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

This book provides a comprehensive introduction to models and modelling of information and knowledge, drawing ideas and approaches from computer science and other disciplines. It covers five principal declarative modelling approaches, from entry-level mind mapping to ontologies, and addresses key questions about what types of models are there, how to build them, and what can be done with them. The intended audience is professionals, students, and academics in disciplines where systematic information modelling and knowledge representation is less common.

Format: Paperback / softback
Length: 177 pages
Publication date: 18 November 2023
Publisher: Springer International Publishing AG

The primary objective of this comprehensive book is to present a collection of models and modeling approaches that facilitate the comprehension of information and knowledge. These models and the processes involved in their creation play a crucial role in enhancing individuals' analytical and structuring abilities, enabling them to become more precise, gaining a deeper understanding of the subjects they model, and providing assistance in specific tasks where modeling is beneficial, such as reading comprehension and summarization of text. The book draws inspiration and valuable insights from a wide range of model types and the methods, techniques, tools, procedures, and methodologies employed in their development within the field of computer science.

This book encompasses five principal declarative modeling approaches designed to model information and knowledge for diverse yet interconnected purposes. It begins with an introductory chapter on entry-level mind mapping, progressing to chapters on biological models and diagrams, conceptual data models in software development, ontologies in artificial intelligence, and finally, ontologies in philosophy. Each subsequent chapter focuses on a specific type of model, addressing the limitations of the preceding ones and elevating analytical skills to new heights. Following these detailed explanations of each model type, an integrative chapter is presented, comparing the strengths and key characteristics of the models, discussing ethical considerations in modeling, and providing guidance on designing a modeling language. By addressing these critical questions, the book aims to provide a comprehensive understanding of the various types of models available, their construction processes, their applications, and the rationale behind undertaking modeling endeavors.

The intended audience for this book encompasses professionals, students, and academics from disciplines where systematic information modeling and knowledge representation are less prevalent compared to computing, such as commerce, biology, law, and humanities. By presenting a comprehensive and accessible exploration of models and modeling techniques, this book seeks to bridge the gap between these fields and promote the adoption of effective information modeling practices.

Weight: 304g
Dimension: 234 x 156 x 13 (mm)
ISBN-13: 9783031396946
Edition number: 1st ed. 2023