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Modelling of Graph Databases

Jaroslav Pokorny
2017 Journal of Advanced Engineering and Computation  
We propose a sufficient conceptual model based on a binary variant of the ER model and show its relationship to a graph database model, i.e. a mapping conceptual schemas to database schemas.  ...  In the paper, we discuss these issues and present current possibilities and challenges in graph database modelling.  ...  Graph database modelling In a native graph database model, both the schema and its instances are modelled as graphs. Nodes and edges are rst-class citizens.  ... 
doi:10.25073/jaec.201711.44 fatcat:xpwbge52wngojlusmzvnnfhqie

Survey of graph database models

Renzo Angles, Claudio Gutierrez
2008 ACM Computing Surveys  
Graph database models can be defined as those in which data structures for the schema and instances are modeled as graphs or generalizations of them, and data manipulation is expressed by graph-oriented  ...  The main objective of this survey is to present the work that has been conducted in the area of graph database modeling, concentrating on data structures, query languages, and integrity constraints.  ...  GRAPH DATABASE MODELS This section presents the work that has been done in the database community on graph db-models.  ... 
doi:10.1145/1322432.1322433 fatcat:ecwpgcnb3jecjpizlzmm2ae2xu

An Efficient Graph Database Model

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
When compared to the relational data model, graph data model is more vivid, strong and data expressed in it models relationships among data properly.  ...  Recently graph databases are seen as an good replacement for relational database.  ...  The most popular variants of graphs models today are the property graph, the resource description framework (RDF) and the hypergraph. The data is naturally saved in graphs in graph databases.  ... 
doi:10.35940/ijitee.i7805.0881019 fatcat:ad2pskekrndnpkghhnbdbaxwzy

GRAD: On Graph Database Modeling [article]

Amine Ghrab, Oscar Romero, Sabri Skhiri, Alejandro Vaisman, Esteban Zimányi
2016 arXiv   pre-print
GRAD goes beyond traditional graph database models, which support simple graph structures and constraints.  ...  However, current graph databases support basic graph structures and integrity constraints with no standard algebra. In this paper, we introduce GRAD, a native and generic graph database model.  ...  In this paper we address the need for a native and complete (according to Codd (1980) ), graph database model, introducing GRAD (GRAph Database model).  ... 
arXiv:1602.00503v1 fatcat:4nbhdm7ixfh2vlqxnl53rnuj6e

Designing Graph Database Models from Existing Relational Databases

Subhrajyoti Bordoloi, Bichitra Kalita
2013 International Journal of Computer Applications  
This star graph model is transformed into a hyper graph model for the relational database, which, in turn, can be used to develop the domain relationship model that can be converted in to a graph database  ...  In this paper, a method for transforming a relational database to a graph database model is described.  ...  To convert the database to a graph (hyper graph) model, the mathematical model of the database is required.  ... 
doi:10.5120/12850-9303 fatcat:m62fer3f3fgmbgurpt6uwnwgha

Usage of graph databases for social graph modeling

2019 Bulletin of V.N. Karazin Kharkiv National University, series «Mathematical modeling. Information technology. Automated control systems»  
The problems that may occur during the social network development have been selected to be solved using a graph data model.  ...  For this purpose, a graph that has 5000 nodes and 24900 connections has been built by implementing the Barabashi-Albert model for generating random-scale networks.  ...  The problems that may occur during the social network development have been selected to be solved using a graph data model.  ... 
doi:10.26565/2304-6201-2019-43-06 fatcat:t5oh4lat6bf2totjk4nbmqg44u

Model-Driven Design of Graph Databases [chapter]

Roberto De Virgilio, Antonio Maccioni, Riccardo Torlone
2014 Lecture Notes in Computer Science  
In this paper, we propose a model-driven, system-independent methodology for the design of graph databases.  ...  Our methodology relies a logical model for graph databases, which makes the approach suitable for different GDBMSs.  ...  Modeling Graph Databases Graph Databases The spread of application domains involving graph-shaped data has arisen the interest on graph databases and GDBMSs.  ... 
doi:10.1007/978-3-319-12206-9_14 fatcat:ojcgbgnqebhiphbcv5wqgvd7pe

A Comparison of Current Graph Database Models

Renzo Angles
2012 2012 IEEE 28th International Conference on Data Engineering Workshops  
In this paper we present a systematic comparison of current graph database models.  ...  The limitations of traditional databases, in particular the relational model, to cover the requirements of current applications has lead the development of new database technologies.  ...  This renascence is showed by the availability of several graph databases systems. One of the most important elements conforming a database is its database model (or simply data model).  ... 
doi:10.1109/icdew.2012.31 dblp:conf/icde/Angles12 fatcat:qnq5x6mjdzdezltn537vakgt2u

Modeling Corruption in Eventually-Consistent Graph Databases [article]

Jim Webber, Paul Ezhilchelvan, Isi Mitrani
2019 arXiv   pre-print
The model is high-fidelity and preserves design choices from contemporary graph database management systems.  ...  We present a model and analysis of an eventually consistent graph database where loosely cooperating servers accept concurrent updates to a partitioned, distributed graph.  ...  More recently modeling data as a graph has become fashionable and graph databases have become an popular technology choice [2] .  ... 
arXiv:1904.04702v1 fatcat:yvvwje65gnf6ng6khejobanfd4

Exploring graph databases for biological data models in InterMine [article]

Daniela Butano, Inter Mine
2017 Figshare  
database: entities • Data modeled into graphs • Nodes represent entities, edges represents the relationships between the entities • Node can have labels used to categorize / classify / type • Nodes can  ...  have properties symbol="zen" primaryIdentifier="FBgn0005043" secondaryIdentifier="CG1046" primaryIdentifier="3R" length=32079331 Gene Chromosome Graph database: relationships • Relationships have a  ...  data modelModel depends on both data and queries • How we can model biological data into a graph?  ... 
doi:10.6084/m9.figshare.5208958.v1 fatcat:w7csglp3xne6fkwaynodjld2am

Combining computational models, semantic annotations and simulation experiments in a graph database

Ron Henkel, Olaf Wolkenhauer, Dagmar Waltemath
2015 Database: The Journal of Biological Databases and Curation  
Combining computational models, semantic annotations, and simulation experiments in a graph database.  ...  It grounds on a graph database, reflects the models' structure, incorporates semantic annotations and simulation descriptions and ultimately connects different types of model-related data.  ...  In this manuscript, we propose the concept of graph databases for model storage and retrieval. Graph databases support heterogeneous data structures.  ... 
doi:10.1093/database/bau130 pmid:25754863 pmcid:PMC4352687 fatcat:mkeroo4ot5fhrhxoxokbydyauq

Explicit graphs in a functional model for spatial databases

M. Erwig, R.H. Guting
1994 IEEE Transactions on Knowledge and Data Engineering  
point of view, it is a model for spatial databases .  ...  Observing that networks are ubiquitous in applications for spatial databases, we define a new data model and query language that especially supports graph structures.  ...  A database is modeled by an object type hierarchy together with a collection of graph definitions.  ... 
doi:10.1109/69.317707 fatcat:jkcbi7ygwfeffdvqjlogfqateq

Learning Probabilistic Relational Models with (Partially Structured) Graph Databases

Marwa El Abri, Philippe Leray, Nadia Essoussi
2017 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)  
First, we present how to extract the underlying ER model from a partially structured graph database. Then, we describe a method to compute sufficient statistics based on graph traversal techniques.  ...  This paper builds on the recent work on DAPER models, and describes how to learn them from partially structured graph databases. Our contribution is twofold.  ...  they are modelled explicitly in a graph database.  ... 
doi:10.1109/aiccsa.2017.39 dblp:conf/aiccsa/AbriLE17 fatcat:txjkjgfedfh6rdh43a7elx7kh4

Information Integration for Graph Databases [chapter]

Ee-Peng Lim, Aixin Sun, Anwitaman Datta, Kuiyu Chang
2010 Link Mining: Models, Algorithms, and Applications  
With increasing interest in querying and analyzing graph data from multiple sources, algorithms and tools to integrate different graphs become very important.  ...  Integration of graphs can take place at the schema and instance levels.  ...  With the popularity of e-commerce, such graph models have also been applied to modeling XML data so as to formulate and evaluate queries on XML databases.  ... 
doi:10.1007/978-1-4419-6515-8_10 fatcat:n4yeanl5zvc2jimdmhfzzswrwa

Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks

Cihan Küçükkeçeci, Adnan Yazıcı
2018 Big Data Research  
In this study, we propose a big database model based on graph database model for handling data generated by wireless multimedia sensor networks.  ...  We introduce a simulator to generate synthetic data and store and query big data using graph model as a big database.  ...  We thank to the researchers of CEng Multimedia Database Lab. for their very valuable comments.  ... 
doi:10.1016/j.bdr.2017.09.003 fatcat:nngd65totfggxdohrmb2h7nbcq
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