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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

Download The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies

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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.

Semantics and Data Graph Semantics Based on The
The concept map is a visual image of linking FTypes and FCodes from The National Map to the Feature subclass of the GeoSPARQL ontology. The geometry values 
CREATING ONTOLOGY BASED CONCEPT MAPS WHICH
RDF is a data model to define data for semantic web. This model is based on The use of concept mapping and knowledge vee mapping with junior high school 
Mind map classifying ontology methodologies
Download scientific diagram | Mind map classifying ontology methodologies from publication: PerfectO: An Online Toolkit for Improving Quality, Accessibility 
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 certain 
Developing a Formal Model for Mind Maps
Its establishment will support the application of algorithms and methods towards their information extraction. Keywords: mind map, knowledge organization, Web 
Keet CM The What and How of Modelling Information
Introduces models and modelling processes to improve analytical skills and precision. Describes and compares mind-maps, models in biology, 
Multidimensional Concept Map Representation of the
This work presents the creation and representation of an ontology model for the domain knowledge used for learning objects.
Functional Ontology and Concept Maps for Knowledge
In this study, we have developed a knowledge map navigation which is based on functional ontology and concept maps. A functional ontology model is presented to 

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