Posts Tagged ‘competency-centric’

Business Use Case: Ontologising Competencies in an Interorganisational Setting

January 16, 2008

In this book chapter, we summarise findings from Codrive, a large-scale ontology project in the vocational training domain. This specific competency area is complex, and in order to achieve proper interoperability, all involved stakeholders must participate in interorganisational ontology engineering. In particular, this chapter illustrates the DOGMA-MESS methodology, a community-driven approach to ontology management. It presents practical experiences for the issues addressed in the previous chapters, complementingthem with illustrative data and hands-on knowledge.

Christiaens, S., De Leenheer, P., de Moor, A., Meersman, R. (2008) Business Use Case: Ontologising Competencies in an Interorganisational Setting. In Ontology Management: Semantic Web, Semantic Web Services, and Business Applications, from Semantic Web and Beyond: Computing for Human Experience, eds. Hepp, M.; De Leenheer, P.; de Moor, A.; Sure, Y., Springer


Community-driven Evolution of Knowledge-intensive Systems

November 26, 2007

De Leenheer, P. and Meersman, R. (2007) Towards Community-driven Evolution of Knowledge-intensive Systems. In Proc. of the 6th Int’l Conf. on Ontologies, DataBases, and Applications of Semantics (ODBASE 2007) (Vilamoura, Portugal), LNCS, Springer

Co-evolution in a knowledge-intensive community

Co-evolution in a knowledge-intensive community

This article wants to address the need for a research effort and framework that studies and embraces the novel, difficult but crucial issues of adaptation of knowledge resources to their respective user communities, and \emph{vice versa}, as a fundamental property within knowledge-intensive internet systems. Through a deep understanding of real-time community-driven evolution of so-called ontologies, a knowledge-intensive system can be made operationally relevant and sustainable over longer periods of time. To bootstrap our framework, we adopt and extend the DOGMA ontology framework, and its community-grounded ontology engineering methodology DOGMA-MESS, with an ontology that models community concepts such as business rules, norms, policies, and goals as first-class citizens of the ontology evolution process. Doing so ontology evolution can be tailored to the needs of a particular community. Finally, we illustrate with an example from an actual real-world problem setting, viz. interorganisational exchange of HR-related knowledge.