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

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


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ISBN: 9783031396946 | 177 pages | 5 Mb

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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.

(PDF) Visual analytical thinking and mind maps for
From the well-known practically used types of diagrams, mind maps were selected as the most common, convenient and simple method for the proper formation and 
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 
Screenshot of a free mind mapping software called
In the field of ontology and design, ontology can be applied in knowledge sharing. Using methontology approach, ontology modeling and implementation are 
Mind map of the EN/ISO 13606 "diagnosis" archetype in
Besides the reutilization of previously declared knowledge and inference of new knowledge, the use of ontologies allows the modelling of information using any 
The What and How of Modelling Information and Knowledge
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 
Modelling Consumer Knowledge: the Role of Ontology
Increase in information volume does not promote any linear growth in awareness of parties due to cognitive mistakes, mistakes in thinking process, as well as 
The What and How of Modelling Information
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 
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 
Rapid Ontology Development model based on Business
Information and Knowledge Processing. Hefke, M., & Stojanovic, L. (2004). An Concept map model for web ontology exploration. In Frontiers of Www Research 
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 
View of a concept map. Adapted with permission from [10].
Incorporation of ontologies into annotations has enabled 'semantic integration' of complex data, making explicit the knowledge within a certain field.
MIND – Semantic Based Knowledge Visualization
Knowledge, Information and Data have always been of importance in human knowledge map, MIND provides zoom in/zoom out, roll up/roll down (of links) 
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 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