NDLI: ImG-complex: graph data model for topology of unstructured meshes

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ImG-complex: graph data model for topology of unstructured meshes

Content Provider	ACM Digital Library
Author	Rezaei Mahdiraji, Alireza Berti, Guntram Baumann, Peter
Abstract	Although, many applications use unstructured meshes, there is no specialized mesh database which supports storing and querying mesh data. Existing mesh libraries do not support declarative querying and are expensive to maintain. A mesh database can benefit the domains in several ways such as: declarative query language, ease of maintenance, etc. In this paper, we propose the Incidence multi-Graph Complex (ImG-Complex) data model for storing topological aspects of meshes in a database. ImG-Complex extends incidence graph (IG) model with multi-incidence information to represent a new object class which we call ImG-Complexes. We introduce optional and application-specific constraints to limit the ImG model to smaller object classes and validate mesh structures based on the modeled object class properties. We show how Neo4j graph database can be used to query mesh topology based on the (possibly constrained) ImG model. Finally, we experiment Neo4j and PostgreSQL performance on executing topological mesh queries.
Starting Page	1619
Ending Page	1624
Page Count	6
File Format	PDF
ISBN	9781450322638
DOI	10.1145/2505515.2505733
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Data model Multi-incidence Unstructured mesh Cw-complex Databases Graph database Topology
Content Type	Text
Resource Type	Article

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