Knowledge and meaning are complex concepts that are impacted by information systems. As knowledge is codified into information and formalized for computer systems, some meanings may be lost. Three key issues are: (1) meanings are restricted by what can be expressed in language and formalized for machines, (2) formalization requirements of semantics limit the scope of represented meanings, and (3) predefined concepts, definitions and ontologies impose standardized meanings rather than supporting individual interpretations. Representing complex domains like cultural landscapes in information systems thus risks oversimplifying the knowledge and reducing the diversity of meanings.