Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the rocket domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/blumble/public_html/wp-includes/functions.php on line 6114
DBpedia Questions
All Web Images Videos News
Settings
Appearance
Site Icons
Font Size
Font
General
Infinite Scroll
Open Links in a New Tab
Safe Search
Related Questions
DBpedia is a fundamental part of the Linked Open Data cloud, interconnecting with other datasets to form a web of linked information. Developers can use DBpedia as a backbone for building diverse applications that rely on linked data, such as recommendation systems, cultural heritage preservation, smart data integration, and more. A: Accessing DBpedia is straightforward, and various methods are available to query and retrieve information from the dataset. Here are a few ways to access DBpedia:
Developers can programmatically access and integrate DBpedia into their applications using APIs. DBpedia provides APIs to retrieve information, search for entities, or obtain specific RDF data for individual resources. This approach allows for the seamless integration of DBpedia's structured data into custom applications and workflows. By extending the extraction process to
DBpedia's structured data can be used to perform advanced analytics, extract insights, and discover patterns. Researchers and data scientists can leverage this knowledge graph to gain valuable insights into countless domains. A: DBpedia opens up a wide range of possibilities for utilizing the knowledge contained within Wikipedia. The structured information extracted from Wikipedia articles can be employed in various ways, such as:
Popular Questions
What is DBpedia SPARQL? SPARQL (pronounced "sparkle" /ˈspɑːkəl/, a recursive acronym for SPARQL Protocol and RDF Query Language) is an RDF query language—that is, a semantic query language for databases—able to retrieve and manipulate data stored in Resource Description Framework (RDF) format.
How do I use SPARQL for DBpedia? Writing SPARQL. To actually query DBpedia, you can go to dbpedia.org/sparql and submit your query to return the results in a number of formats such as HTML, JSON or CSV. You can also run SPARQL on DBpedia from within a Python application but that will be covered in my next blog.
How do I search DBpedia? You can find a deployment of the generic entity retrieval service equipped with the DBpedia Lookup index at https://lookup.dbpedia.org. Another application example can be found on the DBpedia Databus website. In this case the Lookup service provides a search over the RDF-based website content.
Is DBpedia a database? From 2020, the DBpedia project provides a regularly updated database of web‑accessible ontologies written in the OWL ontology language.
Is DBpedia a reliable source? The DBpedia Ontology can also be queried via the DBpedia SPARQL endpoint and can be explored via the DBpedia Linked Data interface. Examples: Class Place, property elevation." For the API availability, DBpedia is the most reliable; its SPARQL endpoind is roughly available at every time.
What is the difference between Wikidata and DBpedia? DBpedia and Wikidata are two related and similar, but still very different, Linked Data projects, both built around Wikipedia. DBpedia's focus is on generating Linked Open Data from Wikipedia documents. Wikidata's focus is on creating Linked Open (meta)Data to supplement Wikipedia documents.
What is DBpedia used for? DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in the Wikipedia project. DBpedia allows users to semantically query relationships and properties of Wikipedia resources, including links to other related datasets.
Is DBpedia a knowledge base? The project extracts knowledge from 111 different language editions of Wikipedia. The largest DBpedia knowledge base which is extracted from the English edition of Wikipedia consists of over 400 million facts that describe 3.7 million things.
Is DBpedia an ontology? The DBpedia ontology is the heart of DBpedia. Having started as a manually created ontology based on the most commonly used infoboxes within Wikipedia in 2008, it soon evolved into a successful crowd-sourcing effort resulting in a shallow cross-domain ontology.
What is DBpedia dataset? DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in the Wikipedia project. DBpedia allows users to semantically query relationships and properties of Wikipedia resources, including links to other related datasets.
What is the difference between DBpedia and Wikidata? DBpedia and Wikidata are two related and similar, but still very different, Linked Data projects, both built around Wikipedia. DBpedia's focus is on generating Linked Open Data from Wikipedia documents. Wikidata's focus is on creating Linked Open (meta)Data to supplement Wikipedia documents.
How do I query DBpedia? You can ask queries against DBpedia using: the OpenLink Interactive SPARQL Query Builder (iSPARQL) at http://dbpedia.org/isparql; the SNORQL query explorer at http://dbpedia.org/snorql (does not work with Internet Explorer); or. any other SPARQL-aware client(s).
Is DBpedia same as Wikipedia? On one hand, DBpedia defines itself as “a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web” to allow users “to ask sophisticated queries against Wikipedia and to link the different data sets on the Web to Wikipedia data” 1.