Paper Info
Title
Advances in integrative statistics for logic programming.
Abstract
We present recent developments on the syntax of Real, a library for interfacing two Prolog systems to the statistical language R. We focus on the changes in Prolog syntax within SWI-Prolog that accommodate greater syntactic integration, enhanced user experience and improved features for web-services. We recount the full syntax and functionality of Real as well as presenting a full application and sister packages which include Prolog code interfacing a number of common and useful tasks that can be delegated to R. We argue that Real is a powerful extension to logic programming, providing access to a popular statistical system that has complementary strengths in areas such as machine learning, statistical inference and visualisation. Furthermore, Real has a central role to play in the uptake of semantic web, computational biology and bioinformatics as application areas for research in logic programming. Presents advances in Real, a bridge from AI language Prolog to R.Tighter syntactic integration creates a powerful programming paradigm.Combining strong knowledge representation with statistical prowess.A web-based musicology application highlights on-line deployments.Sister packages illustrate use of framework and introduces R to logic programmers.
Year
DOI
Venue
2016
10.1016/j.ijar.2016.06.008
Int. J. Approx. Reasoning
Keywords
Field
DocType
R statistical computing,Logic programming,Visualisation,Machine learning,Graph drawing,bioinformatics
Functional logic programming,Knowledge representation and reasoning,Programming language,Computer science,Constraint programming,Inductive programming,Semantic Web,Prolog,Artificial intelligence,Logic programming,Datalog,Machine learning
Journal
Volume
Issue
ISSN
78
C
0888-613X
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Nicos Angelopoulos15311.48
Samer Abdallah220.72
Georgios Giamas311.05