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OptiqueVQS is a user interface to construct complex queries over data described by an ontology. It is important for a good user experience to adjust the interface based on the available underlying data. But complex queries over large amounts of data are expensive.
We want to approach this problem by using search technology like Lucene/SOLR indices to build fast and scalable backend support for the query interface.
OptiqueVQS is a user interface to construct complex queries over data described by an ontology. One of the challenges when the ontology is large, is to present possible options to the user in such a way that the most "important" or "relevant" choices are at the top of the list of choices.
We approach this by comparing the query built so far to a log of previously built queries.
Selecting relevant options then becomes similar to recommending movies or books based on users’ known preferences. But we can additionally make use of the graph structure of queries, and the type hierarchy in the ontology.