Title :
Hierarchical or relational? A case for a modern hierarchical data model
Author :
Jagadish, H.V. ; Lakshmanan, Laks V S ; Srivastava, Divesh
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
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. 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. We argue also that this model is well-suited for representing XML, and for interchange of information across heterogeneous databases
Keywords :
data models; distributed databases; electronic data interchange; hypermedia markup languages; relational databases; LDAP directories; XML; aggregation hierarchies; business data; datacubes; file systems; flat relational data model; heterogeneous databases; hierarchical data model; hierarchical organization; information interchange; library classification schemes; relational database context; yellow page categories; Computer aided software engineering; Data models;
Conference_Titel :
Knowledge and Data Engineering Exchange, 1999. (KDEX '99) Proceedings. 1999 Workshop on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-0453-1
DOI :
10.1109/KDEX.1999.836523