Towards Community-Based Evolution of Knowledge-Intensive Systems

Abstract. 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 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 firstclass 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. int...

• Type: Conference
• Year: 2007
• Where: OTM
• Authors: Pieter De Leenheer, Robert Meersman
• Keywords: DOGMA Ontology Framework, Internet Technology, Ontology, Ontology Evolution, OTM 2007