Title :
Handling complex and uncertain information in the ExIFO and NF2 data models
Author :
Yazici, Adnan ; Buckles, Bill P. ; Petry, Fred E.
Author_Institution :
Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey
fDate :
12/1/1999 12:00:00 AM
Abstract :
Trends in databases leading to complex objects present opportunities for representing imprecision and uncertainty that were difficult to integrate cohesively in simpler database models. In fact, one can begin at the conceptual level with a model that allows uncertainty assumptions and then transform those assumptions into a logical model having the necessary semantic foundations upon which to base a meaningful query language. Here we provide such a constructive approach beginning with the ExIFO model for expression of the conceptual design then show how the conceptual design is transformed into the logical design (for which we utilize the extended NF2 logical database model). The steps are straightforward, unambiguous, and preserve the relevant information, including information concerning uncertainty
Keywords :
data models; database theory; fuzzy set theory; relational databases; uncertainty handling; ExIFO data model; NF2 data model; complex information; complex objects; extended NF2 logical database model; imprecision; logical design; logical model; query language; semantic foundations; uncertain information; Application software; Computer languages; Context modeling; Data models; Database languages; Fuzzy sets; Knowledge management; Noise measurement; Relational databases; Uncertainty;
Journal_Title :
Fuzzy Systems, IEEE Transactions on