Publikation
Capturing Graded Knowledge and Uncertainty in a Modalized Fragment of OWL
Hans-Ulrich Krieger
In: Proceedings of the 8th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2016), February 24-26, Rome, Italy, ICAART, INSTICC, 2016.
Zusammenfassung
Natural language statements uttered in diagnosis (e.g., in medicine),
but more general in daily life are usually graded, i.e., are
associated with a degree of uncertainty about the validity of an
assessment and is often expressed through specific verbs,
adverbs, or adjectives in natural language.
In this paper, we look into a representation of such graded
statements by presenting a simple non-standard modal logic which comes
with a set of modal operators, directly associated with the words
indicating the uncertainty and interpreted through confidence intervals in
the model theory.
We complement the model theory by a set of RDFS-/OWL 2 RL-like entailment
(if-then) rules, acting on the syntactic representation of modalized
statements.
Our interest in such a formalization is related to the use of OWL as the
de facto language in today's ontologies and its weakness to
represent and reason about assertional knowledge that is uncertain
or that changes over time.