Are you collecting domain experience from JD?

Yes, RChilli does collect and utilize domain experience from job descriptions (JDs) through its Job Parser and Search & Match API, leveraging its powerful Taxonomy 3.0 for enriched understanding and classification.

How RChilli Collects Domain Experience from JDs

1. Job Parser API:

   • RChilli's Job Parser extracts structured information from unstructured job descriptions.

   • It identifies and standardizes elements like job title, required skills, experience level, education, and domain/industry context.

   • The extracted data is mapped against RChilli’s extensive taxonomy library, which includes over 3 million skills and 2.4 million job profiles across multiple domains.

2. Domain Tagging and Classification:

   • RChilli applies ontology and taxonomy-based classification to detect the domain or industry context of the job description.

   • This includes mapping job titles and required skills to predefined domains (e.g., IT, Finance, Healthcare) using its Standardization/Taxonomy 3.0 module.

   • It also supports multilingual and government-compliant taxonomy mappings for international standards.

3. Search & Match Engine:

   • When used in conjunction with the Search & Match API, the job data is indexed along with domain-related metadata.

   • This enables smart matching between job descriptions and resumes based on domain expertise, in addition to skills, location, education, and company.

What “Domain Experience” Looks Like in Output

When you parse a JD or resume:

• Fields like SubCategory, Category, Domain, and Industry are populated.

• The taxonomy-enriched output provides alternate names, skill aliases, and job role classifications that reflect the domain.

• You can use filters like reqcategory, reqtaxonomy, and sortskillbyontology in API settings to further tailor the output for domain-specific use.

• For more details, refer to the JD Parser API Dynamic Settings Documentation.

Use Cases Enabled by Domain Experience Extraction

• Smart JD-to-resume matching based on domain context.

• Bias-free shortlisting by categorizing candidates into relevant job domains.

• Advanced analytics like tracking demand trends by domain.

• Ontology-driven job board enhancements for better recommendations.

Resources

• RChilli Job Parser

• Search & Match API Overview

• Taxonomy API Documentation

If you want to enable or configure domain-based filtering or mapping in your API implementation, I recommend reviewing your current API settings or contacting support@rchilli.com for customized support.