Title:	Reevaluation in Rule-Based Graph Transformation Modeling Systems Reevaluation in Rule-Based Graph Transformation Modeling Systems
Authors:	Gaide, Maxime Marcheix, David Arnould, Agnés Skapin, Xavier Belhaouari, Hakim Jean, Stéphane
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 117-128.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57384
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	modelování založené na topologii;pravidla pro transformaci grafů;persistentní pojmenování;reevaluace;generalizované mapy
Keywords in different language:	topology-based modeling;graph transformation rules;persistent naming;reevaluation;generalized maps
Abstract in different language:	In this paper, we widen the naming problem studies to the rule-based graph 3D transformation modeling systems. We propose a persistent naming method taking advantage of the generalized maps’ and graph transformation rules’ formalization of simple operations. It enables a unique and homogeneous characterisation of entities in all dimen sions. Most existing methods require tracking numerous topological entities and consider the persistent naming problem only from the parameters’ modifications of a parametric specification standpoint. With our solution, not only the naming problem is tackled within the usual framework of parameters edition, but we also take the specifi cation edition into account (addition, deletion and displacement of operations). Moreover, our solution makes use of directed acyclic graphs to represent the histories of topological entities and to track only the entities used in the parametric specification and the ones they originate from.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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