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Categorization of RDF Data Management Systems

Khadija Alaoui, Mohamed Bahaj
2021 Advances in Science, Technology and Engineering Systems  
, for the storage of RDF data and its querying using the RDF query language SPARQL.  ...  The categorization is established according to the motivations behind the adoption of one or the other triplestore for handling the main tasks of data storage and SPARQL querying.  ...  Figure 5 illustrates the considered "native/non-native" categorization.  ... 
doi:10.25046/aj060225 fatcat:sbltbipjrbexnoysynmkib4jsa

A Schematic Analysis on Selective-RDF Database Stores

Sharmi Sankar, Awny Sayed, Jihad Alkhalaf Bani-Younis
2014 International Journal of Computer Applications  
In the evaluation the use of a non-memory and a non-native store Sesame, a native store Allegro graph and Jena API a main-memory based RDF storage system, specifically designed to support fast semantic  ...  This paper provides a comparative analysis made on selective RDF databases storages. It provides a precise study on the various means of having a persistent storage and access of RDF graphs.  ...  This approach is restricted for storage and can only store a few RDF data [12] .  Native storage: It saves RDF data permanently on the file system [13] .  Non-Native and Non-Memory storage: Relational  ... 
doi:10.5120/15030-3348 fatcat:jsjffdnl7zdu3kcwj7f5pcpude

Distributed SPARQL over Big RDF Data: A Comparative Analysis Using Presto and MapReduce

Mulugeta Mammo, Srividya K. Bansal
2015 2015 IEEE International Congress on Big Data  
The processing of large volumes of RDF data require an efficient storage and query processing engine that can scale well with the volume of data.  ...  The initial attempts to address this issue focused on optimizing native RDF stores as well as conventional relational databases management systems.  ...  The native stores provide persistent storage with own database implementation that is modelled after the RDF model while the non-native-non-memory stores are setup to run on top of traditional databases  ... 
doi:10.1109/bigdatacongress.2015.15 dblp:conf/bigdata/MammoB15 fatcat:reiximps5ragvnqnynsm735m7a

Pushing the Scalability of RDF Engines on IoT Edge Devices

Anh Le-Tuan, Conor Hayes, Manfred Hauswirth, Danh Le-Phuoc
2020 Sensors  
Consequently, this has inspired us to introduce a lightweight RDF engine, which comprises an RDF storage and a SPARQL processor for lightweight edge devices, called RDF4Led.  ...  Our focus is on how to enable scalable and robust RDF engines that can operate on lightweight devices.  ...  An RDF engine, which contains an RDF storage and a SPARQL processor, can be classified into two types: non-native RDF engine and native RDF engine.  ... 
doi:10.3390/s20102788 pmid:32422961 pmcid:PMC7284853 fatcat:tenvgwxuuvazzc3zzy4vxlgjve

One Size Does Not Fit All: Querying Web Polystores

Yasar Khan, Antoine Zimmermann, Alokkumar Jha, Vijay Gadepally, Mathieu D'Aquin, Ratnesh Sahay
2019 IEEE Access  
engines over their native data models.  ...  We propose a web-based query federation mechanism-called PolyWeb-that unifies query answering over multiple native data models (CSV, RDB, and RDF).  ...  ., text, CSV, Graph, JSON, RDB, RDF, XML) and storage engines are proliferating with overlapping requirements, use-cases, and user-bases.  ... 
doi:10.1109/access.2018.2888601 fatcat:xpwuxf63dzg5lcnqn6mqwbtwou

RDFox: A Highly-Scalable RDF Store [chapter]

Yavor Nenov, Robert Piro, Boris Motik, Ian Horrocks, Zhe Wu, Jay Banerjee
2015 Lecture Notes in Computer Science  
Motivation • Semantic Web applications commonly represent data using the Resource Description Framework (RDF) • Such applications rely on RDF stores to: -efficiently handle large amounts of RDF data handle  ...  negation • Distributing storage, querying and reasoning in RDFox • Semantic Web applications commonly represent data using the Resource Description Framework (RDF) • Such applications rely on RDF stores  ...  Supports parallel import and efficient storage of large amounts of RDF data • Supports highly-scalable materialisation-based reasoning; -one can also use the fixed datalog program that corresponds to the  ... 
doi:10.1007/978-3-319-25010-6_1 fatcat:nelhd2w6zbanrcyjnmsj4iqgcy

A Comparative Analysis of Semantic Web Databases Based on Scalability and Performance

2021 International Journal of Advanced Trends in Computer Science and Engineering  
In this research paper we analyzed of two main big data types of Semantic web that iscategorized into two types (i) in memory Native (ii) Non-native Non-memory which are disk reside and Non-native is used  ...  Our main objective of research we have compared two types of SWD Native store and Non-nativestore and then we analyzed them  ...  store) 57% 36% AllegroGraph web database (native store) 65% 41% SQL web database (non-native store) 77% 88% MySQL web database (non-native) 91% 70% Oracle web database (non-native) 91% 95%  ... 
doi:10.30534/ijatcse/2021/1001032021 fatcat:2mfqq3kp7jft3mfpl7w34pbpa4

RDF Stores for Enhanced Living Environments: An Overview [chapter]

Petteri Karvinen, Natalia Díaz-Rodríguez, Stefan Grönroos, Johan Lilius
2019 Lecture Notes in Computer Science  
We explore the RDF store landscape with the aim of finding an RDF store that sufficiently meets the storage needs of an enhanced living environment, more concretely the requirements of a Smart Space platform  ...  Based on the insights provided with our study, we conclude by suggesting different relevant aspects of RDF storage systems that need to be considered in Ambient Assisted Living environments and a comparison  ...  The main separation is into two groups: non-native RDF stores, which are based on existing data storage solutions; and native RDF stores, which use data structures designed with the RDF data model in mind  ... 
doi:10.1007/978-3-030-10752-9_2 fatcat:47bng7lnkfg3zhhhhxbxp3awpu

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
., triple stores, tuple stores, native graph database systems, or object-oriented systems), the associated graph models (e.g., RDF or Labeled Property Graph), data organization techniques (e.g., storing  ...  Finally, we describe research and engineering challenges to outline the future of graph databases.  ...  Specifically, its in-memory analysis is boosted by the possibility to switch the underlying relational storage with the native graph storage provided by the PGX processing engine [74, 105, 170] .  ... 
arXiv:1910.09017v5 fatcat:ta4pzurv3ndyngzjfpl7vhvcui

ALASKA for Ontology Based Data Access [chapter]

Jean-François Baget, Madalina Croitoru, Bruno Paiva Lima da Silva
2013 Lecture Notes in Computer Science  
We use the platform to load semi-structured knowledge bases, store, and perform conjunctive queries over relational and non-relational storage systems.  ...  ALASKA translates different data representation languages such as relational databases, graph structures or RDF triples into logics.  ...  As already explained, querying the newly-stored knowledge base using the native interrogation engine (SQL for relational databases, SPARQL for 3Stores, etc.) is still possible with ALASKA.  ... 
doi:10.1007/978-3-642-41242-4_16 fatcat:d6audaxs3farlnmg25lrj5nyte

Evaluation Criteria for RDF Triplestores with an Application to Allegrograph

Khadija Alaoui, Mohamed Bahaj
2020 International Journal of Advanced Computer Science and Applications  
Furthermore, this criteria list is established taking into account relevant issues in accordance with triplestores tasks with respect to the main issues of RDF data storage, RDF data processing, performance  ...  The criteria list highlights various aspects and is not limited to special stores but covers all types of stores including among others relational, native, centralized, distributed and big data stores.  ...  RDF management systems can be broadly classified as being relational or non-relational, native or non-native, centralized or distributed and memory or disc based, as well as Map-Reduce based or not relying  ... 
doi:10.14569/ijacsa.2020.0110653 fatcat:4nm5caxih5b2rdgbgcr52qbrxa

RDF DATABASES – CASE STUDY AND PERFORMANCE EVALUATION

Tony Nacional, School of Business and Technology Webster University Thailand, Bangkok, Thailand, Marko Niinimaki, Matti Heikkurinen, School of Business and Technology Webster University Thailand, Bangkok, Thailand, PROCESS, Ludwig-Maximilians-Universität, Munich, Germany
2019 MATTER International Journal of Science and Technology  
In this article, we evaluate three RDF storage technologies. Our motivation is to find a storage solution that can be used to process "big data" RDF sets.  ...  However, 2 despite its benefits we must note that because of its data presentation and query limitations, MongoDB probably cannot serve as a generic storage for all kinds of RDF documents.  ...  Figure 3: Query times with XML and RDF Storage Solutions We can see that the native RDF databases most often provided better performance than their alternatives.  ... 
doi:10.20319/mijst.2019.53.0114 fatcat:qnanhl3xyrbgjkpt6bmac5uk5a

The Design and Implementation of Minimal RDFS Backward Reasoning in 4store [chapter]

Manuel Salvadores, Gianluca Correndo, Steve Harris, Nick Gibbins, Nigel Shadbolt
2011 Lecture Notes in Computer Science  
This paper describes the design and implementation of Minimal RDFS semantics based on a backward chaining approach and implemented on a clustered RDF triple store.  ...  Acknowledgements This work was supported by the EnAKTing project funded by the Engineering and Physical Sciences Research Council under contract EP/G008493/1.  ...  The data segments are allocated in Storage Nodes and the query engine in a Processing Node. The Processing Node accesses the Storage Nodes via sending TCP/IP messages.  ... 
doi:10.1007/978-3-642-21064-8_10 fatcat:23psq55fcjfltkjymqd25av3oy

RQ-RDF-3X: Going beyond triplestores

Jyoti Leeka, Srikanta Bedathur
2014 2014 IEEE 30th International Conference on Data Engineering Workshops  
Many novel database systems that store RDF in its native form or within traditional relational storage have demonstrated their ability to scale to large volumes of RDF content.  ...  Such richer models are supported in RDF through two techniques -first, called reification which retains the triple nature of RDF and the second, a non-standard extension called N-Quads.  ...  RQ-RDF-3X FRAMEWORK We will focus on the extensions needed to triple-store style RDF storage engines to support reification and quads, by using RDF-3X v0.3.7 [7] as the basis for our concrete implementation  ... 
doi:10.1109/icdew.2014.6818337 dblp:conf/icde/LeekaB14 fatcat:zwsepdgldvdaphxm2xdffqtr7e

Optimizing Enterprise-Scale OWL 2 RL Reasoning in a Relational Database System [chapter]

Vladimir Kolovski, Zhe Wu, George Eadon
2010 Lecture Notes in Computer Science  
However, building an enterprise-scale forward-chaining based inference engine that can 1) take advantage of modern multi-core computer architectures, and 2) efficiently update inference for additions remains  ...  In this paper, we present an OWL 2 RL inference engine implemented inside the Oracle database system, using novel techniques for parallel processing that can readily scale on multicore machines and clusters  ...  The built-in native inference engine allows inference on semantic models using OWL, SKOS, RDF(S), and user-defined rules.  ... 
doi:10.1007/978-3-642-17746-0_28 fatcat:qpfkoxfbs5afdb22qipuqw2ipa
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