An Algebra for Structured Queries in Bayesian Networks

Abstract : We present a system based on a Bayesian Network formalism for structured documents retrieval. The parameters of this model are learned from the document collection (documents, queries and assessments). The focus of the paper is on an algebra which has been designed for the interpretation of structured information queries and can be used within our Bayesian Network framework. With 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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01520647
Contributor : Lip6 Publications <>
Submitted on : Wednesday, May 10, 2017 - 4:50:50 PM
Last modification on : Thursday, March 21, 2019 - 2:32:43 PM

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Jean-Noël Vittaut, Benjamin Piwowarski, Patrick Gallinari. An Algebra for Structured Queries in Bayesian Networks. 3rd Workshop of the INitiative for the Evaluation of XML Retrieval (INEX'04), Dec 2004, Dagstuhl, Germany. pp.100-112, ⟨10.1007/11424550_9⟩. ⟨hal-01520647⟩

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