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A Performance Context Ontology Centered Integrated Ontology for Effective Expert Search

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(6), pp.81~90
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 12, 2026
  • Accepted : June 9, 2026
  • Published : June 30, 2026

In-Ha Jun 1 Hyeon-Jeong Mun 2 Young-Ji Kim 2 Su-Hyun Lee 1 Yong-Tae Woo 1

1국립창원대학교
2하이브레인넷

Accredited

ABSTRACT

In this study, we propose a Performance Context Ontology (PCO) that expresses expert competency information embedded in recruitment or academic domains in the same performance context structure and enables effective competency matching even between cross domains. First, we design an ontology schema by deriving a conceptual framework of performance contexts that can be commonly applied across cross domains using LLM. Then, ontology instances are constructed by extracting performance context concepts from unstructured data collected from each domain. To verify the effectiveness of the proposed ontology, an integrated ontology for recruitment and academic information was constructed to confirm whether competency-based matching is appropriately performed even in cross domains. In the future, we expect the proposed ontology to serve as a foundational technology for developing an expert search system to effectively identify key experts required by institutions.

Citation status

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