Title
Modeling a persistent graph
Date Issued
13 December 2018
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The use of persistent graph as a database repository and its incorporation in critical mission projects requires a new thinking to model the data on those graphs to follow a business logic. In this article, we present a novel approach to model a persistent graph. Our methodology for modeling is based on the ER (Entity Relationship Model). In which we introduce a set of elements to modeling a graph, such as a cardinality on the edges, type of edges, inbound/outbound edges, edges' attributes and vertex class. Our methodology for modeling serves as a specification to which the graph design must conform. Our methodology allows the designer to express models at various levels of abstraction of a graph and ensure the correctness of the logical model with respect to the conceptual model. Our Methodology enables the designer to reason about the correctness of the business logic implemented in a graph.
Start page
15
End page
22
Language
English
OCDE Knowledge area
Ciencias de la computación
Ciencias de la información
Subjects
Scopus EID
2-s2.0-85060725788
Resource of which it is part
Proceedings of a Special Session - 16th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2017
ISBN of the container
9781538671993
Conference
Proceedings of a Special Session - 16th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2017
Sources of information:
Directorio de Producción Científica
Scopus