains for multiple purposes such as establishin...
In this book, internationally recognized experts in philosophy of science, computer science, and mod...