Semantic Annotation for Process Models: - Department of Computer ...

28 CHAPTER 2. PROBLEM SETTING
• It is a medium for pragmatically efficient computation, i.e., the computational
environment in which thinking is accomplished.
• It is a medium of human expression, i.e., a language in which we say things about
the world.
The conclusions of the research in [22] are drawn all five roles matter; representation
and reasoning are interwinded; different representations are often combined; they have
formal equivalence. Various artificial languages and notations have been proposed for
representing knowledge, such as CycL [20], IKL [50], KIF [29], Loom [97], OWL [195]
and KM [71]. They are typically based on logic and mathematics, and have easily
parsable grammars to ease machine processing.
2.6.3 Knowledge management activities associated with process models
Knowledge Management (KM) is an approach to discovering, capturing, and reusing
both tacit (in people’s heads) and explicit (digital or paper based) knowledge as well as
the cultural and technological means of enabling the knowledge management process to
be successful. Usually, the knowledge management covers both instance level and type
level knowledge — learning from instances and abstracting them to reusable knowledge.
In a KM system, knowledge processes essentially revolve around the following steps
[174]:
Figure 2.6: Knowlege Process [174]