DocumentCode :
713912
Title :
Connected keywords
Author :
Smits, Gregory ; Pivert, Olivier ; Thion, Virginie
Author_Institution :
IRISA, Univ. of Rennes 1, Lannion, France
fYear :
2015
fDate :
13-15 May 2015
Firstpage :
112
Lastpage :
120
Abstract :
To improve the expressivity and accuracy of database query interfaces, a keyword-based constrained query language is introduced to let users explicitly express the intent of their search using keywords linked by meaningful grammatical connectives. Individually, keywords and connectives correspond to textual descriptions attached to components of the database graph schema, and as a whole, a so-called connected keywords query corresponds to a textual description of an SQL query. The translation process of such a query into SQL is mainly composed of two steps: first, the syntactic structure of the keyword query is analyzed to exhibit projection and selection statements using predefined graph patterns, then non explicit joins are deduced to obtain a complete translation of the keyword query as a meaningful connected subgraph. Experimentations show the relevance of the approach in terms of expressivity and efficiency.
Keywords :
SQL; graph theory; query processing; SQL query; connected keywords query; connected subgraph; database graph schema; database query interfaces; grammatical connectives; keyword-based constrained query language; predefined graph patterns; query translation process; Database languages; Databases; Joining processes; Motion pictures; Syntactics; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research Challenges in Information Science (RCIS), 2015 IEEE 9th International Conference on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/RCIS.2015.7128869
Filename :
7128869
Link To Document :
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