Using a HMM based approach for mapping keyword queries into database terms

Sonia Bergamaschi, Francesco Guerra, Matteo Interlandi, Silvia Rota, Raquel Trillo, Yannis Velegrakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Systems translating keyword queries into SQL queries over relational databases are usually referred to in the literature as schema-based approaches. These techniques exploit the information contained in the database schema to build SQL queries that express the intended meaning of the user query. Besides, typically, they perform a preliminary step that associates keywords in the user query with database elements (names of tables, attributes and domain attributes). In this paper, we present a probabilistic approach based on a Hidden Markov Model to provide such mappings. In contrast to most existing techniques, our proposal does not require any a-priori knowledge of the database extension.

Original languageEnglish
Title of host publication21st Italian Symposium on Advanced Database Systems, SEBD 2013
PublisherUniversita Reggio Calabria and Centro di Competenza (ICT-SUD)
Pages239-246
Number of pages8
ISBN (Print)9781629939490
Publication statusPublished - 1 Jan 2013
Event21st Italian Symposium on Advanced Database Systems, SEBD 2013 - Roccella Jonica, Reggio Calabria, Italy
Duration: 30 Jun 20134 Jul 2013

Publication series

Name21st Italian Symposium on Advanced Database Systems, SEBD 2013

Other

Other21st Italian Symposium on Advanced Database Systems, SEBD 2013
CountryItaly
CityRoccella Jonica, Reggio Calabria
Period30/6/134/7/13

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ASJC Scopus subject areas

  • Software

Cite this

Bergamaschi, S., Guerra, F., Interlandi, M., Rota, S., Trillo, R., & Velegrakis, Y. (2013). Using a HMM based approach for mapping keyword queries into database terms. In 21st Italian Symposium on Advanced Database Systems, SEBD 2013 (pp. 239-246). (21st Italian Symposium on Advanced Database Systems, SEBD 2013). Universita Reggio Calabria and Centro di Competenza (ICT-SUD).