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
Ebooks in pdf format free download The What and How of Modelling Information and Knowledge: From Mind Maps to Ontologies (English Edition) by C. Maria Keet
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.
Summarizing the ontology classifications in a mind-map
Download scientific diagram | Summarizing the ontology classifications in a mind-map from publication: Big Data Structuring: The Role of Visual Models and
C. Maria Keet The What and How of Modelling Information
From Mind Maps to Ontologies | The What and How of Modelling Information and Knowledge by C. Maria Keet, Paperback | Indigo Chapters.
(PDF) Semantics of Knowledge Map Visualization
A mind map represents the data as a drawing that shows the link between different elements of information and can assist in theory-refining for an
(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
A Mind Map Teaching Mode for Sports Anatomy based on
There are several approaches in modeling online courses with ontologies and some concept mapping information, combining old and new knowledge. Meanwhile
(PDF) Concept Map-Based Knowledge Modeling
The notion of knowledge modeling is described to illustrate a particular method by which concept maps might be employed to create a useful structure and
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 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-
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.
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