visual query formulation
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2016 ◽  
Vol 16 (2) ◽  
pp. 435-467 ◽  
Author(s):  
Ahmet Soylu ◽  
Martin Giese ◽  
Ernesto Jimenez-Ruiz ◽  
Evgeny Kharlamov ◽  
Dmitriy Zheleznyakov ◽  
...  


Author(s):  
Ahmet Soylu ◽  
Evgeny Kharlamov ◽  
Dmitriy Zheleznyakov ◽  
Ernesto Jimenez-Ruiz ◽  
Martin Giese ◽  
...  




Author(s):  
Ahmet Soylu ◽  
Martin Giese ◽  
Ernesto Jimenez-Ruiz ◽  
Evgeny Kharlamov ◽  
Dmitriy Zheleznyakov ◽  
...  


Author(s):  
Arijit Sengupta ◽  
Ramesh Venkataraman

This chapter introduces a complete storage and retrieval architecture for a database environment for XML documents. DocBase, a prototype system based on this architecture, uses a flexible storage and indexing technique to allow highly expressive queries without the necessity of mapping documents to other database formats. DocBase is an integration of several techniques that include (i) a formal model called Heterogeneous Nested Relations (HNR), (ii) a conceptual model XER (Extensible Entity Relationship), (ii) formal query languages (Document Algebra and Calculus), (iii) a practical query language (Document SQL or DSQL), (iv) a visual query formulation method with QBT (Query By Templates), and (v) the DocBase query processing architecture. This paper focuses on the overall architecture of DocBase including implementation details, describes the details of the query-processing framework, and presents results from various performance tests. The paper summarizes experimental and usability analyses to demonstrate its feasibility as a general architecture for native as well as embedded document manipulation methods.



Author(s):  
Ahmet Soylu ◽  
Martin G. Skjæveland ◽  
Martin Giese ◽  
Ian Horrocks ◽  
Ernesto Jimenez-Ruiz ◽  
...  


2011 ◽  
Vol 22 (4) ◽  
pp. 30-56
Author(s):  
Arijit Sengupta ◽  
Ramesh Venkataraman

This article introduces a complete storage and retrieval architecture for a database environment for XML documents. DocBase, a prototype system based on this architecture, uses a flexible storage and indexing technique to allow highly expressive queries without the necessity of mapping documents to other database formats. DocBase is an integration of several techniques that include (i) a formal model called Heterogeneous Nested Relations (HNR), (ii) a conceptual model XER (Extensible Entity Relationship), (ii) formal query languages (Document Algebra and Calculus), (iii) a practical query language (Document SQL or DSQL), (iv) a visual query formulation method with QBT (Query By Templates), and (v) the DocBase query processing architecture. This paper focuses on the overall architecture of DocBase including implementation details, describes the details of the query-processing framework, and presents results from various performance tests. The paper summarizes experimental and usability analyses to demonstrate its feasibility as a general architecture for native as well as embedded document manipulation methods.



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