DOI: 10.7763/IJCTE.2014.V6.917
Top-k Ranking with Membership Function for Deductive Database
Abstract—The objective of this research is to study top-k
ranking in the queries that are ambiguous. In this paper we
demonstrate our query answering strategy for ranking world
population for deductive data base. The cause of most problems
are wrong ranking because some questions have ambiguity such
as “Find the country which have the population between
1,500,000 and 3,000,000 people by the most densely population
is approximately 2,400,000 people.” This research proposes
top-k ranking technique using membership function to evaluate
and rank possible answers. We show comparative results for
each kind of membership function.
Index Terms—ER data mining, datalogtop-k, datalog,
deductive database.
The authors are with Computer Engineering School Suranaree University
of Technology, Nakhon Ratchasima 30000, Thailand (e-mail:
mikaiterng@gmail.com).
Cite:Keerachart Suksut, Pasapitch Chujai, Nittaya Kerdprasop, and Kittisak Kerdprasop, "Top-k Ranking with Membership Function for Deductive Database," International Journal of Computer Theory and Engineering vol. 6, no. 6, pp. 500-503, 2014.