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Practical Systems for Formalizing Sc...
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Gillespie, Charles Thomas Henley.
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Practical Systems for Formalizing Scientific Terminology and Protocols.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Practical Systems for Formalizing Scientific Terminology and Protocols./
Author:
Gillespie, Charles Thomas Henley.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:
125 p.
Notes:
Source: Dissertations Abstracts International, Volume: 85-07, Section: A.
Contained By:
Dissertations Abstracts International85-07A.
Subject:
Neurosciences. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30687155
ISBN:
9798381376708
Practical Systems for Formalizing Scientific Terminology and Protocols.
Gillespie, Charles Thomas Henley.
Practical Systems for Formalizing Scientific Terminology and Protocols.
- Ann Arbor : ProQuest Dissertations & Theses, 2023 - 125 p.
Source: Dissertations Abstracts International, Volume: 85-07, Section: A.
Thesis (Ph.D.)--University of California, San Diego, 2023.
This dissertation presents the results of three efforts to build practical systems for formalizing concepts in science: neuron types, brain regions, and experimental protocols. Neuron types and brain regions are foundational concepts in neuroscience, and protocols are foundational for all scientific results and the concepts we build from them.Chapter One presents the Neuron Phenotype Ontology and supporting tools and their application to model common types generally known in the field and to experimental types defined by the exact techniques employed in a single lab. The goal: to provide a common method to name and communicate about neuron types by composing types as collections of phenotypes with each phenotype being a pair of a term for the value of the phenotype drawn from existing shared terminology and a relationship that captures the data modality of and methodology used to determine that value.Chapter Two presents the AtOM ontology model for anatomical atlases and the results of applying it to model a wide range of extant atlases. The goal: to establish standard ways of identifying atlases and their versions and enabling their use in digital infrastructure to facilitate a wide variety of use cases. Examples include clear communication about the exact spatial and semantic brain regions from which experimental data are collected and linking those regions to the methodologically defined criteria used to delineate their boundaries. Chapter Three presents protc/ur, a domain specific language for specifying protocols, and presents the results of applying it to extract structured data from experimental protocols. The goals: to validate the protc/ur domain model and curation workflows, show that protc/ur enables queries over complex relationships to find quantitative data extracted from natural language, and, ultimately, demonstrate that protc/ur and the system as a whole are an effective way to formalize protocols and make the details of methodology visible in information systems.Taken together these chapters show the effectiveness of using experimental methodology as an organizing principle in scientific information systems and the potential that it has as a guiding principle for building practical tools for working scientists.
ISBN: 9798381376708Subjects--Topical Terms:
588700
Neurosciences.
Subjects--Index Terms:
Brain regions
Practical Systems for Formalizing Scientific Terminology and Protocols.
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This dissertation presents the results of three efforts to build practical systems for formalizing concepts in science: neuron types, brain regions, and experimental protocols. Neuron types and brain regions are foundational concepts in neuroscience, and protocols are foundational for all scientific results and the concepts we build from them.Chapter One presents the Neuron Phenotype Ontology and supporting tools and their application to model common types generally known in the field and to experimental types defined by the exact techniques employed in a single lab. The goal: to provide a common method to name and communicate about neuron types by composing types as collections of phenotypes with each phenotype being a pair of a term for the value of the phenotype drawn from existing shared terminology and a relationship that captures the data modality of and methodology used to determine that value.Chapter Two presents the AtOM ontology model for anatomical atlases and the results of applying it to model a wide range of extant atlases. The goal: to establish standard ways of identifying atlases and their versions and enabling their use in digital infrastructure to facilitate a wide variety of use cases. Examples include clear communication about the exact spatial and semantic brain regions from which experimental data are collected and linking those regions to the methodologically defined criteria used to delineate their boundaries. Chapter Three presents protc/ur, a domain specific language for specifying protocols, and presents the results of applying it to extract structured data from experimental protocols. The goals: to validate the protc/ur domain model and curation workflows, show that protc/ur enables queries over complex relationships to find quantitative data extracted from natural language, and, ultimately, demonstrate that protc/ur and the system as a whole are an effective way to formalize protocols and make the details of methodology visible in information systems.Taken together these chapters show the effectiveness of using experimental methodology as an organizing principle in scientific information systems and the potential that it has as a guiding principle for building practical tools for working scientists.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30687155
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