Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness

Célia Pereira, Didier Dubois, Henri Prade, Andrea Tettamanzi

2022

Abstract

We investigate how metadata about the uncertainty of knowledge contained in a knowledge base can be expressed parsimoniously and used for reasoning. We propose an approach based on possibility theory, whereby a classical knowledge base plus metadata about the degree of validity and completeness of some of its portions are used to represent a possibilistic belief base. We show how reasoning on such belief base can be done using a classical reasoner.

Paper Citation

in Harvard Style

Pereira C., Dubois D., Prade H. and Tettamanzi A. (2022). Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-547-0, pages 441-449. DOI: 10.5220/0010874000003116

in Bibtex Style

@conference{icaart22,
author={Célia Pereira and Didier Dubois and Henri Prade and Andrea Tettamanzi},
title={Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2022},
pages={441-449},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010874000003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness
SN - 978-989-758-547-0
AU - Pereira C.
AU - Dubois D.
AU - Prade H.
AU - Tettamanzi A.
PY - 2022
SP - 441
EP - 449
DO - 10.5220/0010874000003116