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The typed graph model

  • In recent years, the Graph Model has become increasingly popular, especially in the application domain of social networks. The model has been semantically augmented with properties and labels attached to the graph elements. It is difficult to ensure data quality for the properties and the data structure because the model does not need a schema. In this paper, we propose a schema bound Typed Graph Model with properties and labels. These enhancements improve not only data quality but also the quality of graph analysis. The power of this model is provided by using hyper-nodes and hyper edges, which allows to present a data structure on different abstraction levels. We demonstrate by example the superiority of this model over the property graph data model of Hidders and other prevalent data models, namely the relational, object-oriented, and XML model.

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Metadaten
Name:Laux, Friedrich
Editor of HS Reutlingen:Laux, Friedrich
URN:urn:nbn:de:bsz:rt2-opus4-27861
URL:https://www.iaria.org/conferences2020/DBKDA20.html
ISBN:978-1-61208-790-0
Publisher:IARIA
Document Type:Conference Proceeding
Language:English
Year of Publication:2020
Tag:semantic enhancement; typed hyper-graph model
Pagenumber:7
First Page:13
Last Page:19
Dewey Decimal Classification:004 Informatik
Open Access:Ja
Licence (German):License Logo  Creative Commons - CC BY - Namensnennung 4.0 International