Traditional versus Semantic

by Han C
The article compares the performance of queries done through different data models. It also talks about how SQL, a system developed back in the 70’s, is still a dominant interface language even twenty years later. I found it interesting because it explains the need for transitioning from traditional data models towards semantic models. Entity-relationship model being one of the semantic models.

At the end of the article, their experiment “confirmed that conceptual-level queries were formulated in 35 percent of the time it took for logical level queries. In addition, they were also 38 percent more accurate.” Users of the conceptual-level took less time to train and were more confident in using it.

Reference:
User-Database Interface: The Effect of Abstraction Levels on Query Performance
Hock Chuan Chan, Kwok Kee Wei and Keng Leng Siau
MIS Quarterly , Vol. 17, No. 4 (Dec., 1993), pp. 441-464
Published by: Management Information Systems Research Center, University of Minnesota
Article Stable URL: http://0-www.jstor.org.opac.library.csupomona.edu/stable/249587

1 thought on “Traditional versus Semantic”

  1. Interesting. I also read about the dominance of SQL and how it has been the standard for years. Makes me wonder what the new trend will be. NoSql is one of the new query languages that is being used today by large successful companies but it also has its disadvantages. These disadvantages is making most companies reluctant to incorporate NoSql into their systems but im sure that if large successful companies continue to use NoSQL and flourish other companies will follow.

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