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The main aim of this book is to introduce a group of models and modelling of information and knowledge comprehensibly. Such models and the processes for how to create them help to improve the skills to analyse and structure thoughts and ideas, to become more precise, to gain a deeper understanding of the matter being modelled, and to assist with specific tasks where modelling helps, such as reading comprehension and summarisation of text. The book draws ideas and transferrable approaches from the plethora of types of models and the methods, techniques, tools, procedures, and methodologies to create them in computer science. This book covers five principal declarative modelling approaches to model information and knowledge for different, yet related, purposes. It starts with entry-level mind mapping, to proceed to biological models and diagrams, onward to conceptual data models in software development, and from there to ontologies in artificial intelligence and all the way to ontology in philosophy. Each successive chapter about a type of model solves limitations of the preceding one and turns up the analytical skills a notch. These what-and-how for each type of model is followed by an integrative chapter that ties them together, comparing their strengths and key characteristics, ethics in modelling, and how to design a modelling language. In so doing, we’ll address key questions such as: what type of models are there? How do you build one? What can you do with a model? Which type of model is best for what purpose? Why do all that modelling? The intended audience for this book is professionals, students, and academics in disciplines where systematic information modelling and knowledge representation is much less common than in computing, such as in commerce, biology, law, and humanities. And if a computer science student or a software developer needs a quick refresher on conceptual data models or a short solid overview of ontologies, then this book will serve them well.
COE ontology map interface. Links to other
It bridges the gap between the informal nature of concept maps and the formal machine-readable Web ontology languages (Hayes et al., 2005) , by making use of a
Mind map classifying ontology documentation tools
Furthermore, Internet of Things (IoT) technologies can help to acquire physiological data knowledge. The goal of this paper is to aggregate the
The use of concept maps during knowledge elicitation in
Incorporation of ontologies into annotations has enabled 'semantic integration' of complex data, making explicit the knowledge within a
(PDF) Mapping Knowledge about Product Lifecycle
Knowledge mapping is a first and mandatory step in ontology definition. This paper considers the lifecycle of products and systems, and discusses the
Ontological Engineering | Download Scientific Diagram
data specifically using mind maps. Their ontology engineering was used to provide structures and mental models that support information understanding.
From Mind Maps to Ontologies (Paperback)
The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies (Paperback) Her research focuses on ontology engineering, conceptual
On Ontological Modeling of Measurements in a Complex
5) the branches form a connected nodal structure. Four low-level ontologies are depicted as mind maps in Guarino, ”Formal Ontology and Information Systems” in.
First Steps in Ontology Development: Knowledge Portal for
This is why we've decided to make first a concept map - visual representation of the top level of ontology is a powerful mind tool in data structuring
From Mind Maps to Ontologies , Keet, C. Maria, eBook
This book covers five principal declarative modelling approaches to model information and knowledge for different, yet related, purposes. It starts with entry-
The What and How of Modelling Information and Knowledge
This book covers five principal declarative modelling approaches to model information and knowledge for different, yet related, purposes. It starts with entry-
Screenshot of a free mind mapping software called
Ontologies can be used to assign semantics to information items and solve interoperability and knowledge-related problems. Many methods have been proposed to