Revisiting the Hierarchical Data Model
Summary :
Much of the data we deal with every day is organized hierarchically: file systems, library classification schemes and yellow page categories are salient examples. Business data too, benefits from a hierarchical organization, and indeed the hierarchical data model was quite prevalent thirty years ago. Due to the recently increased importance of X. 500/LDAP directories, which are hierarchical, and the prevalence of aggregation hierarchies in datacubes, there is now renewed interest in the hierarchical organization of data. In this paper, we develop a framework for a modern hierarchical data model, substantially improved from the original version by taking advantage of the lessons learned in the relational database context. We argue that this new hierarchical data model has many benefits with respect to the ubiquitous flat relational data model.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.1 pp.3-12
- Publication Date
- 1999/01/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section INVITED PAPER (Special Issue on New Generation Database Technologies)
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
H. V. JAGADISH, Laks V. S. LAKSHMANAN, Divesh SRIVASTAVA, "Revisiting the Hierarchical Data Model" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 1, pp. 3-12, January 1999, doi: .
Abstract: Much of the data we deal with every day is organized hierarchically: file systems, library classification schemes and yellow page categories are salient examples. Business data too, benefits from a hierarchical organization, and indeed the hierarchical data model was quite prevalent thirty years ago. Due to the recently increased importance of X. 500/LDAP directories, which are hierarchical, and the prevalence of aggregation hierarchies in datacubes, there is now renewed interest in the hierarchical organization of data. In this paper, we develop a framework for a modern hierarchical data model, substantially improved from the original version by taking advantage of the lessons learned in the relational database context. We argue that this new hierarchical data model has many benefits with respect to the ubiquitous flat relational data model.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_1_3/_p
Copy
@ARTICLE{e82-d_1_3,
author={H. V. JAGADISH, Laks V. S. LAKSHMANAN, Divesh SRIVASTAVA, },
journal={IEICE TRANSACTIONS on Information},
title={Revisiting the Hierarchical Data Model},
year={1999},
volume={E82-D},
number={1},
pages={3-12},
abstract={Much of the data we deal with every day is organized hierarchically: file systems, library classification schemes and yellow page categories are salient examples. Business data too, benefits from a hierarchical organization, and indeed the hierarchical data model was quite prevalent thirty years ago. Due to the recently increased importance of X. 500/LDAP directories, which are hierarchical, and the prevalence of aggregation hierarchies in datacubes, there is now renewed interest in the hierarchical organization of data. In this paper, we develop a framework for a modern hierarchical data model, substantially improved from the original version by taking advantage of the lessons learned in the relational database context. We argue that this new hierarchical data model has many benefits with respect to the ubiquitous flat relational data model.},
keywords={},
doi={},
ISSN={},
month={January},}
Copy
TY - JOUR
TI - Revisiting the Hierarchical Data Model
T2 - IEICE TRANSACTIONS on Information
SP - 3
EP - 12
AU - H. V. JAGADISH
AU - Laks V. S. LAKSHMANAN
AU - Divesh SRIVASTAVA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 1999
AB - Much of the data we deal with every day is organized hierarchically: file systems, library classification schemes and yellow page categories are salient examples. Business data too, benefits from a hierarchical organization, and indeed the hierarchical data model was quite prevalent thirty years ago. Due to the recently increased importance of X. 500/LDAP directories, which are hierarchical, and the prevalence of aggregation hierarchies in datacubes, there is now renewed interest in the hierarchical organization of data. In this paper, we develop a framework for a modern hierarchical data model, substantially improved from the original version by taking advantage of the lessons learned in the relational database context. We argue that this new hierarchical data model has many benefits with respect to the ubiquitous flat relational data model.
ER -
English
