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.
Titolo: | Code 105867 Using a HMM based approach for mapping keyword queries into database terms |
Autori: | S., Bergamaschi; F., Guerra; M., Interlandi; S., Rota; R., Trillo; Velegrakis, Ioannis |
Autori Unitn: | |
Autore/i del libro: | AA. VV. |
Titolo del volume contenente il saggio: | Proceedings of the 21st Italian Symposium on Advanced Database Systems |
Luogo di edizione: | Reggio Calabria |
Casa editrice: | Universita Reggio Calabria and Centro di Competenza (ICT-SUD) |
Anno di pubblicazione: | 2013 |
Codice identificativo Scopus: | 2-s2.0-84903516428 |
ISBN: | 9781629939490 |
Handle: | http://hdl.handle.net/11572/100779 |
Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |