Classification Made Relevant How Scientists Build and Use Classifications and Ontologies
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...
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| Format: | eBook |
| Language: | English |
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Chantilly
Elsevier Science & Technology
2022
Academic Press |
| Edition: | 1 |
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| ISBN: | 9780323917865, 0323917860 |
| Online Access: | Get full text |
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| Abstract | 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. |
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| AbstractList | Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. 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. |
| Author | Berman, Jules J |
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| Snippet | Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to... Classification Made Relevant explains how classifications and ontologies are designed, and how they are used to analyze scientific information. It is through... |
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| SubjectTerms | Classification of sciences Science |
| Subtitle | How Scientists Build and Use Classifications and Ontologies |
| TableOfContents | Section 6.1. All creatures great and small -- Section 6.2. Solving the species riddle -- Section 6.3. Wherever shall we put our viruses? -- Section 6.4. Using the classification of life to determine when aging first evolved -- Section 6.5. How inferences are drawn from the classification of life -- Section 6.6. How the classification of life unifies the biological sciences -- Glossary -- References -- Chapter 7: The Periodic Table -- Section 7.1. Setting the Periodic Table -- Section 7.2. Braving the elements -- Section 7.3. All the matter that matters -- Section 7.4. Great deductions from anomalies in the Periodic Table -- Glossary -- References -- Chapter 8: Classifying the universe -- Section 8.1. The role of mathematics in classification -- Section 8.2. Invariances are our laws -- Section 8.3. Fearful symmetry -- Section 8.4. The Classification Theorem -- Section 8.5. Symmetry groups rule the universe -- Section 8.6. Life, the universe, and everything -- Glossary -- References -- Index Intro -- Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies -- Copyright -- Other books by Jules J. Berman -- Dedication -- Contents -- About the author -- Preface -- Chapter 1: Sitting in class -- Section 1.1. Sorting things out -- Section 1.2. Things and their parts -- Section 1.3. Relationships, classes, and properties -- Section 1.4. Things that defy simple classification -- Section 1.5. Classifying by time -- Glossary -- References -- Chapter 2: Classification logic -- Section 2.1. Classifications defined -- Section 2.2. The gift of inheritance -- Section 2.3. The gift of completeness -- Section 2.4. A classification is an evolving hypothesis -- Section 2.5. Widely held misconceptions -- Glossary -- References -- Chapter 3: Ontologies and semantics -- Section 3.1. When classifications just wont do -- Section 3.2. Ontologies to the rescue -- Section 3.3. Quantum of meaning: The triple -- Section 3.4. Semantic languages -- Section 3.5. Why ontologies sometimes disappoint us -- Section 3.6. Best practices for ontologies -- Glossary -- References -- Chapter 4: Coping with paradoxical or flawed classifications and ontologies -- Section 4.1. Problematica -- Section 4.2. Paradoxes -- Section 4.3. Linking classifications, ontologies, and triplestores -- Section 4.4. Saving hopeless classifications -- Glossary -- References -- Chapter 5: The class-oriented programming paradigm -- Section 5.1. This chapter in a nutshell -- Section 5.2. Objects and object-oriented programming languages -- Section 5.3. Classes and class-oriented programming -- Section 5.4. In the natural sciences, classifications are mono-parental -- Section 5.5. Listening to what objects tell us -- Section 5.6. A few software tools for traversing triplestores and classifications -- Glossary -- References -- Chapter 6: The classification of life |
| Title | Classification Made Relevant |
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