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Mapping RDF Databases to Property Graph Databases

Renzo Angles, Harsh Thakkar, Dominik Tomaszuk
2020 IEEE Access  
This paper presents three direct mappings (schema-dependent and schema-independent) for transforming an RDF database into a property graph database, including data and schema.  ...  RDF triplestores and property graph databases are two approaches for data management which are based on modeling, storing and querying graph-like data.  ...  GRAPH SCHEMA A Property Graph Schema defines the structure of a PG database.  ... 
doi:10.1109/access.2020.2993117 fatcat:zki2g3ihxjh6vkjygligtwkbo4

GRAD: On Graph Database Modeling [article]

Amine Ghrab, Oscar Romero, Sabri Skhiri, Alejandro Vaisman, Esteban Zimányi
2016 arXiv   pre-print
Instead, GRAD presents a complete graph database model supporting advanced graph structures, a set of well-defined constraints over these structures and a powerful graph analysis-oriented algebra.  ...  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.  ...  The idea is to load the data into a graph repository without restricting it to any predefined schema.  ... 
arXiv:1602.00503v1 fatcat:4nbhdm7ixfh2vlqxnl53rnuj6e

Query Optimization Techniques in Graph Databases

Ali Ben Ammar
2016 International Journal of Database Management Systems  
Graph databases (GDB) have recently been arisen to overcome the limits of traditional databases for storing and managing data with graph-like structure.  ...  However, their reuse in graph databases should take care of the main characteristics of graph databases, such as dynamic structure, highly interconnected data, and ability to efficiently access data relationships  ...  CONCLUSION Graph databases represent an important requirement for applications that manage graph-like data.  ... 
doi:10.5121/ijdms.2016.8401 fatcat:vvxypct2ojhzhajir3kbrwr5gq

An overview of graph databases and their applications in the biomedical domain

Santiago Timón-Reina, Mariano Rincón, Rafael Martínez-Tomás
2021 Database: The Journal of Biological Databases and Curation  
Because of the interconnected nature of its data, the biomedical domain has been one of the early adopters of graph databases, enabling more natural representation models and better data integration workflows  ...  Over the past couple of decades, the explosion of densely interconnected data has stimulated the research, development and adoption of graph database technologies.  ...  Regarding data modeling, Labeled Property Graphs (LPG) and RDF are the most common graph models found in graph database systems (32) (33) (34) .  ... 
doi:10.1093/database/baab026 pmid:34003247 pmcid:PMC8130509 fatcat:xku5npedwzgs3ayzsuvz6iattq

Property Oriented Relational-To-Graph Database Conversion

Ognjen Orel, Slaven Zakošek, Mirta Baranovič
2016 Automatika  
Our approach leverages the property graph model which is mainly used by the graph databases, while maintaining the level of relational data clarity.  ...  Analysis of data stored in a graph enables the discovery of certain information that could be hard to see if the data were stored using some other model (e.g. relational).  ...  Her research interests include databases, information systems, data warehouses, data lakes, and semantic web.  ... 
doi:10.7305/automatika.2017.02.1581 fatcat:e5yd4wf67zas5jqrn5cqephc4u

Integration Strategy and Tool between Formal Ontology and Graph Database Technology

Stefano Ferilli
2021 Electronics  
Graph databases are a recent technology specifically focusing on element-driven data browsing rather than on batch processing.  ...  Ontologies, and especially formal ones, have traditionally been investigated as a means to formalize an application domain so as to carry out automated reasoning on it.  ...  Data Availability Statement: Not applicable Acknowledgments: The author would like to thank Domenico Redavid for the useful discussions on the methodology, and Davide Di Pierro for their contribution in  ... 
doi:10.3390/electronics10212616 fatcat:ip763wbzlzbrzksweglktphnfm

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries [article]

Maciej Besta, Emanuel Peter, Robert Gerstenberger, Marc Fischer, Michał Podstawski, Claude Barthels, Gustavo Alonso, Torsten Hoefler
2021 arXiv   pre-print
(e.g., RDF or Labeled Property Graph), data organization techniques (e.g., storing graph data in indexing structures or dividing data into records), and different aspects of data distribution and query  ...  Graph database systems such as Neo4j enable storing, processing, and analyzing such large, evolving, and rich datasets.  ...  ACKNOWLEDGEMENTS We thank Gabor Szarnyas for extensive feedback, and Hannes Voigt, Matteo Lissandrini, Daniel Ritter, Lukas Braun, Janez Ales, Nikolay Yakovets, and Khuzaima Daudjee for insightful remarks  ... 
arXiv:1910.09017v5 fatcat:ta4pzurv3ndyngzjfpl7vhvcui

Combining Heterogeneous Classifiers for Relational Databases [article]

Geetha Manjunatha, M Narasimha Murty, Dinkar Sitaram
2012 arXiv   pre-print
Most enterprise data is distributed in multiple relational databases with expert-designed schema.  ...  In this paper, we present a practical, two-phase hierarchical meta-classification algorithm for relational databases with a semantic divide and conquer approach.  ...  They describe three representations of structured data that can be used: (a) datalog style with data described using individuals, properties and structural predicates, (b) typical relational representation  ... 
arXiv:1201.2925v2 fatcat:nyik7s7535cknccovzdiorxuwa

NoSQL Databases: Yearning for Disambiguation [article]

Chaimae Asaad, Karim Baïna, Mounir Ghogho
2020 arXiv   pre-print
In this paper, we present a survey of NoSQL databases and their classification by data model type.  ...  The demanding requirements of the new Big Data intensive era raised the need for flexible storage systems capable of handling huge volumes of unstructured data and of tackling the challenges that traditional  ...  Because they are schema-free, graph databases have many advantages amongst which we can cite their natural modeling of data, special graph storage structure, efficient graph algorithms and support for  ... 
arXiv:2003.04074v2 fatcat:5iwy4vxx55a6zpzuhxxf3r4fgm

Holistic evaluation in multi-model databases benchmarking

Chao Zhang, Jiaheng Lu
2019 Distributed and parallel databases  
A multi-model database (MMDB) is designed to support multiple data models against a single, integrated back-end. Examples of data models include document, graph, relational, and key-value.  ...  UniBench consists of a set of mixed data models that mimics a social commerce application, which covers data models including JSON, XML, key-value, tabular, and graph.  ...  as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.  ... 
doi:10.1007/s10619-019-07279-6 fatcat:abvnwc6m2ne27ppdjqcwociwim

Database Foundations for Scalable RDF Processing [chapter]

Katja Hose, Ralf Schenkel, Martin Theobald, Gerhard Weikum
2011 Lecture Notes in Computer Science  
The first part of the lecture will introduce state-of-the-art techniques for scalably storing and querying RDF with relational systems, including alternatives for storing RDF, efficient index structures  ...  and for RDF data in particular.  ...  In order to achieve this, a number of indexes are created: a keyword index (indexing terms extracted from the labels of data graph elements), a structure index (information about schema graphs, i.e., relations  ... 
doi:10.1007/978-3-642-23032-5_4 fatcat:5owq3argizaj3epzu4yhuuxc6i

Microblogging Queries on Graph Databases

Oshini Goonetilleke, Saket Sathe, Timos Sellis, Xiuzhen Zhang
2015 Proceedings of the GRADES'15 on - GRADES'15  
Microblogging data is growing at a rapid pace. This poses new challenges to the data management systems, such as graph databases, that are typically suitable for analyzing such data.  ...  In this paper, we share our experience on executing a wide variety of micro-blogging queries on two popular graph databases: Neo4j and Sparksee.  ...  Graph Databases In addition to the follower network, for accurate data representation of Twitter data we need the graph systems to support two additional features: (1) labeling a node or edge, and (2)  ... 
doi:10.1145/2764947.2764952 dblp:conf/sigmod/GoonetillekeSSZ14 fatcat:6gstnfxw2vc7tper5amb3aflpm

Extracting Databases from Dark Data with DeepDive

Ce Zhang, Jaeho Shin, Christopher Ré, Michael Cafarella, Feng Niu
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools  ...  The data unlocked by DeepDive represents a massive opportunity for industry, government, and scientific researchers.  ...  INTRODUCTION DeepDive is a system for extracting structured data from unstructured dark data.  ... 
doi:10.1145/2882903.2904442 pmid:28316365 pmcid:PMC5350112 dblp:conf/sigmod/Zhang0RCN16 fatcat:kivcsb2bovgg3hkvpwco47hvba

On enhancing scalability for distributed RDF/S stores

George Tsatsanifos, Dimitris Sacharidis, Timos Sellis
2011 Proceedings of the 14th International Conference on Extending Database Technology - EDBT/ICDT '11  
This work presents MIDAS-RDF, a distributed P2P RDF/S repository that is built on top of a distributed multi-dimensional index structure.  ...  More importantly, MIDAS-RDF utilizes a labeling scheme to handle expensive transitive closure computations efficiently.  ...  RDFPeers [15] is one of the first efforts for structured peer-to-peer RDF stores.  ... 
doi:10.1145/1951365.1951384 dblp:conf/edbt/TsatsanifosSS11 fatcat:nuhgdo54pbgxrnllxlsd4mxiuu

Networking for Historical Justice: The Application of Graph Database Management Systems to Network Analysis Projects and the Case Study of the Reparation Movement for Japanese Colonial and Wartime Atrocities

Keyao Pan
2022 Journal of Open Humanities Data  
Using the reparation movement for Japanese colonial and wartime atrocities as a case study, this paper explores the applicability of graph database management systems to network analysis research and teaching  ...  By inputting the data about lawsuits and lawyers in the movement into graph database applications like Neo4j and GraphXR, the paper demonstrates the advantages of managing network data in graph database  ...  In a property graph, edges (or relationships) in the database can have not only directions, but also properties and labels.  ... 
doi:10.5334/johd.76 doaj:a34ee3a9036249baac9e208a29ef98be fatcat:4j3v5dutangpzafhf4423acjb4
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