HR & Recruitment Ontology

Comprehensive domain knowledge for human resources departments and recruitment agencies.

Overview

The HR & Recruitment ontology provides AI agents with deep understanding of:

• Talent acquisition and recruiting
• Employee onboarding and offboarding
• Performance management
• Benefits and compensation administration
• HR compliance and reporting

Key Entities

Entity	Description	Attributes
Candidate	Job applicant	Name, Resume, Status, Source
Employee	Team member	ID, Department, Position, Status
Position	Job opening	Title, Level, Department, Status
Application	Submission	Date, Status, Stage, Feedback
Review	Performance	Period, Rating, Goals, Feedback

Common Workflows

Recruitment Process

graph LR
    A[Job Posted] --> B[Applications]
    B --> C[Screening]
    C --> D{Qualified?}
    D -->|Yes| E[Interviews]
    D -->|No| F[Reject]
    E --> G[Offer]

Employee Onboarding

• Document collection and verification
• System access provisioning
• Training schedule creation
• Equipment assignment
• Welcome and orientation

Regulatory Compliance

Regulation	Scope	Key Requirements
EEOC	Hiring practices	Non-discrimination, fair employment
FLSA	Wages and hours	Overtime, minimum wage, classification
FMLA	Leave	Job-protected leave rights
ADA	Accommodations	Reasonable accommodations, accessibility

Prompt Templates

Candidate Screening

Evaluate candidate for {position_title}:
- Resume: {resume_summary}
- Experience: {years_experience}
- Skills: {skills_list}
- Requirements: {job_requirements}

Assess fit, highlight strengths/gaps, and recommend
interview or rejection with reasoning.

Employee Inquiry

Assist employee with {inquiry_topic}:
- Employee: {employee_id}
- Department: {department}
- Tenure: {employment_duration}

Provide accurate information about policies, benefits,
and procedures while maintaining confidentiality.

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This ontology is continuously updated based on employment law and HR best practices.