Table Of Content

Cover image Page: page_i Title page Page: page_i Table of Contents Page: page_i Copyright Page: page_iv Other books by Jules J. Berman Page: page_v Dedication Page: page_vii About the author Page: page_xiii Preface Page: page_xv 1: Sitting in class Page: page_1 Abstract Page: page_1 Section 1.1. Sorting things out Page: page_1 Section 1.2. Things and their parts Page: page_4 Section 1.3. Relationships, classes, and properties Page: page_10 Section 1.4. Things that defy simple classification Page: page_16 Section 1.5. Classifying by time Page: page_36 2: Classification logic Page: page_81 Abstract Page: page_81 Section 2.1. Classifications defined Page: page_81 Section 2.2. The gift of inheritance Page: page_91 Section 2.3. The gift of completeness Page: page_92 Section 2.4. A classification is an evolving hypothesis Page: page_96 Section 2.5. Widely held misconceptions Page: page_98 3: Ontologies and semantics Page: page_113 Abstract Page: page_113 Section 3.1. When classifications just won’t do Page: page_113 Section 3.2. Ontologies to the rescue Page: page_115 Section 3.3. Quantum of meaning: The triple Page: page_117 Section 3.4. Semantic languages Page: page_123 Section 3.5. Why ontologies sometimes disappoint us Page: page_130 Section 3.6. Best practices for ontologies Page: page_134 4: Coping with paradoxical or flawed classifications and ontologies Page: page_155 Abstract Page: page_155 Section 4.1. Problematica Page: page_155 Section 4.2. Paradoxes Page: page_172 Section 4.3. Linking classifications, ontologies, and triplestores Page: page_177 Section 4.4. Saving hopeless classifications Page: page_180 5: The class-oriented programming paradigm Page: page_203 Abstract Page: page_203 Section 5.1. This chapter in a nutshell Page: page_203 Section 5.2. Objects and object-oriented programming languages Page: page_204 Section 5.3. Classes and class-oriented programming Page: page_209 Section 5.4. In the natural sciences, classifications are mono-parental Page: page_217 Section 5.5. Listening to what objects tell us Page: page_222 Section 5.6. A few software tools for traversing triplestores and classifications Page: page_228 6: The classification of life Page: page_251 Abstract Page: page_251 Section 6.1. All creatures great and small Page: page_251 Section 6.2. Solving the species riddle Page: page_255 Section 6.3. Wherever shall we put our viruses? Page: page_260 Section 6.4. Using the classification of life to determine when aging first evolved Page: page_270 Section 6.5. How inferences are drawn from the classification of life Page: page_278 Section 6.6. How the classification of life unifies the biological sciences Page: page_294 7: The Periodic Table Page: page_343 Abstract Page: page_343 Section 7.1. Setting the Periodic Table Page: page_343 Section 7.2. Braving the elements Page: page_348 Section 7.3. All the matter that matters Page: page_351 Section 7.4. Great deductions from anomalies in the Periodic Table Page: page_356 8: Classifying the universe Page: page_371 Abstract Page: page_371 Section 8.1. The role of mathematics in classification Page: page_371 Section 8.2. Invariances are our laws Page: page_374 Section 8.3. Fearful symmetry Page: page_388 Section 8.4. The Classification Theorem Page: page_393 Section 8.5. Symmetry groups rule the universe Page: page_398 Section 8.6. Life, the universe, and everything Page: page_405 Index Page: page_421

Description:

Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading 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.

The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they 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.

  • Explains the theory and practice of classification, emphasizing the importance of classifications and ontologies to the modern fields of mathematics, physics, chemistry, biology and medicine
  • Includes numerous real-world examples that demonstrate how bad construction technique can destroy the value of classifications and ontologies
  • Explains how we define and understand the relationships among the classes within a classification and how the properties of a class are inherited by its subclasses
  • Describes ontologies and how they differ from classifications and explains conditions under which ontologies are useful
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Classification Made Relevant PDF

2022·29.29 MB·English
by  Jules J. Berman
#Computers #Data Processing #Management Information Systems #System Administration #Database Management #General #Storage & Retrieval
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Preview Classification Made Relevant

Cover image Page: page_i Title page Page: page_i Table of Contents Page: page_i Copyright Page: page_iv Other books by Jules J. Berman Page: page_v Dedication Page: page_vii About the author Page: page_xiii Preface Page: page_xv 1: Sitting in class Page: page_1 Abstract Page: page_1 Section 1.1. Sorting things out Page: page_1 Section 1.2. Things and their parts Page: page_4 Section 1.3. Relationships, classes, and properties Page: page_10 Section 1.4. Things that defy simple classification Page: page_16 Section 1.5. Classifying by time Page: page_36 2: Classification logic Page: page_81 Abstract Page: page_81 Section 2.1. Classifications defined Page: page_81 Section 2.2. The gift of inheritance Page: page_91 Section 2.3. The gift of completeness Page: page_92 Section 2.4. A classification is an evolving hypothesis Page: page_96 Section 2.5. Widely held misconceptions Page: page_98 3: Ontologies and semantics Page: page_113 Abstract Page: page_113 Section 3.1. When classifications just won’t do Page: page_113 Section 3.2. Ontologies to the rescue Page: page_115 Section 3.3. Quantum of meaning: The triple Page: page_117 Section 3.4. Semantic languages Page: page_123 Section 3.5. Why ontologies sometimes disappoint us Page: page_130 Section 3.6. Best practices for ontologies Page: page_134 4: Coping with paradoxical or flawed classifications and ontologies Page: page_155 Abstract Page: page_155 Section 4.1. Problematica Page: page_155 Section 4.2. Paradoxes Page: page_172 Section 4.3. Linking classifications, ontologies, and triplestores Page: page_177 Section 4.4. Saving hopeless classifications Page: page_180 5: The class-oriented programming paradigm Page: page_203 Abstract Page: page_203 Section 5.1. This chapter in a nutshell Page: page_203 Section 5.2. Objects and object-oriented programming languages Page: page_204 Section 5.3. Classes and class-oriented programming Page: page_209 Section 5.4. In the natural sciences, classifications are mono-parental Page: page_217 Section 5.5. Listening to what objects tell us Page: page_222 Section 5.6. A few software tools for traversing triplestores and classifications Page: page_228 6: The classification of life Page: page_251 Abstract Page: page_251 Section 6.1. All creatures great and small Page: page_251 Section 6.2. Solving the species riddle Page: page_255 Section 6.3. Wherever shall we put our viruses? Page: page_260 Section 6.4. Using the classification of life to determine when aging first evolved Page: page_270 Section 6.5. How inferences are drawn from the classification of life Page: page_278 Section 6.6. How the classification of life unifies the biological sciences Page: page_294 7: The Periodic Table Page: page_343 Abstract Page: page_343 Section 7.1. Setting the Periodic Table Page: page_343 Section 7.2. Braving the elements Page: page_348 Section 7.3. All the matter that matters Page: page_351 Section 7.4. Great deductions from anomalies in the Periodic Table Page: page_356 8: Classifying the universe Page: page_371 Abstract Page: page_371 Section 8.1. The role of mathematics in classification Page: page_371 Section 8.2. Invariances are our laws Page: page_374 Section 8.3. Fearful symmetry Page: page_388 Section 8.4. The Classification Theorem Page: page_393 Section 8.5. Symmetry groups rule the universe Page: page_398 Section 8.6. Life, the universe, and everything Page: page_405 Index Page: page_421

Description:

Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading 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.

The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they 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.

  • Explains the theory and practice of classification, emphasizing the importance of classifications and ontologies to the modern fields of mathematics, physics, chemistry, biology and medicine
  • Includes numerous real-world examples that demonstrate how bad construction technique can destroy the value of classifications and ontologies
  • Explains how we define and understand the relationships among the classes within a classification and how the properties of a class are inherited by its subclasses
  • Describes ontologies and how they differ from classifications and explains conditions under which ontologies are useful
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