Ontologies, Taxonomies And Thesauri In Systems Science And Systematics, Curras, Emilia
Автор: Sicilia Miguel Angel Название: Handbook of Metadata, Semantics and Ontologies ISBN: 9812836292 ISBN-13(EAN): 9789812836298 Издательство: World Scientific Publishing Рейтинг: Цена: 29146.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. This book covers the variety of metadata schemas and ontologies available in a number of key domain areas, including culture, biology, education, and healthcare.
Название: Taxonomies ISBN: 1783304812 ISBN-13(EAN): 9781783304813 Издательство: Taylor&Francis Рейтинг: Цена: 7656.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Taxonomies is a curated anthology of case studies of taxonomy projects that showcases the incredible breadth and depth of work being done by taxonomists across many different types of sectors and organisations. The book aims to inspire and educate anyone who needs to organise information and data.
Автор: King, Brandy Название: Finding The Concept, Not Just The Word ISBN: 1843343185 ISBN-13(EAN): 9781843343189 Издательство: Elsevier Science Рейтинг: Цена: 8083.00 р. Наличие на складе: Поставка под заказ.
Описание: Aimed at students and professionals Finding the Concept, Not Just the Word is about the power and potential of ontologies to enhance the electronic search process. The book will compare search strategies and results in the current search environment and demonstrate how these could be transformed using ontologies and concept searching.
Classification Made Relevant explains how classifications and ontologies are designed, and how they are used to analyze scientific information. It is through our description of the relationships among classes of objects that we are able to simplify knowledge and explore the ways in which individual classified objects behave. The book begins by describing the fundamentals of classification and leads up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. This book is intended to reach a multidisciplinary audience of students and professionals working in the data sciences, the library sciences, and all of the STEM sciences.
The chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, there follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items, where the item is clarified and expanded. Technical terms in the data sciences often have different meanings, depending on the reader's specific discipline. The word "ontology" has so many meanings, it has become meaningless. Skeptics can google on the word "ontology" to quickly confirm the inchoate status of this subject. In such cases, the glossary describes the different way the term has been used and will clarify its meaning within the book's context. For the benefit of computer scientists, the glossary contains short scripts written in Perl or Python or Ruby. Non-programmers will be spared from reading computer code, without missing out on the concepts covered in each chapter. By using the glossary links, every reader experiences a version of this book tailored to their personal needs and preferences.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
