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DBpedia

DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in the Wikipedia project. This structured information is made available on the World Wide Web using OpenLink Virtuoso. DBpedia allows users to semantically query relationships and properties of Wikipedia resources, including links to other…

History & Applications

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around DBpedia. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
Leipzig University · University of Mannheim
License
GNU General Public License
Release
10 January 2007 (19 years ago) (2007-01-10)
Repository
github.com/dbpedia/
Stable release
DBpedia 2016-10 / 4 July 2017
Type
Semantic Web · linked data

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Background

Dataset

Examples

Use cases

DBpedia Spotlight

Archivo ontology database

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

DBpedia

Nodes89
Edges88
Triples97
Avg. degree1.98
Density0.022472
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

DBpedia

Top relations

related to Use cases · 32
DBpedia → As, Bio2RDF, CIA World Factbook, DBLP, DBpedia Spotlight, DBtune Jamendo, Eurostat, Faviki, Freebase, GeoNames, IBM Watson's Jeopardy, Knowledge Sharing Platform, Linked Open Data, MusicBrainz, Open Data, OpenCalais, OpenCyc, Project Gutenberg, RDF, Samsung
related to DBpedia Spotlight · 18
DBpedia → Apache License, Berlin, Clients, DBpedia Spotlight, Free University, Instead, Internationalization, It, Java, Java/Scala API, June, PHP, The, The DBpedia Spotlight, This, Web, Web Based Systems Group, Wikipedia
related to Examples · 13
DBpedia → Data, For, Japanese, Koi Cupid, Mia Ikumi, RDF, Since DBpedia, SPARQL, SQL-like, Super Doll Licca-chan, Tokyo Mew Mew, Wikipedia, Wikipedia's
related to Archivo ontology database · 9
DBpedia → Archivo, As, For, From, June, Ontologies, OWL, SHACL, Web Ontology Language
related to Dataset · 6
DBpedia → English Wikipedia, For, From, RDF, Resource Description Framework, The
related to history · 6
DBpedia → Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, Sören Auer, Zachary Ives
Developers · 2
DBpedia → Leipzig University, University of Mannheim
Type · 2
DBpedia → linked data, Semantic Web
Written in · 2
DBpedia → Java, Scala
License · 1
DBpedia → GNU General Public License

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data information web wikipedia project also database spotlight structured use semantic datasets extracted available one million dataset links linked ontology

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
DBpediaDevelopersLeipzig University1.00infobox
DBpediaDevelopersUniversity of Mannheim1.00infobox
DBpediaLicenseGNU General Public License1.00infobox
DBpediaRelease10 January 2007 (19 years ago) (2007-01-10)1.00infobox
DBpediaRepositorygithub.com/dbpedia/1.00infobox
DBpediaStable releaseDBpedia 2016-10 / 4 July 20171.00infobox
DBpediaTypeSemantic Web1.00infobox
DBpediaTypelinked data1.00infobox
DBpediaWebsitedbpedia.org1.00infobox
DBpediaWritten inScala1.00infobox
DBpediaWritten inJava1.00infobox
Super Doll Licca-chaninstance ofMia Ikumi and on this author's works0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.