Classification Made Relevant

How Scientists Build and Use Classifications and Ontologies
Erscheinungsjahr 2022
ISBN: 978-0-323-91786-5
Verlag: William Andrew Publishing

Buch, Englisch, 444 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

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.

Zielgruppe

Upper division undergraduate students, graduate students, and researchers across a broad range of STM disciplines who need to organize and analyze information; graduate students, researchers and professionals in library science, computer and data science.

Autoren/Hrsg.

Berman, Jules J.

Fachgebiete

• Interdisziplinäres Bibliothekswesen, Informationswissenschaften Bibliothekswesen, Informationswissenschaften, Archivwesen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

1. Sitting in Class 2. Classification Logic 3. Ontologies and Semantics 4. Coping with Paradoxical or Flawed Classifications and Ontologies 5. The Class-Oriented Programming Paradigm 6. The Classification of Life 7. The Periodic Table 8. Classifying the Universe

Über Autor(innen)

Berman, Jules J.
Jules Berman holds two Bachelor of Science degrees from MIT (in Mathematics and in Earth and Planetary Sciences), a PhD from Temple University, and an MD from the University of Miami. He was a graduate researcher at the Fels Cancer Research Institute (Temple University) and at the American Health Foundation in Valhalla, New York. He completed his postdoctoral studies at the US National Institutes of Health, and his residency at the George Washington University Medical Center in Washington, DC. Dr. Berman served as Chief of anatomic pathology, surgical pathology, and cytopathology at the Veterans Administration Medical Center in Baltimore, Maryland, where he held joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. In 1998, he transferred to the US National Institutes of Health as a Medical Officer and as the Program Director for Pathology Informatics in the Cancer Diagnosis Program at the National Cancer Institute. Dr. Berman is a past President of the Association for Pathology Informatics and is the 2011 recipient of the Association's Lifetime Achievement Award. He is a listed author of more than 200 scientific publications and has written more than a dozen books in his three areas of expertise: informatics, computer programming, and pathology. Dr. Berman is currently a freelance writer.