Behavior Analysis of Semantic Data Models
Chirag Sharma1, Sandeep Kaur2
1Chirag Sharma, Computer Science Department, Lovely Professional University, Jalandhar, India.
2Sandeep Kaur, Computer Science Department, Lovely Professional University, Amritsar, India.
Manuscript received on May 01, 2012. | Revised Manuscript received on May 29, 2012. | Manuscript Published on June 10, 2012. | PP: 1-3 | Volume-1 Issue-1, June 2012. | Retrieval Number: A102051112/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There are many traditional models of database present now a days in the form of Hierarchical model, Network Model, Relational model. Since they offer many advantages in terms of data integrity, data storage and retrieval but there is a big disadvantage as compared to latest introduced database models i.e semantic models such as Sembase, SAM, RM/T. Our paper presents many disadvantages of Conventional or Traditional Database Models as compared to Semantic models and try to find the efficient solution of these disadvantages. This paper also presents performance evaluation factors of different semantic models.
Keywords: Database, Database models Traditional Models, Semantic Expressiveness, Abstraction, Objects, Normalization.