Accentuating Features of Description Logics in High-Level Interpretations of Hand-Drawn Sketches

dc.contributor.author	Abdelghaffar, Nashwa M.
dc.contributor.author	Abdelfattah, Ahmed M. H.
dc.contributor.author	Taha, Azza A.
dc.contributor.author	Khamis, Soheir M.
dc.date.accessioned	2021-04-23T09:27:09Z
dc.date.available	2021-04-23T09:27:09Z
dc.date.issued	2019
dc.description.abstract	We propose an ontology-based approach to interpret hand-drawn sketches, originating from empirical results of experiments with human participants. The approach combines qualitative features of the sequence of sketch strokes with a high-level knowledge, and accentuates the potential effectiveness of interpretation via description logics. The results of an implementation, along with explanations, are presented to show how to extract the semantics of hand-drawn sketches of four object categories.	de
dc.identifier.doi	10.1007/s13218-019-00602-4
dc.identifier.pissn	1610-1987
dc.identifier.uri	http://dx.doi.org/10.1007/s13218-019-00602-4
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/36241
dc.publisher	Springer
dc.relation.ispartof	KI - Künstliche Intelligenz: Vol. 33, No. 3
dc.relation.ispartofseries	KI - Künstliche Intelligenz
dc.title	Accentuating Features of Description Logics in High-Level Interpretations of Hand-Drawn Sketches	de
dc.type	Text/Journal Article
gi.citation.endPage	265
gi.citation.startPage	253

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