- 1,077 categories
- 2,979 attributes
- 4,204,060 things
- 25,262,740 values
You can specify multiple search terms, seperated by spaces. If all of these are found, the results are shown.
To exclude search terms, prepend them with a dash (-text).
Search is case insensitive.
The search is language-aware (English only) and does some magic with stopwords and stemming.
To see details about the implementation, visit the docs of the underlying database mongoDB.
(All words are automatically surrounded with quotes so it becomes a match-all instead of match-any)
Try out some of these categories:
You can download the dataset at the Download page.
About the data
The data values on this site origin from a recent DBpedia dataset, which in turn is for the greatest part based on extraced values from Wikipedia article infoboxes. It is available on databus.dbpedia.org.
Additionally, the categories were partly restructurized and organized for better discovery. It is right now limited to English values only.
Another alternative dataset could be Wikidata, e.g. see a rough list of cats. Both datasets are significantly different, and Wikidata is arguably a bit of higher quality, extent and growth. That is why the next big step for Produpedia might be to become a dedicated interface for Wikidata, as it also allows for editing. Collaboration on values was one of the primary movtivations for Produpedia but that idea was somewhat suspended because Wikidata comes pretty close.
About the site
When in a list view (table), the URL updates whenever you change filters, sorters, columns or rows. This means you can create a search configuration and easily share the link with others. Columns are draggable and resizable in width. On desktop computers, you can also scroll horizontally by dragging around just like on mobile.
Please expect errors and large gaps in the data – it is far from perfect, yet still very useful depending on your use case. The completeness varies from category to category. Also, the tables contain only values from the cleaned "mappings" dataset, not from "generic". For example, Gummy bear does not list the attributes "carbs", "fat", "kj", "protein" and "sugars" from https://dbpedia.org/page/Gummy_bear. That is because these "dbr:"-categories are not organized and typically of low quality.
There is a public API that you can use. Its syntax is not yet super stable, but feel free to query it directly in fair usage (this project is merely hosted on a weak single-core server). For large/frequent computations, please get the database mirror above and work with it locally.
The API's syntax is equal to the frontend one. This means that from any visible url beneath
/list, you can simply replace the host
api.produpedia.org and should be good to go. Other interesting endpoints are
GET /category and
GET /attribute?category=[categoryName], respectively. Check your browser's network tab for XHR requests if interested.