What DBpedia does

DBpedia is an open knowledge graph initiative that extracts, cleans, and structures information from Wikipedia (across all languages) and Wikidata into a machine-readable graph containing over 228 million entities. Founded in 2007 as a research project at Leipzig University, it has been governed since 2014 by the DBpedia Association, a German non-profit membership organization headquartered in Leipzig. Its core product surface includes the main DBpedia Knowledge Graph, a crowd-sourced ontology with 768 classes and 3,000 properties, quarterly snapshot releases, monthly latest-core development versions, the DBpedia Databus for data cataloging and versioning, DBpedia Archivo for historical ontology archiving, and approximately 20 language chapters that produce localized extractions. The platform exposes data through SPARQL endpoints, Linked Data interfaces, direct downloads (over 600,000 file downloads per year), and real-time access via DBpedia Live and its Sync API. NLP-driven tools such as DBpedia Spotlight and Lookup Linking provide entity linking and text enrichment against the knowledge graph.

DBpedia serves three primary user cohorts: academic researchers and scientists citing DBpedia in publications, software developers and data engineers integrating DBpedia into applications and data pipelines, and industry organizations enriching their datasets with linked open data. A fourth, supporting cohort of linked-data enthusiasts contributes to the open-source project. Distribution is global and entirely self-serve; the data, APIs, and tooling are provided at no cost under open licensing principles.

The DBpedia Association operates a member-driven business model: it generates revenue primarily through recurring association membership fees paid by academic and industry institutions (including Triply, the National Library of the Netherlands, Diffbot, SZTAKI, and several universities), supplemented by optional services such as the PhD Program that connects organizations with doctoral candidates. Community engagement is sustained through an annual DBpedia Day conference, Google Summer of Code participation, GitHub repositories, a community forum, blog, and training material. No external venture funding, no parent company, and no equity-backed ownership structure are disclosed in the source data.

Name

DBpedia

Legal name

DBpedia Association

Website

https://wiki.dbpedia.org

Company type

Private

Founded year

2014

Operating status

Operating

Short description

DBpedia is a German non-profit association that maintains the world's most interconnected open knowledge graph, extracted from Wikipedia and Wikidata, serving academic researchers, developers, and industry users globally through free SPARQL endpoints, downloads, and entity-linking tools.

Ownership category

akta.pro rank

Product category

Open Knowledge Graph Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Web Search Portals, Libraries, Archives, and Other Information Services (519)

SIC

Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Graph Databases (HDAEAAAE)

akta.pro secondary industries

Metadata, Catalog & Semantic Layer for Data Platforms (HDAEABAJ), Database Tools & Ecosystem (Replication, Backup/Recovery, HA/DR, Monitoring) (HDAEAAAO)

Keywords

• Knowledge graph platform
• Linked open data
• Semantic web data
• Entity linking services
• Structured data extraction

Headquarters

HQ city

Leipzig

HQ country

Germany

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales

Revenue model

1. Association Membership: The DBpedia Association, founded in 2014, generates revenue through membership fees from industry and academic institutions. Members support and encourage DBpedia while gaining access to the network and ability to influence the direction of the open knowledge graph.
2. PhD Program Services: The association offers a PhD program that connects organizations with doctoral candidates, potentially generating revenue through program fees or partnerships.

Go-to-market motion2 records

Distribution channels7 records

Marketing channels7 records

Core offering

DBpedia extracts and structures information from Wikipedia and Wikidata into a large-scale, multilingual open knowledge graph containing over 228 million entities, making the data available as Linked Open Data via SPARQL endpoints, downloadable datasets, and APIs. It provides tools for entity linking, real-time Wikipedia synchronization, data cataloging, and a crowd-sourced ontology with 768 classes and 3,000 properties, serving researchers, developers, and industry users worldwide.

Product overview

DBpedia is a comprehensive open knowledge graph platform providing structured data extracted from Wikipedia in all languages and Wikidata. The core product is the DBpedia Knowledge Graph containing over 228 million entities. The platform operates on a modular architecture with multiple access methods: the main Knowledge Graph can be accessed via stable Snapshot Releases (quarterly) or Latest Core Releases (monthly development versions). Data access is provided through SPARQL queries, Linked Data endpoints, and the DBpedia Live real-time synchronization service. Entity annotation capabilities include Spotlight for automatic entity linking and Lookup Linking for text enrichment. The DBpedia Databus provides data cataloging and versioning, while the Ontology (DBO) with 768 classes and 3000 properties defines the semantic schema. Approximately 20 language chapters contribute language-specific data extractions via the NIF format. The platform offers over 600k file downloads annually and is the main resource of the Linked Open Data cloud.

Differentiator

Problem solved

Functional benefit

Products and services

• DBpedia Knowledge Graph

Quantifiable outcome

• Over 600,000 file downloads per year indicating extensive usage

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature7 records

Partnerships

Ten partnerships are on record, tiered core.

• TriplycoreOthersAssociation member supporting and encouraging DBpedia, contributing to the Open Knowledge Graph network.
• KB (National Library of the Netherlands)coreOthersAssociation member contributing to the DBpedia network and supporting open knowledge graph initiatives.
• DALICCcoreOthersAssociation member supporting DBpedia and the Open Knowledge Graph ecosystem.
• Linked Open Data InitiativecoreOthersAssociation member focused on promoting and supporting linked open data principles and DBpedia.
• SZTAKIcoreOthersAssociation member (Institute for Computer Science and Control, Hungarian Academy of Sciences) supporting DBpedia.
• Network Institute VU AmsterdamcoreOthersAssociation member from Vrije Universiteit Amsterdam contributing to DBpedia research and development.
• Business Information Systems Institute LtdcoreOthersAssociation member supporting DBpedia and contributing to its ecosystem.
• Poznan UniversitycoreOthersAssociation member (Poznan University of Technology) supporting DBpedia through academic research and contributions.
• DiffbotcoreTechnology or IntegrationAssociation member providing technology integration with DBpedia, contributing to the open knowledge graph ecosystem.
• MetamattercoreOthersAssociation member supporting DBpedia and contributing to the Open Knowledge Graph.

Scale indicators6 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• Stardog: Stardog is an enterprise knowledge graph platform that uses RDF/SPARQL and supports ontology-based reasoning — the same core technology stack DBpedia exposes publicly. It is a direct competitor in the enterprise KG tooling market.
• ConceptNet: ConceptNet is an open, multilingual knowledge graph focused on common-sense concepts and relations. It is often used alongside DBpedia in NLP and AI applications and shares the open-data, community-driven ethos.
• BabelNet: BabelNet is a multilingual semantic network combining Wikipedia and WordNet, used heavily in NLP research for entity linking and word-sense disambiguation. It overlaps directly with DBpedia Spotlight's entity-linking proposition.
• PoolParty Semantic Suite: PoolParty is a semantic middleware platform for taxonomy, ontology, and knowledge graph management. It competes for the same enterprise workloads — text enrichment, entity linking, linked data integration — that DBpedia addresses with its open tooling.

Broad incumbents

• Neo4j: Neo4j is the leading commercial graph database platform. While DBpedia is a knowledge graph (built on RDF/SPARQL), Neo4j's property-graph model and managed offerings serve the same enterprise customers building knowledge-graph applications.
• Ontotext GraphDB: Ontotext GraphDB is an enterprise RDF/SPARQL graph database and semantic middleware platform. It is a comparable incumbent in the same technology stack DBpedia uses to serve its public endpoints and enterprise-facing tools.
• Google Knowledge Graph: Google's Knowledge Graph powers search entities and is one of the largest closed knowledge graphs in production. It addresses the same enterprise use cases (entity resolution, structured facts) as DBpedia but at vastly greater scale and behind proprietary access.

Direct peers

• Diffbot: Diffbot operates a commercial web-scale knowledge graph built from crawled public web data and is itself a DBpedia Association member. It directly competes in entity extraction and structured knowledge provision while offering commercial SLAs DBpedia does not.
• Wikidata: Wikidata is a free, collaborative, multilingual knowledge base also extracted from structured data and directly feeds DBpedia. It is the closest comparable open knowledge graph project and shares much of DBpedia's community and governance philosophy.
• YAGO: YAGO is an academic open knowledge graph also derived from Wikipedia and WordNet, with strong type and temporal coverage. It targets the same research and entity-linking use cases as DBpedia and is frequently used as a complementary or alternative open KG.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/dbpedia
• Xx.com/dbpedia
• LinkedInlinkedin.com/company/dbpedia

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DBpedia