//This is a project proposal for the 2015 Wikimedia hackathon.//
Increasing the accessibility of knowledge
Wikidata currently exports over 230 million RDF triples. DBpedia exports over three billion RDF triples. Using a graph database such as [[ http://www.blazegraph.com | Blazegraph ]], we can unlock the enormous power of [[ https://en.wikipedia.org/wiki/Linked_data | Linked Data ]] to make knowledge discoverable. But unlocking such power is not enough; it needs to be made accessible to non-expert users so that it can be put to work.
SPARQL is great, but it's hard, and it's generally not the native tongue in development envrionments.
In this project, we will create a Web application that allows users of varying levels of expertise to create, edit, revise, and share search templates that can be used to query linked data for information.
A user builds a query that takes a date and finds historical events that occurred on the same month/day. Another user uses the query on their news site to automatically show readers "what happened on this date in history", linking to other news articles.
A user builds a query that takes an academic subject (e.g. calculus) and finds related subjects (e.g. algebra, mechanics). Another user uses the query to build an application that suggests curricula that optimizes for completing prerequisites first.