GC: n
CT: Knowledge engineering is a field within artificial intelligence that develops knowledge-based systems. Such systems are computer programs that contain large amounts of knowledge, rules and reasoning mechanisms to provide solutions to real-world problems.
A major form of knowledge-based system is an expert system, one designed to emulate the reasoning processes of an expert practitioner (i.e. one having performed in a professional role for very many years). Typical examples of expert systems include diagnosis of bacterial infections, advice on mineral exploration and assessment of electronic circuit designs.
S: Epistemics – http://www.epistemics.co.uk/Notes/61-0-0.htm (last access: 22 December 2014)
N: 1. knowledge (n): early 12c., cnawlece «acknowledgment of a superior, honor, worship;» for first element see know. Second element obscure, perhaps from Scandinavian and cognate with the -lock «action, process,» found in wedlock. Meaning «capacity for knowing, understanding; familiarity; fact of knowing» is late 14c.
engineering (n): 1720, «work done by an engineer,» from engineer (n.). As a field of study, attested from 1792. An earlier word was engineership (1640s); engineery was attempted in 1793, but it did not stick.
2. The discipline concerned with acquiring knowledge from domain experts and other knowledge sources and incorporating it into a knowledge base.
3. knowledge engineering: term standardized by ISO/IEC and CSA.
S: 1. Etymonline – http://www.etymonline.com/index.php?allowed_in_frame=0&search=knowledge&searchmode=none; http://www.etymonline.com/index.php?allowed_in_frame=0&search=engineering&searchmode=none (last access: 22 December 2014). 2 & 3. TERMIUM PLUS (last access: 22 December 2014).
SYN: cognitive engineering
S: GDT (last access: 22 December 2014)