Managing Derived Data in the Gaea Scientific DBMS.

@inproceedings{DBLP:conf/vldb/HachemQGW93,
  author    = {Nabil I. Hachem and
               Ke Qiu and
               Michael A. Gennert and
               Matthew O. Ward},
  editor    = {Rakesh Agrawal and
               Se{\'a}n Baker and
               David A. Bell},
  title     = {Managing Derived Data in the Gaea Scientific DBMS},
  booktitle = {19th International Conference on Very Large Data Bases, August
               24-27, 1993, Dublin, Ireland, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1993},
  isbn      = {1-55860-152-X},
  pages     = {1-12},
  ee        = {db/conf/vldb/HachemQGW93.html},
  crossref  = {DBLP:conf/vldb/93},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

One important aspect of scientific data management is metadata management. Metadata is information about data (e.g., content, source, processing applied,precision). One kind of metsdata which needs special attention is the data derivation information, i.e., how data are generated.

In our application domain of geographical information systems (GIS) and globalchange research, we view scientific objects according to three different extents: spatial, temporal, and derivation. While the spatial and temporal extents have been studied and formal semantics to those extents proposed, derivation semantics have been ignored.

This paper presents a framework for capturing and managing scientific data derivation histories as implemented in the Gaea scientific database management system. We focus on how Gaea handles metadata and propose to extend current semantic modeling and object-oriented technology with special constructs: concepts, processes, and tasks. Concepts are used to capture entity sets with imprecise definitions. A process captures the derivation procedure of a specific scientific object class, while a task is the instance representing the derivation of a scientific data object. We believe that this framework, useful for GIS and global change studies, generalizes well to other scientific fields.

Copyright © 1993 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.

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Referenced by

1. Terence R. Smith, Jianwen Su, Amitabh Saran: Virtual Structures - A Technique for Supporting Scientific Database Applications. ER 1994: 491-512