  Semantic web information is at the extremities of long pipelines held by
human beings. They are at the origin of information and they will consume it
either explicitly because the information will be delivered to them in a
readable way, or implicitly because the computer processes consuming this
information will affect them. Computers are particularly capable of dealing
with information the way it is provided to them. However, people may assign to
the information they provide a narrower meaning than semantic technologies may
consider. This is typically what happens when people do not think their
assertions as ambiguous. Model theory, used to provide semantics to the
information on the semantic web, is particularly apt at preserving ambiguity
and delivering it to the other side of the pipeline. Indeed, it preserves as
much interpretations as possible. This quality for reasoning efficiency,
becomes a deficiency for accurate communication and meaning preservation.
Overcoming it may require either interactive feedback or preservation of the
source context. Work from social science and humanities may help solving this
particular problem.
