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How to know exact name/URI of some entity in DBpedia?

In examples section for DBpedia article, there is an example query

PREFIX dbprop: <http://dbpedia.org/property/>
PREFIX db: <http://dbpedia.org/resource/>
SELECT ?who, ?WORK, ?genre WHERE { 
 db:Tokyo_Mew_Mew dbprop:author ?who .
 ?WORK  dbprop:author ?who .
 OPTIONAL { ?WORK dbprop:genre ?genre } .
}

about manga series Tokyo Mew Mew. But how would I know that its URI is

http://dbpedia.org/resource/Tokyo_Mew_Mew

and that the "author" property URI is

http://dbpedia.org/property/author

and so on?

Is there some search engine for these URIs or something?

To compare, in Wikidata project I can do search on their main site and deduce, that Tokyo Mew Mew URI postfix is Q392125, because is coincides with last part of Web URL.

How to do the same with DBpedia?

like image 557
Suzan Cioc Avatar asked Nov 20 '25 14:11

Suzan Cioc


1 Answers

In addition to Jeen Broekstra's fairly comprehensive answer, note that DBpedia information is extracted from Wikipedia data. In general, if there's a Wikipedia article with the name Foobar, with the URL

        https://en.wikipedia.org/wiki/Foobar,

then the corresponding DBpedia resource is

        http://dbpedia.org/resource/Foobar.

Browsing that interactively (noting that in the browser, you'll get redirected to a /page/ URL instead of the /resource/ URL), you can see the properties. There are three main families of properties:

  • Raw Infobox properties with the namespace http://dbpedia.org/property/, which are sort of "dirty", in the sense that they're just the raw data values. You might get some interconnected links, but mostly you'll have literal values, and those might not be normalized, sanitized, etc.
  • Infobox ontology properties with the namespace http://dbpedia.org/ontology/. These are the results of more sophisticated infobox mappings, and the data in these are much cleaner, and generally preferred over the raw infobox properties, if they are available.
  • Everything else. These tend to be from well known vocabularies, like Dublin Core, FOAF, RDFS, OWL, etc.
like image 82
Joshua Taylor Avatar answered Nov 22 '25 05:11

Joshua Taylor