tetherless-world/ontology-engineering
Oct 2024 – Dec 2024
3 Months active
Languages Used
MarkdownRDFOWLSKOSHTMLSPARQL
Technical Skills
Data ModelingDocumentationOntology EngineeringSemantic WebTechnical WritingBioinformatics
Cole
PROFILE
Cole
Cole Feuer contributed to the tetherless-world/ontology-engineering repository by developing and refining a pharmacogenomics ontology, focusing on structured data modeling and semantic web integration. Over three months, Cole standardized ontology naming conventions, resolved RDF namespace conflicts, and expanded the domain model to include drug, gene, and patient representations. Using OWL, RDF, and SPARQL, Cole implemented treatment response logic, gene subclassing, and allele associations to support nuanced reasoning and data-driven insights. Cole also enhanced the project’s documentation and user interface, improving onboarding and discoverability. The work demonstrated depth in ontology engineering, balancing experimental features with stability and maintainability throughout development.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
38Total
Bugs
9
Commits
38
Features
12
Lines of code
22,945
Activity Months3
Your Network
14 people
Work History
December 2024
9 Commits • 3 Features
Dec 1, 2024December 2024: Delivered substantial enhancements to the tetherless-world/ontology-engineering repo, including data model improvements for SNRI/SSRI treatment responses, robust RDF namespace merge fixes to align PDT ontology prefixes, and a UI/landing page redesign to improve user engagement. Expanded documentation and SPARQL demo queries to support allele research affecting SSRI effectiveness. These changes reduce data integration friction, improve queryability, and provide a clearer on-boarding experience for researchers.
9 Commits • 3 Features
Dec 1, 2024December 2024: Delivered substantial enhancements to the tetherless-world/ontology-engineering repo, including data model improvements for SNRI/SSRI treatment responses, robust RDF namespace merge fixes to align PDT ontology prefixes, and a UI/landing page redesign to improve user engagement. Expanded documentation and SPARQL demo queries to support allele research affecting SSRI effectiveness. These changes reduce data integration friction, improve queryability, and provide a clearer on-boarding experience for researchers.
December 2024
November 2024
22 Commits • 7 Features
Nov 1, 2024November 2024 monthly summary for tetherless-world/ontology-engineering: Delivered foundational ontology groundwork with a domain model including drug individuals, patient and diagnosis examples, core classes/definitions, and initial labeling to enable structured reasoning. Implemented gene-driven data modeling through gene subclasses and allele additions for enhanced biological granularity. Advanced treatment decision capabilities by introducing treatment response logic (including SLC6A4 long-allele specific responses) and supporting definitions; this work laid the groundwork for more nuanced pharmacogenomics reasoning, while subsequent fixes ensured stability. Created scaffolding for practical data access and evaluation with the first competency question and SPARQL query. Explored and re-applied the adult age classifier to evaluate age-based decisions, and addressed tolerability handling. Contributed to code quality and project hygiene through merges/housekeeping, addressing merge-related fixes, and targeted bug fixes to improve reliability. Overall, the month established a scalable reasoning foundation, enabling future decision support, patient stratification, and data-driven insights, while balancing experimentation with stability.
November 2024
22 Commits • 7 Features
Nov 1, 2024November 2024 monthly summary for tetherless-world/ontology-engineering: Delivered foundational ontology groundwork with a domain model including drug individuals, patient and diagnosis examples, core classes/definitions, and initial labeling to enable structured reasoning. Implemented gene-driven data modeling through gene subclasses and allele additions for enhanced biological granularity. Advanced treatment decision capabilities by introducing treatment response logic (including SLC6A4 long-allele specific responses) and supporting definitions; this work laid the groundwork for more nuanced pharmacogenomics reasoning, while subsequent fixes ensured stability. Created scaffolding for practical data access and evaluation with the first competency question and SPARQL query. Explored and re-applied the adult age classifier to evaluate age-based decisions, and addressed tolerability handling. Contributed to code quality and project hygiene through merges/housekeeping, addressing merge-related fixes, and targeted bug fixes to improve reliability. Overall, the month established a scalable reasoning foundation, enabling future decision support, patient stratification, and data-driven insights, while balancing experimentation with stability.
October 2024
7 Commits • 2 Features
Oct 1, 2024October 2024 monthly summary for tetherless-world/ontology-engineering focused on delivering data consistency, RDF correctness, and user-facing improvements in the ontology domain. Delivered camelCase naming standardization across the ontology (enhancing readability and interoperability), corrected RDF metadata semantics for serotonin receptor descriptions, and expanded the website abstract and navigation to improve discoverability and developer experience. These efforts reduce downstream integration friction, improve data quality, and enable faster onboarding for new contributors.
7 Commits • 2 Features
Oct 1, 2024October 2024 monthly summary for tetherless-world/ontology-engineering focused on delivering data consistency, RDF correctness, and user-facing improvements in the ontology domain. Delivered camelCase naming standardization across the ontology (enhancing readability and interoperability), corrected RDF metadata semantics for serotonin receptor descriptions, and expanded the website abstract and navigation to improve discoverability and developer experience. These efforts reduce downstream integration friction, improve data quality, and enable faster onboarding for new contributors.
October 2024
Activity
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Quality Metrics
Correctness88.4%
Maintainability88.4%
Architecture87.8%
Performance83.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLMarkdownOWLRDFSKOSSPARQL
Technical Skills
BioinformaticsContent ManagementData ModelingDocumentationDomain ModelingFront End DevelopmentKnowledge RepresentationMerge Conflict ResolutionOWLOntology EngineeringPharmacogenomicsRDFRDF SchemaSKOSSPARQL
Repositories Contributed To
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