Towards an ODMG-Compliant Visual Object Query Language.

Manoj Chavda, Peter T. Wood: Towards an ODMG-Compliant Visual Object Query Language. VLDB 1997: 456-465
  author    = {Manoj Chavda and
               Peter T. Wood},
  editor    = {Matthias Jarke and
               Michael J. Carey and
               Klaus R. Dittrich and
               Frederick H. Lochovsky and
               Pericles Loucopoulos and
               Manfred A. Jeusfeld},
  title     = {Towards an ODMG-Compliant Visual Object Query Language},
  booktitle = {VLDB'97, Proceedings of 23rd International Conference on Very
               Large Data Bases, August 25-29, 1997, Athens, Greece},
  publisher = {Morgan Kaufmann},
  year      = {1997},
  isbn      = {1-55860-470-7},
  pages     = {456-465},
  ee        = {db/conf/vldb/ChavdaW97.html},
  crossref  = {DBLP:conf/vldb/97},
  bibsource = {DBLP,}


We describe the design, implementation and user evaluation of QUIVER, a graph-based visual query language for object databases. The design goals of QUIVER include compliance to standards, comprehensive representational power, and consistency of visual representation. Compliance to standards is achieved through QUIVER queries being translated to OQL, the standard query language proposed by the Object Data Management Group (ODMG). Comprehensive representational power is gained by QUIVER supporting a significant number of object database constructs, including objects, literals, attributes, relationships, structures, collections, operations, (aggregate) functions, and subqueries. Consistency of visual representation is pursued by assigning similar visual representations to constructs with similar functionality, as well as by minimising the use of text in QUIVER queries. The language is implemented as a visual front-end to the O2 object database system. Results of a user evaluation suggest that users find it easier to formulate correct queries in QUIVER than in OQL.

Copyright © 1997 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Online Paper

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Printed Edition

Matthias Jarke, Michael J. Carey, Klaus R. Dittrich, Frederick H. Lochovsky, Pericles Loucopoulos, Manfred A. Jeusfeld (Eds.): VLDB'97, Proceedings of 23rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece. Morgan Kaufmann 1997, ISBN 1-55860-470-7
Contents BibTeX

Electronic Edition

From CS Dept., University Trier (Germany)


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Referenced by

  1. Surya Nepal, M. V. Ramakrishna, James A. Thom: A Fuzzy Object Query Language (FOQL) for Image Databases. DASFAA 1999: 117-124
  2. Jeonghee Kim, Taisook Han, Suk Kyoon Lee: Visualization of Path Expressions in a Virtual Object-Oriented Database Query Language. DASFAA 1999: 99-108
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