Angelopoulos, N;
Abdallah, S;
Giamas, G;
(2016)
Advances in integrative statistics for logic programming.
International Journal of Approximate Reasoning
, 78
pp. 103-115.
10.1016/j.ijar.2016.06.008.
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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.
| Type: | Article |
|---|---|
| Title: | Advances in integrative statistics for logic programming |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ijar.2016.06.008 |
| Publisher version: | https://doi.org/10.1016/j.ijar.2016.06.008 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | R statistical computing, Logic programming, Visualisation, Machine learning, Graph drawing, bioinformatics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10065205 |
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