I’ve recently been experimenting with ways to provide simpler structured searching/querying to ‘normal’ web users (i.e. not techies). Sparql/SQL querying doesn’t cut it here - we need something simpler.
One approach I’ve been trying is allowing simple query constraints in with the text search facility. Using the proximity searching capability JAM*VAT then finds a collection of […]
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Using a relational database as a triplestore backend has a number of advantages - one of which is leveraging features of the backend SQL support with very little effort.
I’ve recently added a whole bunch of functionality to ttql (the experimental query language that JAM*VAT uses for querying). These include:
SQL (mysql) numeric and string functions […]
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Danny! Here’s another
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It’s just occurred to me that I never posted about the proximity search capability that I built into JAM*VAT about 3 months ago.
It works by looking for symbols in close proximity. E.g. searching for ‘Danny Ayers Blog‘ yields an answer ‘raw’, even though the word isn’t in the search string. This is because the ‘raw’ […]
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JAM*VAT is now mature enough that it handles relational operations over large amounts of aggregated structured data quickly and scalably, and also provides very fast regex text search operations (due to its inbuilt suffix array implementation).
However one area where it doesn’t perform very well is in handling dates and numbers. E.g if you aggregated 10000 […]
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