[HN Gopher] DBpedia Ontology
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       DBpedia Ontology
        
       Author : belter
       Score  : 58 points
       Date   : 2022-12-21 12:19 UTC (10 hours ago)
        
 (HTM) web link (www.dbpedia.org)
 (TXT) w3m dump (www.dbpedia.org)
        
       | yourapostasy wrote:
       | I wonder how much cross-pollination with Cyc [1] can be
       | performed, and how DBpedia's ~5M terms can be compared to Cyc's
       | ~25M assertions?
       | 
       | [1] https://en.wikipedia.org/wiki/Cyc
        
         | [deleted]
        
       | danbruc wrote:
       | Am I misunderstanding something or are DBpedia and Wikidata
       | essentially trying to do the same thing?
        
         | zozbot234 wrote:
         | They're not the same thing. DBPedia is trying to extract
         | structured information from the existing versions of Wikipedia,
         | which are segregated by language and licensed under CC-by-sa.
         | Wikidata is a newer project focused on providing high-quality
         | structured data from scratch (labeled in any natural language),
         | with a CC-0 license that's as close as legally possible to
         | releasing them into the public domain.
        
           | macrolime wrote:
           | DBPedia is extracting data from infoboxes in Wikipedia, but
           | increasingly Wikidata is the source of the data in the
           | infoboxes.
        
       | dr_dshiv wrote:
       | Is there a good example of what this is useful for? I'd love to
       | see examples of where it is used. What does it do?
        
       | nerdponx wrote:
       | I've seen a handful of threads and articles in the last year or
       | so about knowledge graphs, but I still don't understand what
       | they're used for.
       | 
       | I understand the idea, I think, but I don't know what problems
       | they actually solve. When would I want to consider building a
       | knowledge graph, or using an existing one in a project?
        
         | nighthawk454 wrote:
         | I think they can be good for factual queries and entity
         | relations. One example is the Google Knowledge Graph which they
         | use in Search [1].
         | 
         | [1] https://en.wikipedia.org/wiki/Google_Knowledge_Graph
        
           | dr_dshiv wrote:
           | It feels a bit like a GOFAI way to teach machines to play
           | chess-- through hand-organized human knowledge versus more
           | successful approaches that rely on computational scale. At
           | the same time, it feels like it could give large language
           | models a sense of "truth."
        
         | lufte wrote:
         | I would say they are useful, specially against a relational
         | database, when you have a ever-growing or dynamic amount of
         | different entity types that are all related between each other.
         | With a knowledge graph you only don't need to create new tables
         | every time you define new entity types, you also can give
         | semantic meaning to the relationships between them.
        
       | jraph wrote:
       | Related: Ontolex [1], an ontology for lexicons.
       | 
       | Which DBnary [2], an RDF extract of the Wiktionary, uses. I
       | worked on it almost 10 years ago during an internship during
       | which I added support for extracting French inflections in the
       | DBnary extractor. A colleague did German. It increased the size
       | of DBnary a lot so it was an optional feature. I don't know the
       | status of the project today. Back then, DBnary was based on the
       | Lemon ontology, which apparently Ontolex extends and Ontolex is
       | now a W3C standard, yay!
       | 
       | I don't quite use such ontologies in my daily life knowingly, but
       | I find them fascinating for some unknown reasons.
       | 
       | [1] https://www.w3.org/2016/05/ontolex/
       | 
       | [2] http://kaiko.getalp.org/about-dbnary/
        
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       (page generated 2022-12-21 23:01 UTC)