Menu
Home
People
Places
Arts
History
Plants & Animals
Science
Life & Culture
Technology
Reference.org
Ontotext
open-in-new
<h2 id="ontotext-graphdb">Ontotext GraphDB</h2> <p>Ontotext GraphDB (previously known as BigOWLIM) is a <a href="/facts/Graph_database/WJfPlV3z">graph-based database</a><a class="footnote-ref" id="fnref:5" href="#fn:5"><sup>5</sup></a> capable of working with <a href="/facts/Knowledge_graph/0GrfBIqx">knowledge graphs</a><a class="footnote-ref" id="fnref:6" href="#fn:6"><sup>6</sup></a> produced by Ontotext, compliant with the <a href="/facts/Resource_Description_Framework/WMufyukm">RDF</a> graph data model<a class="footnote-ref" id="fnref:7" href="#fn:7"><sup>7</sup></a> and the <a href="/facts/SPARQL/XPP7pFDJ">SPARQL</a> query language.<a class="footnote-ref" id="fnref:8" href="#fn:8"><sup>8</sup></a> Some categorize it as a <a href="/facts/NoSQL/vvynRKfd">NoSQL</a> database, meaning that it does not use <a href="/facts/Relational_database/pEKGmJLy">tables</a> like some other databases.<a class="footnote-ref" id="fnref:9" href="#fn:9"><sup>9</sup></a> In 2014 Ontotext acquired the trademark "GraphDB" from Sones. </p><p>GraphDB is also an advanced <a href="/facts/Ontology_(information_science)/SQlhl6lp">ontology</a> (specification of entities, their properties, and their relationships) repository.<a class="footnote-ref" id="fnref:10" href="#fn:10"><sup>10</sup></a> The underlying idea of the database is of a <a href="/facts/Semantic_network/mt7FlP53">semantic repository</a>, storing <a href="/facts/Semantics/1L4WwLAP">semantic</a> relationships between objects.<a class="footnote-ref" id="fnref:11" href="#fn:11"><sup>11</sup></a> </p> <h3>Architecture</h3> <p>GraphDB is used to store and manage semantic <a href="/facts/Knowledge_graph/0GrfBIqx">knowledge graph</a> data.<a class="footnote-ref" id="fnref:12" href="#fn:12"><sup>12</sup></a> It is built on top of the <a href="/facts/RDF4J/AVFrpG23">RDF4J</a> architecture for handling <a href="/facts/Resource_Description_Framework/WMufyukm">RDF</a> data, implemented through the use of RDF4J's Storage and Inference Layer (SAIL). The architecture is made of three main components: </p> <ul><li>The Workbench is a web-based administration tool. The user interface is based on RDF4J Workbench Web Application.</li> <li>The Engine consists of a <a href="/facts/Query_optimization/KsSwxtw8">query optimizer</a>, reasoner,<a class="footnote-ref" id="fnref:13" href="#fn:13"><sup>13</sup></a> and a storage and plugin manager. The reasoner in GraphDB is <a href="/facts/Forward_chaining/FJjYIf6S">forward chaining</a>, reasoning forward from given priors, with the goal of total <a href="/facts/Inference/RBbe95bP">materialization</a>.<a class="footnote-ref" id="fnref:14" href="#fn:14"><sup>14</sup></a> The plugin manager supports user-defined indexes and can be configured dynamically during run-time.</li></ul> <h3>Uses</h3> <p>Ontotext Graph DB has been used in <a href="/facts/Genetics/bu8wne0A">genetics</a>,<a class="footnote-ref" id="fnref:15" href="#fn:15"><sup>15</sup></a> <a href="/facts/Healthcare/LPS1WKbI">healthcare</a>,<a class="footnote-ref" id="fnref:16" href="#fn:16"><sup>16</sup></a> <a href="/facts/Data_forensics/g59dDNYz">data forensics</a>,<a class="footnote-ref" id="fnref:17" href="#fn:17"><sup>17</sup></a> <a href="/facts/Cultural_heritage/rGqpLGgk">cultural heritage studies</a>,<a class="footnote-ref" id="fnref:18" href="#fn:18"><sup>18</sup></a> <a href="/facts/Geography/TRd1Toyo">geography</a>,<a class="footnote-ref" id="fnref:19" href="#fn:19"><sup>19</sup></a> <a href="/facts/Infrastructure_planning/N2dfFGTQ">infrastructure planning</a>,<a class="footnote-ref" id="fnref:20" href="#fn:20"><sup>20</sup></a> <a href="/facts/Civil_engineering/avh5kEq2">civil engineering</a>,<a class="footnote-ref" id="fnref:21" href="#fn:21"><sup>21</sup></a> <a href="/facts/Historiography/NVMMC3FP">digital historiography</a>,<a class="footnote-ref" id="fnref:22" href="#fn:22"><sup>22</sup></a> and <a href="/facts/Oceanography/LtrG6peD">oceanography</a>.<a class="footnote-ref" id="fnref:23" href="#fn:23"><sup>23</sup></a> Commercial clients include the <a href="/facts/BBC/qFateIz8">BBC</a>,<a class="footnote-ref" id="fnref:24" href="#fn:24"><sup>24</sup></a> the <a href="/facts/Financial_Times/0ndae2YU">Financial Times</a>,<a class="footnote-ref" id="fnref:25" href="#fn:25"><sup>25</sup></a> <a href="/facts/Springer_Nature/TpTgApAh">Springer Nature</a>,<a class="footnote-ref" id="fnref:26" href="#fn:26"><sup>26</sup></a> the <a href="/facts/UK_Parliament/7bFbPI9g">UK Parliament</a>,<a class="footnote-ref" id="fnref:27" href="#fn:27"><sup>27</sup></a><a class="footnote-ref" id="fnref:28" href="#fn:28"><sup>28</sup></a> and <a href="/facts/AstraZeneca/KTPcnWfE">AstraZeneca</a>.<a class="footnote-ref" id="fnref:29" href="#fn:29"><sup>29</sup></a> </p> <h2 id="see-also">See also</h2> <ul><li><a href="/facts/Graph_database/WJfPlV3z">Graph databases</a></li> <li><a href="/facts/Graph_theory/VVPCd4TX">Graph theory</a></li> <li><a href="/facts/Triplestore/k0e2ua9S">RDF database</a></li> <li><a href="/facts/Glossary_of_graph_theory/W0MqKkyE">Glossary of graph theory</a></li></ul> <h2 id="external-links">External links</h2> <ul><li><a href="https://www.ontotext.com/products/graphdb/">Ontotext's Product Website</a></li> <li><a href="https://github.com/Ontotext-AD/graphdb-workbench">Github repository for Apache Licensed Workbench for GraphDB</a></li> <li><a href="https://www.theregister.com/2020/01/15/graphdb_91_ontotext/">Register Article from 15 Jan 2020 about Ontotext GraphDB</a></li> <li><a href="https://www.w3.org/2001/sw/wiki/GraphDB">W3.org entry for GraphDB</a></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>"Ontotext". Bloor Research. 31 January 2024. Retrieved 25 June 2024. <a href="https://www.bloorresearch.com/company/ontotext/,%20https://www.bloorresearch.com/company/ontotext/,%20https://www.bloorresearch.com/company/ontotext/" target="_blank">https://www.bloorresearch.com/company/ontotext/,%20https://www.bloorresearch.com/company/ontotext/,%20https://www.bloorresearch.com/company/ontotext/</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>O'Donovan, John. "The World Cup and a call to action around Linked Data". BBC Internet Blog. Retrieved 2 November 2016. <a href="https://www.bbc.co.uk/blogs/bbcinternet/2010/07/the_world_cup_and_a_call_to_ac.html" target="_blank">https://www.bbc.co.uk/blogs/bbcinternet/2010/07/the_world_cup_and_a_call_to_ac.html</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>Howard, Philip (10 May 2017). "Graph update: Ontotext GraphDB". Bloor Research. <a href="https://www.bloorresearch.com/2017/05/graph-update-ontotext-graphdb/" target="_blank">https://www.bloorresearch.com/2017/05/graph-update-ontotext-graphdb/</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>"Ontotext". Bloor Research. 31 January 2024. Retrieved 25 June 2024. <a href="https://www.bloorresearch.com/company/ontotext/,%20https://www.bloorresearch.com/company/ontotext/,%20https://www.bloorresearch.com/company/ontotext/" target="_blank">https://www.bloorresearch.com/company/ontotext/,%20https://www.bloorresearch.com/company/ontotext/,%20https://www.bloorresearch.com/company/ontotext/</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>"Graph Databases (Technology)". Bloor Research. Retrieved 9 December 2020. 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. <a href="https://www.bloorresearch.com/technology/graph-databases/" target="_blank">https://www.bloorresearch.com/technology/graph-databases/</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> <li id="fn:6"><p>Buchmann, Robert (2019). "Model-Aware Software EngineeringA Knowledge-based Approach to Model-Driven Software Engineering" (PDF). Retrieved 15 April 2021. <a href="https://www.scitepress.org/papers/2018/66941/66941.pdf" target="_blank">https://www.scitepress.org/papers/2018/66941/66941.pdf</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li> <li id="fn:7"><p>"About GraphDB". GraphDB Free 8.4 documentation. Retrieved 25 June 2024. <a href="https://graphdb.ontotext.com/documentation/8.4/free/about-graphdb.html" target="_blank">https://graphdb.ontotext.com/documentation/8.4/free/about-graphdb.html</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li> <li id="fn:8"><p>"SparqlImplementations - W3C Wiki". www.w3.org. Retrieved 15 April 2021. <a href="https://www.w3.org/wiki/SparqlImplementations" target="_blank">https://www.w3.org/wiki/SparqlImplementations</a> <a href="#fnref:8" class="footnote-back-ref">↩</a></p></li> <li id="fn:9"><p>"GraphDB". Capterra. Retrieved 9 December 2020. <a href="https://www.capterra.co.uk/software/157533/graph-db" target="_blank">https://www.capterra.co.uk/software/157533/graph-db</a> <a href="#fnref:9" class="footnote-back-ref">↩</a></p></li> <li id="fn:10"><p>Ledvinka, Martin (2015). "JOPA: Accessing Ontologies in an Object-oriented Way" (PDF). Retrieved 15 April 2021. <a href="https://www.scitepress.org/papers/2015/54003/54003.pdf" target="_blank">https://www.scitepress.org/papers/2015/54003/54003.pdf</a> <a href="#fnref:10" class="footnote-back-ref">↩</a></p></li> <li id="fn:11"><p>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. <a href="978-3-540-32287-0" target="_blank">978-3-540-32287-0</a> <a href="#fnref:11" class="footnote-back-ref">↩</a></p></li> <li id="fn:12"><p>Buchmann, Robert (2019). "Model-Aware Software EngineeringA Knowledge-based Approach to Model-Driven Software Engineering" (PDF). Retrieved 15 April 2021. <a href="https://www.scitepress.org/papers/2018/66941/66941.pdf" target="_blank">https://www.scitepress.org/papers/2018/66941/66941.pdf</a> <a href="#fnref:12" class="footnote-back-ref">↩</a></p></li> <li id="fn:13"><p>Stoilos, Giorgos; Grau, Bernardo Cuenca; Horrocks, Ian (5 July 2010). "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. <a href="https://ojs.aaai.org/index.php/AAAI/article/view/7498" target="_blank">https://ojs.aaai.org/index.php/AAAI/article/view/7498</a> <a href="#fnref:13" class="footnote-back-ref">↩</a></p></li> <li id="fn:14"><p>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. <a href="978-3-540-32287-0" target="_blank">978-3-540-32287-0</a> <a href="#fnref:14" class="footnote-back-ref">↩</a></p></li> <li id="fn:15"><p>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. <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989550" target="_blank">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989550</a> <a href="#fnref:15" class="footnote-back-ref">↩</a></p></li> <li id="fn:16"><p>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. <a href="978-3-030-00668-6" target="_blank">978-3-030-00668-6</a> <a href="#fnref:16" class="footnote-back-ref">↩</a></p></li> <li id="fn:17"><p>Zhuhadar, Leyla; Ciampa, Mark (1 March 2019). "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. <a href="https://www.sciencedirect.com/science/article/abs/pii/S0747563217306933" target="_blank">https://www.sciencedirect.com/science/article/abs/pii/S0747563217306933</a> <a href="#fnref:17" class="footnote-back-ref">↩</a></p></li> <li id="fn:18"><p>Damiano, Rossana; Lombardo, Vincenzo; Lieto, Antonio; Borra, Davide (1 July 2016). "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. <a href="https://www.sciencedirect.com/science/article/abs/pii/S1875952116300167" target="_blank">https://www.sciencedirect.com/science/article/abs/pii/S1875952116300167</a> <a href="#fnref:18" class="footnote-back-ref">↩</a></p></li> <li id="fn:19"><p>Panasiuk, Oleksandra (2019). "Representing GeoData for Tourism with Schema.org" (PDF). Retrieved 15 April 2021. <a href="https://schema-tourism.sti2.org/sites/default/files/representing_geodata.pdf" target="_blank">https://schema-tourism.sti2.org/sites/default/files/representing_geodata.pdf</a> <a href="#fnref:19" class="footnote-back-ref">↩</a></p></li> <li id="fn:20"><p>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 15 April 2021 <a href="http://ceur-ws.org/Vol-2530/paper8.pdf" target="_blank">http://ceur-ws.org/Vol-2530/paper8.pdf</a> <a href="#fnref:20" class="footnote-back-ref">↩</a></p></li> <li id="fn:21"><p>Nundloll, Vatsala; Lamb, Rob; Hankin, Barry; Blair, Gordon (1 April 2021). "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. <a href="https://doi.org/10.1016%2Fj.envc.2021.100064" target="_blank">https://doi.org/10.1016%2Fj.envc.2021.100064</a> <a href="#fnref:21" class="footnote-back-ref">↩</a></p></li> <li id="fn:22"><p>Quaresma, Paulo (2020). "Information Extraction from Historical Texts:a Case Study" (PDF). Retrieved 15 April 2021. <a href="http://ceur-ws.org/Vol-2607/short2.pdf" target="_blank">http://ceur-ws.org/Vol-2607/short2.pdf</a> <a href="#fnref:22" class="footnote-back-ref">↩</a></p></li> <li id="fn:23"><p>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. <a href="978-3-030-21395-4" target="_blank">978-3-030-21395-4</a> <a href="#fnref:23" class="footnote-back-ref">↩</a></p></li> <li id="fn:24"><p>Anadiotis, George. "Graph databases and RDF: It's a family affair". ZDNet. Retrieved 9 December 2020. <a href="https://www.zdnet.com/article/graph-databases-and-rdf-its-a-family-affair/" target="_blank">https://www.zdnet.com/article/graph-databases-and-rdf-its-a-family-affair/</a> <a href="#fnref:24" class="footnote-back-ref">↩</a></p></li> <li id="fn:25"><p>"Semantic Technology for online, broadcast and print media". videolectures.net. Retrieved 9 December 2020. <a href="http://videolectures.net/wims2014_rayfield_semantic_technology/" target="_blank">http://videolectures.net/wims2014_rayfield_semantic_technology/</a> <a href="#fnref:25" class="footnote-back-ref">↩</a></p></li> <li id="fn:26"><p>"SciGraph | For Researchers". Springer Nature. Retrieved 9 December 2020. <a href="https://www.springernature.com/gp/researchers/scigraph" target="_blank">https://www.springernature.com/gp/researchers/scigraph</a> <a href="#fnref:26" class="footnote-back-ref">↩</a></p></li> <li id="fn:27"><p>"Linked Government Data". nationalarchives.gov.uk. Retrieved 9 December 2020. <a href="https://www.nationalarchives.gov.uk/documents/information-management/open-and-linked-data-johnsheridan.ppt" target="_blank">https://www.nationalarchives.gov.uk/documents/information-management/open-and-linked-data-johnsheridan.ppt</a> <a href="#fnref:27" class="footnote-back-ref">↩</a></p></li> <li id="fn:28"><p>"Performance testing a graph database | Parliamentary Digital Service". pds.blog.parliament.uk. Retrieved 15 April 2021. <a href="https://pds.blog.parliament.uk/2017/12/15/performance-testing-a-graph-database/" target="_blank">https://pds.blog.parliament.uk/2017/12/15/performance-testing-a-graph-database/</a> <a href="#fnref:28" class="footnote-back-ref">↩</a></p></li> <li id="fn:29"><p>Anadiotis, George. "Graph databases and RDF: It's a family affair". ZDNet. Retrieved 9 December 2020. <a href="https://www.zdnet.com/article/graph-databases-and-rdf-its-a-family-affair/" target="_blank">https://www.zdnet.com/article/graph-databases-and-rdf-its-a-family-affair/</a> <a href="#fnref:29" class="footnote-back-ref">↩</a></p></li> </ol>