A Functional Inference System for the Web
Laurent Thiry, Mariem Mahfoudh, Michel Hassenforder
International Journal of Web Applications, Vol. 6, No. 1, 2014.
DOI: 
Link: http://www.dline.info/ijwa/fulltext/v6n1/1.pdf
Abstract:
This paper explains how functional programming (FP) helps to integrate both theoretical and technological models by using generic datatypes and higher-order functions. As an application, the paper considers the domains of knowledge modeling and web technologies. More precisely, it explains how FP can be used to infer and to generate web pages from a graph based datamodel, or to embed a query language (helpful to search for a precise information). It then shows how the concepts lead to a generic platform dedicated to knowledge sharing and searching with an application to the CCAlps European project.