DocumentCode :
2192842
Title :
The design and implementation of a meaning driven data query language
Author :
Kapetanios, E. ; Baer, D. ; Groenewoud, P. ; Mueller, P.
Author_Institution :
Dept. of Comput. Sci., Swiss Fed. Inst. of Technol., Zurich, Switzerland
fYear :
2002
fDate :
2002
Firstpage :
20
Lastpage :
23
Abstract :
We present the design and implementation of a meaning driven data query language-MDDQL-which aims at the construction of queries through system made suggestions of natural language based query terms for both scientific application domain terms and operator/operation terms. A query construction blackboard is used where query language terms are suggested to the user in its preferred natural language and in a name centered way, together with their connotation. This helps in understanding the meaning of the terms and/or operators or operations to be included in the query. Furthermore, the construction of the query turns out to be an incremental refinement of the query under construction through semantic constraints, where only those domain language terms and/or operators/operations are suggested which result into meaningful combinations of query terms as related to the scientific application domain semantics. Therefore, semantically meaningless queries can be prevented during the query construction. Such a semantics aware mechanism is not available in conventional database query languages such as SQL, where one is allowed to execute a query calculating, for example, the average of numerical data values whereas they represent the codes of categorical values. Moreover no familiarity with the semantics of complex database schemes or interpretation of the symbols (names of classes/tables/attributes, value codes) underlying the storage model, as well as familiarity with the syntax of a database specific query language are needed by the end-user.
Keywords :
natural sciences computing; object-oriented databases; query languages; query processing; relational databases; vocabulary; SQL statements; data models; incremental query refinement; meaning driven data query language; natural language based query terms; object-relational Oracle DBMS; query construction blackboard; query interpretation and transformation engine; scientific application domain terms; semantic constraints; semantics aware mechanism; statistical software packages; Application software; Computer science; Data models; Database languages; Database systems; Engines; Natural languages; Ontologies; Software packages; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 2002. Proceedings. 14th International Conference on
ISSN :
1099-3371
Print_ISBN :
0-7695-1632-7
Type :
conf
DOI :
10.1109/SSDM.2002.1029702
Filename :
1029702
Link To Document :
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