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DHHTGraphs - Modeling beyond plain graphs
Graphs are known as a suitable representation of structured data in general and of models in particular. Most common graph databases and storage facilities are based on a relatively simple kind of graphs restricted to binary and often even untyped or non-attributed edges. However, for domain-specifi...
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Main Authors: | , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Graphs are known as a suitable representation of structured data in general and of models in particular. Most common graph databases and storage facilities are based on a relatively simple kind of graphs restricted to binary and often even untyped or non-attributed edges. However, for domain-specific modeling there is also a need for some natural advanced concepts such as n-ary edges, several kinds of hierarchy and distribution of a graph over several sites. While common graph approaches require to simulate those concepts by plain graphs, this paper introduces an enhanced approach offering a seamless integration of these concepts, called Distributed Hierarchical Hyper-TGraphs (DHHTGraphs). Based on a formal definition, DHHTGraphs are described in detail including a metamodeling language and an efficient implementation. |
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DOI: | 10.1109/ICDEW.2011.5767620 |