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War of ontology worlds: mathematics, computer code, or Esperanto?
Andrey Rzhetsky1, James A Evans
1Department of Medicine, University of Chicago, Chicago, Illinois, United States of America. arzhetsky@uchicago.edu
Plos Computational Biology
|October 8, 2011
Summary
Leading ontologists hold diverse views on biomedical ontologies, categorized as mathematics, computer code, or Esperanto. Synthesizing these perspectives can advance future biomedical ontology development.
Area of Science:
- Biomedical informatics
- Knowledge representation
- Ontology engineering
Background:
- Structured knowledge representations, including ontologies and terminologies, are integral to modern biomedicine.
- Existing definitions and underlying philosophies of ontologies vary significantly.
- Understanding these diverse perspectives is crucial for advancing the field.
Purpose of the Study:
- To explicate the varied perspectives of leading ontologists regarding biomedical ontologies.
- To identify and summarize distinct philosophical and practical approaches to ontology development.
- To explore how these diverse views can inform the future of biomedical ontologies.
Main Methods:
- Conducted and summarized interviews with a dozen prominent ontologists.
- Analyzed interview data to identify recurring themes and philosophical clusters.
- Categorized the identified perspectives into three broad groups: mathematics, computer code, and Esperanto.
Main Results:
- Identified three primary perspectives on ontology development: mathematics (emphasizing rigor, logic, and consistency), computer code (prioritizing utility and custom design for diverse applications), and Esperanto (focusing on cross-disciplinary communication and data integration).
- Demonstrated alignment between these perspectives and historical divisions within scientific thought.
- Highlighted the potential for a synthesized approach to enhance next-generation biomedical ontologies.
Conclusions:
- The diverse philosophical underpinnings of biomedical ontologies can be broadly categorized into three main viewpoints.
- Recognizing and integrating these distinct perspectives offers a pathway to more robust and versatile biomedical knowledge representations.
- A synthesis of mathematical rigor, computational utility, and communicative facilitation is key to advancing biomedical ontology development.
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