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Advances in integrative statistics for logic programming
- Source :
- International Journal of Approximate Reasoning. 78:103-115
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
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.
- Subjects :
- 0301 basic medicine
Knowledge representation and reasoning
Computer science
Programming language
Functional logic programming
Applied Mathematics
02 engineering and technology
computer.software_genre
Inductive programming
Theoretical Computer Science
Datalog
Prolog
03 medical and health sciences
030104 developmental biology
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Constraint programming
020201 artificial intelligence & image processing
Semantic Web
computer
Software
Logic programming
computer.programming_language
Subjects
Details
- ISSN :
- 0888613X
- Volume :
- 78
- Database :
- OpenAIRE
- Journal :
- International Journal of Approximate Reasoning
- Accession number :
- edsair.doi...........e1d9f8db75ddef7bfd33c3c0fbefeb49
- Full Text :
- https://doi.org/10.1016/j.ijar.2016.06.008