loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Author: Hans-Ulrich Krieger

Affiliation: German Reasearch Center for Artificial Intelligence (DFKI), Germany

ISBN: 978-989-758-172-4

Keyword(s): Knowledge Representation and Reasoning, Uncertainty in AI, Description Logics & OWL, Ontologies, Graded Natural Language Statements, Representation of Controlled Natural Language.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Ontologies ; Formal Methods ; Knowledge Engineering and Ontology Development ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies ; Pattern Recognition ; Simulation and Modeling ; Symbolic Systems ; Uncertainty in AI

Abstract: 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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.81.29.226

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Krieger, H. (2016). Capturing Graded Knowledge and Uncertainty in a Modalized Fragment of OWL.In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-172-4, pages 19-30. DOI: 10.5220/0005628100190030

@conference{icaart16,
author={Hans{-}Ulrich Krieger.},
title={Capturing Graded Knowledge and Uncertainty in a Modalized Fragment of OWL},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2016},
pages={19-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005628100190030},
isbn={978-989-758-172-4},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Capturing Graded Knowledge and Uncertainty in a Modalized Fragment of OWL
SN - 978-989-758-172-4
AU - Krieger, H.
PY - 2016
SP - 19
EP - 30
DO - 10.5220/0005628100190030

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.