@article{1484338,
      recid = {1484338},
      author = {Keet, C. Maria,},
      title = {The what and how of modelling information and knowledge :  from mind maps to ontologies /},
      pages = {1 online resource (xiv, 177 pages) :},
      abstract = {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, we⁰́b9ll 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.},
      url = {http://library.usi.edu/record/1484338},
      doi = {https://doi.org/10.1007/978-3-031-39695-3},
}