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The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies by C. Maria Keet

• The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies
• C. Maria Keet
• Page: 177
• Format: pdf, ePub, mobi, fb2
• ISBN: 9783031396946
• Publisher: Springer Nature Switzerland

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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.

Gestalt principles of creating learning business ontologies
Ontologies that describe the main concepts of knowledge are used both for knowledge creation and codification. The proposed framework is targeted at the 
Steps (1–6) and milestones (boxes).
In the field of ontologies, concept maps were explored to be used to facilitate different aspects of ontology development. An essential reason behind this 
concept-maps-collaborative-creation-in-product-lifecycle-
Ontologies being developed mostly by information technology experts, their mental model is used in use of concept maps during knowledge elicitation in 
Construct Primary Education Semantic Ontology Library
derived from mind mapping by providing logical description of the ontologies to precisely define semantics; structured data is mapping model to the ontology 
The What and How of Modelling Information and Knowledge
Buy the book The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies by c. maria keet at Indigo.
Big Data Structuring: The Role of Visual - CyberLeninka
Figure 1 illustrates different ontology classifications in the form of the mind map. ontology segment will allow to simplify the understanding of data and its.
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
Acheter le livre The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies par c. maria keet à Indigo.
The What and How of Modelling Information and Knowledge
Describes and compares five modelling approaches: mind-maps, models in biology, conceptual data models, ontologies, and ontology;; Aims at 

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