000			03221nam a2200349Ia 4500
000			03716nam a22003735i 4500
001			978-3-031-39695-3
003			DE-He213
005			20240319121149.0
007			cr nn 008mamaa
008			231117s2023 sz | s |||| 0|eng d
020			_a9783031396953 _9978-3-031-39695-3
082			_a658.4038
100			_aKeet, C. Maria. _939963
245			_aThe What and How of Modelling Information and Knowledge _cby C. Maria Keet. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXIV, 177 p. 40 illus., 17 illus. in color. _bonline resource.
520			_aThe 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.
650			_aAnalysis (Philosophy). _939964
650			_aApplication software. _939965
650			_aComputer and Information Systems Applications. _939966
650			_aConceptual Analysis. _939967
650			_aInformation Model. _939968
650			_aInformation modeling. _939969
650			_aKnowledge management. _939970
650			_aKnowledge Management. _939971
650			_aSoftware engineering. _939972
650			_aSoftware Engineering. _939973
856			_uhttps://doi.org/10.1007/978-3-031-39695-3
942			_cEBK _2ddc
999			_c15910 _d15910