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Towards a Biographical Ontology: The OntoBio Framework and Its Applications.

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Title: Towards a Biographical Ontology: The OntoBio Framework and Its Applications.
Authors: Dutta, Biswanath1 bisu@drtc.isibang.ac.in, Arzoo, Shakeeb1
Source: Knowledge Organization. Feb2026, Vol. 53 Issue 1, p1-22. 22p.
Subjects: Ontology, Linked data (Semantic Web), Occupational achievement, Knowledge graphs, Social context, Semantic integration (Computer systems)
Abstract: This work introduces OntoBio, a biographical ontology grounded in Linked Data principles. The study reviews existing ontologies to identify limitations in their ability to represent the diversity and complexity of individual lives. To address these gaps, we developed OntoBio using a tripartite framework encompassing Personality, Environment and Milieu, and Achievements/Milestones. This framework is supported by an expressive vocabulary designed to capture the multifaceted nature of biographical knowledge. OntoBio provides a structural foundation for the semantic integration of existing ontologies that only partially represent biographical data. We present a set of use-case scenarios that motivated OntoBio's development and highlight its key modeling features. To ensure robustness and interoperability, OntoBio was developed following the Yet Another Methodology for large-scale faceted Ontology Construction (YAMO) methodology and in compliance with World Wide Web Consortium (W3C) standards, including Resource Description Framework (RDF), Web Ontology Language (OWL), and SPARQL Protocol and RDF Query Language (SPARQL). Finally, we evaluate the ontology by constructing a biographical knowledge graph illustrating the life of a prominent individual. [ABSTRACT FROM AUTHOR]
Copyright of Knowledge Organization is the property of IMR Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: This work introduces OntoBio, a biographical ontology grounded in Linked Data principles. The study reviews existing ontologies to identify limitations in their ability to represent the diversity and complexity of individual lives. To address these gaps, we developed OntoBio using a tripartite framework encompassing Personality, Environment and Milieu, and Achievements/Milestones. This framework is supported by an expressive vocabulary designed to capture the multifaceted nature of biographical knowledge. OntoBio provides a structural foundation for the semantic integration of existing ontologies that only partially represent biographical data. We present a set of use-case scenarios that motivated OntoBio's development and highlight its key modeling features. To ensure robustness and interoperability, OntoBio was developed following the Yet Another Methodology for large-scale faceted Ontology Construction (YAMO) methodology and in compliance with World Wide Web Consortium (W3C) standards, including Resource Description Framework (RDF), Web Ontology Language (OWL), and SPARQL Protocol and RDF Query Language (SPARQL). Finally, we evaluate the ontology by constructing a biographical knowledge graph illustrating the life of a prominent individual. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Knowledge Organization is the property of IMR Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Feb2026
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