Ontotext

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Software company

title: "Ontotext" type: doc version: 1 created: 2026-02-28 author: "Wikipedia contributors" status: active scope: public tags: ["companies-based-in-sofia", "companies-established-in-2000", "bulgarian-companies-established-in-2000", "bulgarian-brands", "software-companies-of-bulgaria", "semantic-web-companies", "companies-in-the-sofix"] description: "Software company" topic_path: "general/companies-based-in-sofia" source: "https://en.wikipedia.org/wiki/Ontotext" license: "CC BY-SA 4.0" wikipedia_page_id: 0 wikipedia_revision_id: 0

::summary Software company ::

::data[format=table title="Infobox company"]

Field	Value
name	Ontotext AD
logo	Ontotext logo.png
type	Private corporation
foundation	2000
key_people	Atanas Kiryakov, CEO

| | industry | Software | | products | Ontotext GraphDB, | | GraphDB Cloud,{{cite web|title | GraphDB Cloud|url=https://cloud.ontotext.com|publisher=Ontotext}} | | homepage | Ontotext web site | ::

Vassil Momtchev, CTO

Veska Davidova, COO | industry = Software

Information discovery

Graph database

Knowledge engineering Triplestore

Knowledge graph | products = Ontotext GraphDB, Ontotext Semantic Platform, GraphDB Cloud, Media & Publishing, Marketing Intelligence, Life Sciences & Healthcare, Compliance & Document Management, Galleries, Libraries, Archives & Museums (GLAM) | homepage = 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. Together with the BBC, Ontotext developed one of the early large-scale industrial semantic applications, Dynamic Semantic Publishing, starting in 2010.

In October 2024 Ontotext merged with the Austrian Semantic Web Company to form Graphwise (https://graphwise.ai), one of the largest semantic technology companies world-wide.

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. Ontotext Platform is a general-purpose data management tool centered around the idea of knowledge graphs.

Ontotext GraphDB

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

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

Architecture

GraphDB is used to store and manage semantic knowledge graph data. 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). The architecture is made of three main components:

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, and a storage and plugin manager. The reasoner in GraphDB is forward chaining, reasoning forward from given priors, with the goal of total materialization. The plugin manager supports user-defined indexes and can be configured dynamically during run-time.

Uses

Ontotext Graph DB has been used in genetics, healthcare, data forensics, cultural heritage studies, geography, infrastructure planning, civil engineering, digital historiography, and oceanography. Commercial clients include the BBC, the Financial Times, Springer Nature, the UK Parliament, and AstraZeneca.

References

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(2010-07-05). "How Incomplete is Your Semantic Web Reasoner?". Proceedings of the AAAI Conference on Artificial Intelligence.
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(2020). "NG-Tax 2.0: A Semantic Framework for High-Throughput Amplicon Analysis". Frontiers in Genetics.
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(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.
(2016-07-01). "Exploring cultural heritage repositories with creative intelligence. The Labyrinth 3D system". Entertainment Computing.
Panasiuk, Oleksandra. (2019). "Representing GeoData for Tourism with Schema.org".
(2019). "The CitySPIN Platform: A CPSS Environment for City-Wide Infrastructures". CEUR Workshop Proceedings.
(2021-04-01). "A semantic approach to enable data integration for the domain of flood risk management". Environmental Challenges.
Quaresma, Paulo. (2020). "Information Extraction from Historical Texts:a Case Study".
(2019). "Knowledge Graphs and Semantic Web". Springer International Publishing.
"Semantic Technology for online, broadcast and print media".
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"Performance testing a graph database {{!}} Parliamentary Digital Service".
Anadiotis, George. "Graph databases and RDF: It's a family affair".

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