DocumentCode
1059922
Title
A graph-based framework for multiparadigmatic visual access to databases
Author
Catarci, Tiziana ; Chang, Shi-Kuo ; Costabile, Maria F. ; Levialdi, Stefano ; Santucci, Giuseppe
Author_Institution
Dipartimento di Inf. e Sistemistica, Rome Univ., Italy
Volume
8
Issue
3
fYear
1996
fDate
6/1/1996 12:00:00 AM
Firstpage
455
Lastpage
475
Abstract
Describes an approach for multiparadigmatic visual access integration of different interaction paradigms. The user is provided with an adaptive interface augmented by a user model, supporting different visual representations of both data and queries. The visual representations are characterized on the basis of the chosen visual formalisms, namely forms, diagrams and icons. To access different databases, a unified data model called the “graph model” is used as a common underlying formalism to which databases, expressed in the most popular data models, can be mapped. Graph model databases are queried through the adaptive interface. The semantics of the query operations is formally defined in terms of graphical primitives. Such a formal approach permits us to define the concept of an “atomic query”, which is the minimal portion of a query that can be transferred from one interaction paradigm to another and processed by the system. Since certain interaction modalities and visual representations are more suitable for certain user classes, the system can suggest to the user the most appropriate interaction modality as well as the visual representation, according to the user model. Some results on user model construction are presented
Keywords
graph theory; graphical user interfaces; query languages; query processing; user modelling; visual languages; adaptive interface; atomic query; database access; diagrams; forms; graph model; graph-based framework; graphical primitives; heterogeneous databases; icons; interaction modalities; interaction paradigms; multiparadigmatic visual access; query operation semantics; user model construction; visual representations; Computer interfaces; Computer languages; Data mining; Data models; Database languages; Information systems; Job design; Remuneration; Transaction databases; Visual databases;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.506712
Filename
506712
Link To Document