We present a system for Question Answering which computes a
prospective answer from Logical Forms produced by a full-fledged NLP for
text understanding, and then maps the result onto schemata in SPARQL to be
used for accessing the Semantic Web. As an intermediate step, and whenever
there are complex concepts to be mapped, the system looks for a corresponding
amalgam in YAGO classes. It is just by the internal structure of the Logical
Form that we are able to produce a suitable and meaningful context for concept
disambiguation. Logical Forms are the final output of a complex system for text
understanding - GETARUNS - which can deal with different levels of syntactic
and semantic ambiguity in the generation of a final structure, by accessing
computational lexical equipped with sub-categorization frames and appropriate
selectional restrictions applied to the attachment of complements and adjuncts.
The system also produces pronominal binding and instantiates the implicit
arguments, if needed, in order to complete the required Predicate Argument
structure which is licensed by the semantic component