Advances in integrative statistics for logic programming

Angelopoulos, Nicos, Abdallah, Samer and Giamas, Georgios (2016) Advances in integrative statistics for logic programming. International Journal of Approximate Reasoning, 78. pp. 103-115. ISSN 0888-613X

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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.

Item Type: Article
Keywords: R statistical computing, Logic programming, Visualisation, Machine learning, Graph drawing, bioinformatics
Schools and Departments: School of Life Sciences > Biochemistry
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 15 Nov 2021 09:13
Last Modified: 15 Nov 2021 09:16
URI: http://sro.sussex.ac.uk/id/eprint/102838
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