A Description Logic Based Knowledge Representation Model for Concept Understanding

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Abstract

This research employs Description Logics in order to focus on logical description and analysis of the phenomenon of ‘concept understanding’. The article will deal with a formal-semantic model for figuring out the underlying logical assumptions of ‘concept understanding’ in knowledge representation systems. In other words, it attempts to describe a theoretical model for concept understanding and to reflect the phenomenon of ‘concept understanding’ in terminological knowledge representation systems. Finally, it will design an ontology that schemes the structure of concept understanding based on the proposed semantic model.
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Detaljer

This research employs Description Logics in order to focus on logical description and analysis of the phenomenon of ‘concept understanding’. The article will deal with a formal-semantic model for figuring out the underlying logical assumptions of ‘concept understanding’ in knowledge representation systems. In other words, it attempts to describe a theoretical model for concept understanding and to reflect the phenomenon of ‘concept understanding’ in terminological knowledge representation systems. Finally, it will design an ontology that schemes the structure of concept understanding based on the proposed semantic model.
OriginalsprogEngelsk
TitelAgents and Artificial Intelligence : 9th International Conference, ICAART 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers
Volume/Bind10839
ForlagSpringer International Publishing
Publikationsdatojun. 2018
ISBN (Trykt)978-3-319-93580-5
ISBN (Elektronisk)978-3-319-93581-2
DOI
StatusUdgivet - jun. 2018
PublikationsartForskning
Peer reviewJa
NavnLecture Notes in Computer Science (Lecture Notes in Artificial Intelligence subseries)
Volume/Bind10839
ISSN0302-9743
ID: 262006698