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https://github.com/machinalis/quepy

A python framework to transform natural language questions to queries in a database query language.
https://github.com/machinalis/quepy

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A python framework to transform natural language questions to queries in a database query language.

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README 

        
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What's quepy?

=============



Quepy is a python framework to transform natural language questions to queries

in a database query language. It can be easily customized to different kinds of

questions in natural language and database queries. So, with little coding you

can build your own system for natural language access to your database.



Currently **Quepy** provides support for

`Sparql `_ and

`MQL `_

query languages. 

We plan to extended it to other database query languages.



An example

==========



To illustrate what can you do with quepy, we included an example application to

access `DBpedia `_ contents via their `sparql` endpoint.



You can try the example online here: `Online demo `_



Or, you can try the example yourself by doing:



::



    python examples/dbpedia/main.py "Who is Tom Cruise?"



And it will output something like this:



.. code-block:: sparql



    SELECT DISTINCT ?x1 WHERE {

        ?x0 rdf:type foaf:Person.

        ?x0 rdfs:label "Tom Cruise"@en.

        ?x0 rdfs:comment ?x1.

    }

    

    Thomas Cruise Mapother IV, widely known as Tom Cruise, is an...



The transformation from natural language to sparql is done by first using a

special form of regular expressions:



.. code-block:: python



    person_name = Group(Plus(Pos("NNP")), "person_name")

    regex = Lemma("who") + Lemma("be") + person_name + Question(Pos("."))



And then using and a convenient way to express semantic relations:



.. code-block:: python



    person = IsPerson() + HasKeyword(person_name)

    definition = DefinitionOf(person)



The rest of the transformation is handled automatically by the framework to

finally produce this sparql:



.. code-block:: sparql



    SELECT DISTINCT ?x1 WHERE {

        ?x0 rdf:type foaf:Person.

        ?x0 rdfs:label "Tom Cruise"@en.

        ?x0 rdfs:comment ?x1.

    }



Using a very similar procedure you could generate and MQL query for the same question

obtaining:



.. code-block:: javascript



    [{

        "/common/topic/description": [{}],

        "/type/object/name": "Tom Cruise",

        "/type/object/type": "/people/person"

    }]



Installation

============



You need to have installed `docopt `_ and `numpy `_.

Other than that, you can just type:



::

    

    pip install quepy



You can get more details on the installation here:



``_



Learn more

==========



You can find a tutorial here:



``_



And the full documentation here:



``_



Join our `mailing list `_



Contribute!

===========



Want to help develop quepy? Welcome aboard! Find us in http://groups.google.com/group/quepy