We present a framework for semi‑automatically acquiring domain knowledge necessary for building light‑weight, application ontologies. The approach adopts active learning for semantic annotation of knowledge roles that have been derived from the CommonKADS methodology. We discuss the framework advantages by implementing a light‑ weight, application ontology for a knowledge management application in a technical domain.
Keywords: knowledge acquisition, CommonKADS, knowledge roles, lightweight ontologies, active learning, predictive maintenance
Volume 4 Issue 1 / Jan 2006 pp1‑90
Keywords: Active learning, Africa, Business intelligence, Case study, Cognitive diversity, CommonKADS], Communication, Complexity, Complexity representation , Complexity theory, Complexity thinking, Cross-functional teams, e-Commerce, Enterprise semantic web, First order reflection, Group dynamics, Human capital, Intellectual capital, Knowledge acquisition, Knowledge acquisition, Knowledge capital, Knowledge cooperation, Knowledge co-production, Knowledge creation, Knowledge flows, Knowledge learning, Knowledge sharing, Knowledge transfer, Knowledge transfer cycle, Lightweight ontologies, Organisational practices, Performance measurement, Predictive maintenance, Relational capital, Second order reflection, Semantic information retrieval, Semantic interoperability, Social networks, Social Software, Software development, Structural capital, Tourism, Value creation, Weblog, Wiki