Title :
Logic programming and deductive databases for genomic computations: a comparison between Prolog and LDL
Author :
Wong, Wing-Kwong C.
Author_Institution :
Texas Univ., Austin, TX, USA
Abstract :
The artificial intelligence (AI) languages of logic programming and deductive databases are simple, powerful tools for genomic research. Their simplicity and power in solving the restriction mapping problem for probed partial experiments are demonstrated, and the more traditional Prolog language is compared with the newer logical data language (LDL). The comparisons are made with respect to procedural control, declarativeness, ease of code modification, and efficiency. While a Prolog program means logic plus control, an LDL program means logic plus little control because its compiler takes care of most of the control problem. While Prolog works top-down and is more efficient, LDL works bottom-up and is easier to use.
Keywords :
PROLOG; biology computing; cellular biophysics; deductive databases; logic programming; LDL; Prolog; Prolog language; artificial intelligent languages; declarativeness; deductive databases; ease of code modification; genomic computations; genomic research; logic programming; logical data language; procedural control; restriction mapping problem; Artificial intelligence; Bioinformatics; Computer interfaces; Computer languages; DNA; Deductive databases; Genomics; High performance computing; Humans; Logic programming; Program processors;
Conference_Titel :
System Sciences, 1993, Proceeding of the Twenty-Sixth Hawaii International Conference on
Print_ISBN :
0-8186-3230-5
DOI :
10.1109/HICSS.1993.270607