The Human Capital Ontology
Shane Babcock, Maxwell Farrington, John Gugliotti

TL;DR
The Human Capital Ontology (HCO) is a comprehensive formal model that standardizes and classifies federal human resource data, integrating various classification systems and operational codes for improved data management.
Contribution
It introduces a formal ontology extending existing standards to unify classification and coding of federal human capital data.
Findings
Provides a structured representation of OPM job classifications.
Enables crosswalks between federal and standard occupational codes.
Facilitates data integration and analysis in human resource management.
Abstract
The Human Capital Ontology (HCO) is an ontology that represents data standards maintained and employed by the Office of Personnel Management (OPM) to represent Human Capital Operations and to classify job positions. The HCO is an extension of the Common Core Ontologies and the upper-level Basic Formal Ontology (BFO). HCO provides representation of OPM Natures of Action (NOA) that are used to identify human resource personnel actions, as well as their corresponding codes. HCO also represents Occupational Groups and Job Families, the Occupational Series into which these subdivide, as well as their corresponding codes, used by OPM to classify and grade both white- and blue-collar jobs in the Federal Government. HCO also encodes crosswalks between OPM Occupational Series and corresponding Standard Occupational Classification Codes maintained by the U.S. Bureau of Labor Statistics.
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Taxonomy
TopicsAI and HR Technologies · Artificial Intelligence in Law · Personal Information Management and User Behavior
