The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies. C. Maria Keet
The-What-and-How-of-Modelling.pdf
ISBN: 9783031396946 | 177 pages | 5 Mb
- The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies
- C. Maria Keet
- Page: 177
- Format: pdf, ePub, fb2, mobi
- 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.
From Mind Maps to Ontologies (Paperback)
Her research focuses on ontology engineering, conceptual data models, and natural language generation within the area of knowledge engineering, which has
Mind map of the urinary system chapter Fig. 7 presents
This work presents the creation and representation of an ontology model for the domain knowledge used for learning objects. The purpose of the developed
Summarizing the ontology classifications in a mind-map.
Ontology was chosen as the contemporary most comprehensive knowledge representation and codification model. Our approach uses participatory action research
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
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
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,
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
[PDF] Developing a Formal Model for Mind Maps
A formal mind map model aiming to describe the structure, content, semantics and social connections is presented, which will support the
Conceptualization of the Knowledge Maps
Specifications of content for the selected knowledge map examples and templates – information models – can be considered as content ontology
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.