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DBpedia Spotlight is a tool for annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. DBpedia Spotlight can be used for Named Entity Recognition, Name Resolution, amongst other information extraction tasks.

This is a list of publications about DBpedia Spotlight. We keep elsewhere a list of other papers that have used DBpedia Spotlight.

Wikipedia users constantly revise Wikipedia articles with updates happening almost each second. Hence, data stored in the official DBpedia endpoint can quickly become outdated, and Wikipedia articles need to be re-extracted. DBpedia-Live enables such a continuous synchronization between DBpedia and Wikipedia.

DBpedia is a project aiming to extract structured information from the information created as part of the Wikipedia project. This structured information is then made available on the World Wide Web. DBpedia allows users to query relationships and properties associated with Wikipedia resources, including links to other related datasets. DBpedia has been described by Tim Berners-Lee as one of the more famous parts of the Linked Data project.

DBpedia Spotlight dbpedia-spotlight

wiki contains the infobox-to-ontology and the table-to-ontology mappings which are used by the DBpedia extraction framework as well as the ontology definition itself. The framework collects the templates defined in this Wiki and extracts the Wikipedia content according to them (As of March 2010, only the dump extraction uses the mappings. DBpedia Live is going to follow shortly).

DBpedia is a great and active project dealing with structured data and Wikipedia. Whereas on the first glance DBpedia and Wikidata may look like they have a lot of overlap, they actually do not: they fulfill very different tasks, and there is a small overlap where we need to figure out together how to best co-evolve.

"Querying Wikipedia like a Semantic Database DBpedia is a community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data."

DBpedia.org is a project aiming to extract structured information from the information creadted as part of the Wikipedia project. This structured information is then made available on the World Wide Web.

SPARQL Explorer for http://dbpedia.org/sparql

The DBpedia Ontology is a shallow, cross-domain ontology, which has been manually created based on the most commonly used infoboxes within Wikipedia. The ontology currently covers over 272 classes which form a subsumption hierarchy and are described by 1,300 different properties.

The new DBpedia data set describes more than 3.64 million things, of which 1.83 million are classified in a consistent ontology, including 416,000 persons, 526,000 places, 106,000 music albums, 60,000 films, 17,500 video games, 169,000 organizations, 183,000 species and 5,400 diseases.

demo DBpedia

"SPARQL Explorer for http://dbpedia.org/sparql"

This API provides a simple way to access information about people held in the Dbpedia 3.6 dataset. Currently the API supports the following requests: /people - List all people /people/artists - List all artists /people/athletes - List all athletes /people/scientists - List all scientists /people/writers - List all writers The API conforms to the Linked Data API specification so supports multiple output options including simple JSON and XML formats, as well as standard RDF serializations.

Shedding Light on the Web of Documents This is the main page for the DBpedia Spotlight documentation. Some shortcuts are presented below ..

Linked Data is a method to publish data on the Web and to interlink data between different data sources. Linked Data can be accessed using Semantic Web browsers, just as traditional Web documents are accessed using HTML browsers. However, instead of following document links between HTML pages, Semantic Web browsers enable surfers to navigate between different data sources by following RDF links. RDF links can also be followed by robots or Semantic Web search engines in order to crawl the Semantic Web. See Linked Data - The Story so far and How to publish Linked Data on the Web for more information about Linked Data.

"KBpedia is a computable knowledge structure that combines six (6) public knowledge bases - Wikipedia, Wikidata, OpenCyc, GeoNames, DBpedia and UMBEL - into an integrated whole. The knowledge graph that organizes this computable framework is the KBpedia Knowledge Ontology (KKO). KBpedia is the entirety of the combined knowledge bases; KKO is the schema by which these combined sources are made coherent.[1]"