An algebra for Structured Queries in Bayesian Networks
Source:
LNCS, Volume 3493, Schloss Dagstuhl, Germany (2004)
Keywords:
piwowarski, selection
Abstract:
We present an algebra to represent structured information queries
which can be used in a Bayesian Network framework. This framework
allows us to consider content-only (CO) queries and content-and-
structure (CAS) queries. We perform the retrieval task using inference
in our network. The proposed model can adapt to a specific corpus
through parameter learning. Thanks to this algebra, the representation
of the information demand is independent from the structured query
language. It allows us to answer both vague and strict structured
queries.
