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Ontotext GraphDB

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GraphDB
Developer(s)Ontotext
Stable release
10.6 / June 2024 (2024-06) [1]
Repository
Operating systemCross-platform
Available inEnglish
TypeDatabase, Triplestore, Graph databases
LicenseGraphDB-Free is free to use. SE and EE are licensed per CPU-Core used. Perpetual and annual subscription models are available.
Websitewww.ontotext.com/products/graphdb

Ontotext GraphDB (previously known as BigOWLIM) is a graph-based database[2] capable of working with knowledge graphs[3] produced by Ontotext, compliant with the RDF graph data model[4] and the SPARQL query language.[5] Some categorize it as a NoSQL database, meaning that it does not use tables like some other databases.[6] In 2014 Ontotext acquired the trademark "GraphDB" from Sones.[citation needed]

GraphDB is also an advanced ontology (specification of entities, their properties, and their relationships) repository.[7] The underlying idea of the database is of a semantic repository, storing semantic relationships between objects.[8]

Architecture[edit]

GraphDB is used to store and manage semantic knowledge graph data.[3] It is built on top of the RDF4J architecture for handling RDF data, implemented through the use of RDF4J's Storage and Inference Layer (SAIL).[citation needed] The architecture is made of three main components:[citation needed]

  • The Workbench is a web-based administration tool. The user interface is based on RDF4J Workbench Web Application.
  • The Engine consists of a query optimizer, reasoner,[9] and a storage and plugin manager.[citation needed] The reasoner in GraphDB is forward chaining, reasoning forward from given priors, with the goal of total materialization.[8] The plugin manager supports user-defined indexes and can be configured dynamically during run-time.[citation needed]

Uses[edit]

Ontotext Graph DB has been used in genetics,[10] healthcare,[11] data forensics,[12] cultural heritage studies,[13] geography,[14] infrastructure planning,[15] civil engineering,[16] digital historiography,[17] and oceanography.[18] Commercial clients include the BBC,[19] the Financial Times,[20] Springer Nature,[21] the UK Parliament,[22][23] and AstraZeneca.[19]

See also[edit]

References[edit]

  1. ^ "Release Notes". GraphDB. Retrieved 2024-06-25.
  2. ^ "Graph Databases (Technology)". Bloor Research. Retrieved 2020-12-09. We would argue that the market leaders in this space continue to be Neo4J and OntoText (GraphDB), which are graph and RDF database providers respectively.
  3. ^ a b Buchmann, Robert (2019). "Model-Aware Software EngineeringA Knowledge-based Approach to Model-Driven Software Engineering" (PDF). Retrieved 2021-04-15.
  4. ^ "About GraphDB". GraphDB Free 8.4 documentation. Retrieved 2024-06-25.
  5. ^ "SparqlImplementations - W3C Wiki". www.w3.org. Retrieved 2021-04-15.
  6. ^ "GraphDB". Capterra. Retrieved 2020-12-09.
  7. ^ Ledvinka, Martin (2015). "JOPA: Accessing Ontologies in an Object-oriented Way" (PDF). Retrieved 2021-04-15.
  8. ^ a b Kiryakov, Atanas; Ognyanov, Damyan; Manov, Dimitar (2005). "OWLIM – A Pragmatic Semantic Repository for OWL". In Dean, Mike; Guo, Yuanbo; Jun, Woochun; Kaschek, Roland; Krishnaswamy, Shonali; Pan, Zhengxiang; Sheng, Quan Z. (eds.). Web Information Systems Engineering – WISE 2005 Workshops. Lecture Notes in Computer Science. Vol. 3807. Berlin, Heidelberg: Springer. pp. 182–192. doi:10.1007/11581116_19. ISBN 978-3-540-32287-0.
  9. ^ Stoilos, Giorgos; Grau, Bernardo Cuenca; Horrocks, Ian (2010-07-05). "How Incomplete is Your Semantic Web Reasoner?". Proceedings of the AAAI Conference on Artificial Intelligence. 24 (1): 1431–1436. doi:10.1609/aaai.v24i1.7498. ISSN 2374-3468. S2CID 34119609.
  10. ^ Poncheewin, Wasin; Hermes, Gerben D. A.; van Dam, Jesse C. J.; Koehorst, Jasper J.; Smidt, Hauke; Schaap, Peter J. (2020). "NG-Tax 2.0: A Semantic Framework for High-Throughput Amplicon Analysis". Frontiers in Genetics. 10: 1366. doi:10.3389/fgene.2019.01366. ISSN 1664-8021. PMC 6989550. PMID 32117417.
  11. ^ Barisevičius, Gintaras; Coste, Martin; Geleta, David; Juric, Damir; Khodadadi, Mohammad; Stoilos, Giorgos; Zaihrayeu, Ilya (2018). "Supporting Digital Healthcare Services Using Semantic Web Technologies". In Vrandečić, Denny; Bontcheva, Kalina; Suárez-Figueroa, Mari Carmen; Presutti, Valentina; Celino, Irene; Sabou, Marta; Kaffee, Lucie-Aimée; Simperl, Elena (eds.). The Semantic Web – ISWC 2018. Lecture Notes in Computer Science. Vol. 11137. Cham: Springer International Publishing. pp. 291–306. doi:10.1007/978-3-030-00668-6_18. ISBN 978-3-030-00668-6.
  12. ^ Zhuhadar, Leyla; Ciampa, Mark (2019-03-01). "Leveraging learning innovations in cognitive computing with massive data sets: Using the offshore Panama papers leak to discover patterns". Computers in Human Behavior. 92: 507–518. doi:10.1016/j.chb.2017.12.013. ISSN 0747-5632. S2CID 59528294.
  13. ^ Damiano, Rossana; Lombardo, Vincenzo; Lieto, Antonio; Borra, Davide (2016-07-01). "Exploring cultural heritage repositories with creative intelligence. The Labyrinth 3D system". Entertainment Computing. 16: 41–52. doi:10.1016/j.entcom.2016.05.002. hdl:2318/1578514. ISSN 1875-9521. S2CID 31774697.
  14. ^ Panasiuk, Oleksandra (2019). "Representing GeoData for Tourism with Schema.org" (PDF). Retrieved 2021-04-15.
  15. ^ Azzam, Amr; Aryan, Peb Ruswono; Cecconi, Alessio; Di Ciccio, Claudio; Ekaputra, Fajar J.; Fernandez Garcia, Javier David; Karampatakis, Sotiris; Kiesling, Elmar; Musil, Angelika (2019), Antonella Longo, Maria Fazio (ed.), The CitySPIN Platform: A CPSS Environment for City-Wide Infrastructures (PDF), Bilbao, Spain: CEUR Workshop Proceedings, pp. 57–64, retrieved 2021-04-15
  16. ^ Nundloll, Vatsala; Lamb, Rob; Hankin, Barry; Blair, Gordon (2021-04-01). "A semantic approach to enable data integration for the domain of flood risk management". Environmental Challenges. 3: 100064. Bibcode:2021EnvCh...300064N. doi:10.1016/j.envc.2021.100064. ISSN 2667-0100.
  17. ^ Quaresma, Paulo (2020). "Information Extraction from Historical Texts:a Case Study" (PDF). Retrieved 2021-04-15.
  18. ^ Zárate, Marcos; Rosales, Pablo; Braun, Germán; Lewis, Mirtha; Fillottrani, Pablo Rubén; Delrieux, Claudio (2019). "OceanGraph: Some Initial Steps Toward a Oceanographic Knowledge Graph". In Villazón-Terrazas, Boris; Hidalgo-Delgado, Yusniel (eds.). Knowledge Graphs and Semantic Web. Communications in Computer and Information Science. Vol. 1029. Cham: Springer International Publishing. pp. 33–40. doi:10.1007/978-3-030-21395-4_3. ISBN 978-3-030-21395-4. S2CID 160011396.
  19. ^ a b Anadiotis, George. "Graph databases and RDF: It's a family affair". ZDNet. Retrieved 2020-12-09.
  20. ^ "Semantic Technology for online, broadcast and print media". videolectures.net. Retrieved 2020-12-09.
  21. ^ "SciGraph | For Researchers". Springer Nature. Retrieved 2020-12-09.
  22. ^ "Linked Government Data". nationalarchives.gov.uk. Retrieved 2020-12-09.
  23. ^ "Performance testing a graph database | Parliamentary Digital Service". pds.blog.parliament.uk. Retrieved 2021-04-15.

External links[edit]

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