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Anirban Acharya

PROFILE

Anirban Acharya

Anirban Acharya developed the FitMe ontology core for the tetherless-world/ontology-engineering repository, focusing on scalable knowledge representation for foods, nutrients, exercises, muscles, and goals. Using OWL and RDF, Anirban engineered comprehensive classes and properties, restructured the ontology to improve semantic inference, and corrected critical data classifications to ensure accurate labeling and decision support. The work included targeted cleanup of deprecated materials and refinement of material restrictions to maintain data integrity. By expanding distribution lists and adding new individuals, Anirban enabled richer relationships and more robust reasoning, demonstrating depth in data modeling, ontology engineering, and semantic web technologies throughout the project.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

7Total
Bugs
0
Commits
7
Features
1
Lines of code
8,207
Activity Months1

Work History

October 2024

7 Commits • 1 Features

Oct 1, 2024

October 2024 monthly summary for the tetherless-world/ontology-engineering project. Focused on delivering a robust FitMe ontology core and expanding the knowledge base, with targeted cleanup and restructuring to enable scalable semantic reasoning and accurate inferences.

Activity

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Quality Metrics

Correctness91.4%
Maintainability94.2%
Architecture91.4%
Performance91.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

OWLRDF

Technical Skills

Data ModelingKnowledge RepresentationOntology EngineeringSemantic Web

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

tetherless-world/ontology-engineering

Oct 2024 Oct 2024
1 Month active

Languages Used

OWLRDF

Technical Skills

Data ModelingKnowledge RepresentationOntology EngineeringSemantic Web

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