Author :
Padmanabhan, Raghav ; Nagy, George
Author_Institution :
ECSE Dept., RPI, Troy, NY
Abstract :
Querying any information system requires the knowledge of some formal language, making it inaccessible to computer-naive potential users. We propose a new intuitive querying mechanism where the query is a (well-formed) table. We extract the underlying logical structure of the table to retrieve values from a database. Query tables are interpreted to perform simple SELECT & JOIN operations. We demonstrate that query tables with different layouts but with the same underlying logical structure yield correct answers. This approach can be extended to form complicated conditional queries and queries involving aggregates.
Keywords :
formal languages; query languages; query processing; formal language; high level programming languages; information system; intuitive querying mechanism; query languages; query tables; Aggregates; Data mining; Database languages; Economic indicators; Formal languages; Information retrieval; Information systems; Ontologies; Relational databases; Springs;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761545