A discipline which refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems ( http://en.wikipedia.org/wiki/Knowledge_engineering Wikipedia)
Knowledge Engineering (KE) refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems. KE is a multidisciplinary field, bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and geographic information systems. From the software development point of view, KE uses principles that are strongly related to software engineering. KE is also related to logic (both in mathematics and philosophy domains) and also strongly related with cognitive and social sciences and socio-cognitive engineering, where knowledge is considered to be produced by humans and structured according to our understanding of how human reasoning and logic works. Currently, KE is mostly related with the construction of shared conceptual frameworks, often designated as ontologies (Source: KEOD).
A yearly conference on the topic is the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K).