loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Stefan Jakob ; Alexander Jahl ; Harun Baraki and Kurt Geihs

Affiliation: Distributed Systems Department, University of Kassel, Wilhelmshöher Allee 71-73, Kassel, Germany

Keyword(s): Knowledge Representation and Reasoning, Knowledge-based Systems, Ontologies.

Abstract: The use of commonsense knowledge is essential for the interaction of humans and robots in a smart environment. This need arises from the way humans naturally communicate with each other, in which most details are usually omitted due to common background knowledge. To enable such communication with a robot, it has to be equipped with a commonsense knowledge representation that supports reasoning. Ontologies could be a suitable approach. However, current ontology frameworks lack dynamic adaptability, are monotonous, are missing negation as failure, and are not designed for huge amounts of data. This paper presents a new way to model ontologies based on a non-monotonic reasoning formalism. Our ontology modelling framework, called ARRANGE, allows for the automatic integration of graph-based knowledge sources to generate ontologies and provides corresponding tools. The presented experiments show the applicability of the generated ontologies and the performance of the ontology generation, the ontology reasoning, and the query resolution. (More)

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 34.201.8.144

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:
Jakob, S.; Jahl, A.; Baraki, H. and Geihs, K. (2021). Generating Commonsense Ontologies with Answer Set Programming. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 538-545. DOI: 10.5220/0010191905380545

@conference{icaart21,
author={Stefan Jakob. and Alexander Jahl. and Harun Baraki. and Kurt Geihs.},
title={Generating Commonsense Ontologies with Answer Set Programming},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={538-545},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010191905380545},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Generating Commonsense Ontologies with Answer Set Programming
SN - 978-989-758-484-8
IS - 2184-433X
AU - Jakob, S.
AU - Jahl, A.
AU - Baraki, H.
AU - Geihs, K.
PY - 2021
SP - 538
EP - 545
DO - 10.5220/0010191905380545
PB - SciTePress