LBL Perspective on statistical database management
Technical Report
·
OSTI ID:6518735
- ed.
The purpose of this document is to present a collective view of our research to outside researchers in statistical database management to facilitate communication and exchange of ideas in this new and exciting area. Two papers are in the General category, Arie Shoshani's survey of statistical database management research problems and John L. McCarthy et al.'s description of SEEDIS, a statistical database management system developed in CSAM. In User Interface, we selected Paul Chan and Arie Shoshani's paper on SUBJECT, a system that offers a directory driven interface to statistical data, and Harry K.T. Wong and Ivy Kuo's paper on GUIDE, a system using graphical user interface to complex databases for non-expert users. The SUBJECT paper describes some powerful modelling primitives for statistical summary data. In addition to the description of the system, the GUIDE paper also discusses the reasons why the current query systems fail to provide satisfactory interface to complex databases. The paper by Fred Gey describes the problems of data definitions of large statistical databases, citing real situations from the 1980 US Census data as examples. Deane Merrill's paper discusses more specific problems of handling statistical summary data, with emphasis on the problem and his solution of summary data aggregation and disaggregation. Peter Krep's paper describes a data model called semantic core model which contains useful modelling primitives for representing other semantic constructs. Modelling statistical databases is one of the major motivations of this work. The requirements of modelling metadata of statistical databases are given a thorough treatment in John L. McCarthy's paper.
- Research Organization:
- Lawrence Berkeley Lab., CA (USA)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 6518735
- Report Number(s):
- LBL-15393; ON: DE83005751
- Country of Publication:
- United States
- Language:
- English
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