Ontotext

Last updated

Ontotext AD
Company type Private corporation
Industry Software

Semantic Web
Semantic technology
Linked Data
Text mining
Information discovery
Graph database
Knowledge Engineering Triplestore

Contents

Knowledge Graph
Founded2000
Headquarters
Bulgaria   OOjs UI icon edit-ltr-progressive.svg
Key people
Atanas Kiryakov, CEO

Vassil Momtchev, CTO

Veska Davidova, COO
Products Ontotext GraphDB, [1]

Ontotext Semantic Platform, GraphDB Cloud, [2] Media & Publishing, Marketing Intelligence, Life Sciences & Healthcare, Compliance & Document Management,

Galleries, Libraries, Archives & Museums (GLAM)
Website Ontotext web site

Ontotext is a software company that produces software relating to data management. Its main products are GraphDB, an RDF database; and Ontotext Platform, a general data management platform based on knowledge graphs. It was founded in 2000 in Bulgaria, and now has offices internationally. [3] Together with the BBC, Ontotext developed one of the early large-scale industrial semantic applications, Dynamic Semantic Publishing, starting in 2010. [4]

Ontotext GraphDB, formerly OWLIM, is an RDF triplestore optimized for metadata and master data management, as well as graph analytics and data publishing. Since version 8.0 GraphDB integrates OpenRefine to allow for easy ingestion and reconciliation of tabular data. [5] Ontotext Platform is a general-purpose data management tool centered around the idea of knowledge graphs. [3]

Ontotext GraphDB

Ontotext GraphDB (previously known as BigOWLIM) is a graph-based database [6] capable of working with knowledge graphs [7] produced by Ontotext, compliant with the RDF graph data model [8] and the SPARQL query language. [9] Some categorize it as a NoSQL database, meaning that it does not use tables like some other databases. [10] 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. [11] The underlying idea of the database is of a semantic repository, storing semantic relationships between objects. [12]

Architecture

GraphDB is used to store and manage semantic knowledge graph data. [7] 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 ]

Uses

Ontotext Graph DB has been used in genetics, [14] healthcare, [15] data forensics, [16] cultural heritage studies, [17] geography, [18] infrastructure planning, [19] civil engineering, [20] digital historiography, [21] and oceanography. [22] Commercial clients include the BBC, [23] the Financial Times, [24] Springer Nature, [25] the UK Parliament, [26] [27] and AstraZeneca. [23]

See also

Related Research Articles

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<span class="mw-page-title-main">Apache Jena</span> Open source semantic web framework for Java

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<span class="mw-page-title-main">RDF4J</span>

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<span class="mw-page-title-main">Linked data</span> Structured data and method for its publication

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<span class="mw-page-title-main">Sones GraphDB</span>

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<span class="mw-page-title-main">Knowledge graph</span> Type of knowledge base

In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics or relationships underlying these entities.

Datacommons.org is an open knowledge graph hosted by Google that provides a unified view across multiple public datasets, combining economic, scientific and other open datasets into an integrated data graph. The Datacommons.org site was launched in May 2018 with an initial dataset consisting of fact-checking data published in Schema.org "ClaimReview" format by several fact checkers from the International Fact-Checking Network. Google has worked with partners including the United States Census, the World Bank, and US Bureau of Labor Statistics to populate the repository, which also hosts data from Wikipedia, the National Oceanic and Atmospheric Administration and the Federal Bureau of Investigation. The service expanded during 2019 to include an RDF-style Knowledge Graph populated from a number of largely statistical open datasets. The service was announced to a wider audience in 2019. In 2020 the service improved its coverage of non-US datasets, while also increasing its coverage of bioinformatics and coronavirus.

QLever is an open-source triplestore and graph database developed by a team at the University of Freiburg led by Hannah Bast. QLever performs high-performance queries of semantic Web knowledge bases, including full-text search within text corpuses. A specialized user interface for QLever predictively autocompletes SPARQL queries.

References

  1. ↑ "Ontotext GraphDB". Ontotext.
  2. ↑ "GraphDB Cloud". Ontotext.
  3. 1 2 "Ontotext". Bloor Research. 31 January 2024. Retrieved 25 June 2024.
  4. ↑ O'Donovan, John. "The World Cup and a call to action around Linked Data". BBC Internet Blog. Retrieved 2 November 2016.
  5. ↑ Howard, Philip (10 May 2017). "Graph update: Ontotext GraphDB". Bloor Research.
  6. ↑ "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.
  7. 1 2 Buchmann, Robert (2019). "Model-Aware Software EngineeringA Knowledge-based Approach to Model-Driven Software Engineering" (PDF). Retrieved 15 April 2021.
  8. ↑ "About GraphDB". GraphDB Free 8.4 documentation. Retrieved 25 June 2024.
  9. ↑ "SparqlImplementations - W3C Wiki". www.w3.org. Retrieved 15 April 2021.
  10. ↑ "GraphDB". Capterra. Retrieved 9 December 2020.
  11. ↑ Ledvinka, Martin (2015). "JOPA: Accessing Ontologies in an Object-oriented Way" (PDF). Retrieved 15 April 2021.
  12. 1 2 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.
  13. ↑ 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.
  14. ↑ 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.
  15. ↑ 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.
  16. ↑ 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.
  17. ↑ 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.
  18. ↑ Panasiuk, Oleksandra (2019). "Representing GeoData for Tourism with Schema.org" (PDF). Retrieved 15 April 2021.
  19. ↑ 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
  20. ↑ 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.
  21. ↑ Quaresma, Paulo (2020). "Information Extraction from Historical Texts:a Case Study" (PDF). Retrieved 15 April 2021.
  22. ↑ 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.
  23. 1 2 Anadiotis, George. "Graph databases and RDF: It's a family affair". ZDNet. Retrieved 9 December 2020.
  24. ↑ "Semantic Technology for online, broadcast and print media". videolectures.net. Retrieved 9 December 2020.
  25. ↑ "SciGraph | For Researchers". Springer Nature. Retrieved 9 December 2020.
  26. ↑ "Linked Government Data". nationalarchives.gov.uk. Retrieved 9 December 2020.
  27. ↑ "Performance testing a graph database | Parliamentary Digital Service". pds.blog.parliament.uk. Retrieved 15 April 2021.
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