Adaptive modeling of workforce domain knowledge

Jian Qin, Peter Creticos, Wen Yuan Hsiao

Research output: Chapter in Book/Entry/PoemConference contribution


Workforce development is a multidisciplinary domain in which policy, laws and regulations, social services, training and education, and information technology and systems are heavily involved. It is essential to have a semantic base accepted by the workforce development community for knowledge sharing and exchange. This paper describes how such a semantic base-the Workforce Open Knowledge Exchange (WOKE) Ontology-was built by using the adaptive modeling approach. The focus of this paper is to address questions such as how ontology designers should extract and model concepts obtained from different sources and what methodologies are useful along the steps of ontology development. The paper proposes a methodology framework "adaptive modeling" and explains the methodology through examples and some lessons learned from the process of developing the WOKE ontology.

Original languageEnglish (US)
Title of host publicationKnowledge Organization for a Global Learning Society - Proceedings of the 9th International ISKO Conference
PublisherInternational Society for Knowledge Organization
Number of pages7
ISBN (Print)3899135237, 9783899135237
StatePublished - 2006
Event9th International Conference on International Society for Knowledge Organization, ISKO 2006 - Vienna, Austria
Duration: Jul 4 2006Jul 7 2006

Publication series

NameAdvances in Knowledge Organization
ISSN (Print)0938-5495


Other9th International Conference on International Society for Knowledge Organization, ISKO 2006

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management


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