The document discusses using ontologies to support decision making and knowledge management. It proposes two ontology-based approaches: 1) Ontology Network Analysis (ONA) which uses relationships in populated ontologies to automatically select important resources for inclusion in an organizational memory or to identify communities of practice. 2) Applying experience factories and bases from software engineering to critique and validate design decisions using ontologies. This allows experience to be reused across similar ontology development projects.

1. Yannis Kalfoglou Advanced Knowledge Technologies (AKT) School of Electronics and Computer Science University of Southampton UK Ontology-based decision support Using ontologies to support and critique decisions

5. Knowledge engineering in design – cnt’d

8. ONA

11. EF

14. Questions

20. CoP vs. other formal structures Accumulate & circulate best practice Homogeneous Increase skills CoP Construction & circulation of codes Heterogeneous Produce knowledge Epistemic community Knowledge exchange Heterogeneous Mutually negotiated specialisation Network Integration of functional knowledge Heterogeneous Realise a task Team/project team Disciplinary specialisation Homogeneous Ensure a function Functional group Cognitive activity Agents Objective

21. CoP vs. other formal structures Common passion Learning in working Self-selecting CoP Procedural authority Intended searching Peers Epistemic community Need for complementary knowledge Learning by exchange Mutual trust Network Job & goals Unintended – learning by interacting Team leader Team/project team Education & firm hierarchy Unintended - learning by doing Hierarchical Functional group Community glue Knowledge production Recruitment

22. ONTOCOPI