Editorial: Evaluating knowledge engineering techniques

Conceptual knowledge acquisition in biomedicine: A methodological review

“…Similarly, Menzies and van Harmelen proposed a framework of six essential theories of contemporary KE. These methodologies all result in knowledge structures that incorporate one or more forms of knowledge representation, such as procedures, axioms, single general purpose inference engines (e.g., persistent, stored procedures) and ontologies [34]. Gaines and Shaw provided a more targeted review, describing KA tools and methods based on personal construct theory, which represents a theoretical framework used in the psychology literature to describe how individuals make sense of their surrounding environment via categorization processes [17].…”

Issues With Meta-Knowledge

“…• The United States DARPA High Performance Knowledge Based initiative (HPKB) studied how to write KBs faster [23]. In HPKB year one, the George Mason team generated the most new axioms added per day (787 binary predicates) using DISCIPLE: an incremental knowledge acquisition tool [32].…”

“…If it were true, then why can we find the spectacular optimizations of systems development using PSMs and ontologies seen above (recall the examples in the systems engineering sections)? Menzies objects to this counter-argument, arguing that without more precise metrics collection, it is hard to interpret these reported optimizations [20,23] (e.g. when Motta's colleagues reduced their design time from 4 months to 1 day, how much of that reduction was due to the PSM framework and how much to the constraint analyzer that they used?…”