Reactive Programming with the Interpreter pattern, automated parsers.

Abstract

Reactive programming was popularized by Netflix, with a need for quick stream based processing, for a unified framework of event programming, with JavaX and the introduction of Beans for events and streams, a broad spectrum of applications for data driven, enterprise architectures, in the context of SaaS for a framework for many applications from ubiquitous computing to IIoT are described. This paper is on the formal automation of parsing in the three world scenario of CAS, OOPS and NLP, with a broad definition of algebras, programming languages and natural languages, for stream based event parsing. Keywords: CAS, OOPS, NLP, IIOT, ubiquitous computing, RxJava, Netflix, reactive Computing What: The interpreter design pattern is embedded in RxJava and RxJS to enable the parsing of arbitrary text files. We illustrate this with a SaaS based CDSS and Expert system, with the interpreter for parsing and automated persistence of Case Studies. How: We use an integrated SaaS based expert system using AWS for persistence and text mining. Pre processing is done by a RxJS based client web worker for pre-processing and parsing of case studies and persistence on AWS with Taskoids for rule creation and persistence. Why: The MetaECHO, of the University Of New Mexico is a knowledge democratization movement, to make available specialist practice based expert knowledge through online knowledge sharing and training. In an attempt to make specialist practice available through expert system based CDSS systems, Vayu Vaidya, a research organization, based in Seattle, WA, USA, and HIHT Dehradun, India, is in the process of creating AWS based expert systems to persist all the case studies, presented through the TeleECHO and MetaECHO program. So What: The expert system, with a conversational UI interface to a CDSS system, would make specialist knowledge available 24/7 to the medical community, coupled with the preventive medicine based risk evaluation and medical infotainment information available through Amazon Alexa and IFDB.