Title :
Graph object oriented model and query language: a semi-structured approach
Author :
Choudhury, S. ; Chaki, N. ; Bhattarchary, S.
Author_Institution :
Dept. of Comput. Sci., Calcutta Univ., India
Abstract :
In an effort to design and develop a suitable platform for the next generation information systems, a new Graph Object Oriented database Model (GOOM) is proposed. In fact, the proposed model in its present definition is an improvement of our earlier work (S. Choudhury et al., 1998; 2000). The evolution is found to be absolutely essential in the interest of implementing the model and towards building a reliable Graph Query Language (GQL). We have introduced the concept of encapsulating homogeneous entities into semantic group while permitting the declaration of relationships amongst different semantic groups from various user-defined views. The proposed model aims at extracting the positive features of both object and relational data models besides providing a structured graphic representation. The paper emphasizes the mathematical foundation of the proposed graph language. In fact, the proposed GQL maintains a very similar interface to that of widely accepted SQL
Keywords :
data models; graph theory; object-oriented databases; programming language semantics; query languages; relational databases; visual languages; GOOM; GQL; Graph Object Oriented database Model; SQL; graph object oriented model; homogeneous entities; mathematical foundation; next generation information systems; object data models; query language; relational data models; reliable Graph Query Language; semantic group; semi-structured approach; structured graphic representation; user-defined views; Data mining; Data models; Data structures; Database languages; Feature extraction; Graphics; Information systems; Object oriented databases; Object oriented modeling; USA Councils;
Conference_Titel :
Information Technology: Coding and Computing, 2001. Proceedings. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-1062-0
DOI :
10.1109/ITCC.2001.918877