<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ISA on STEM to STEAM</title><link>https://adamfermier.github.io/madsciguys/tags/isa/</link><description>Recent content in ISA on STEM to STEAM</description><generator>Hugo</generator><language>en</language><atom:link href="https://adamfermier.github.io/madsciguys/tags/isa/index.xml" rel="self" type="application/rss+xml"/><item><title>Paper on Glass: Digital Process Data Capture with S88/S95 Ontology Alignment</title><link>https://adamfermier.github.io/madsciguys/docs/4-arts/knowledge-management/ontological-semantics/s88-s95-opportunities/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://adamfermier.github.io/madsciguys/docs/4-arts/knowledge-management/ontological-semantics/s88-s95-opportunities/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;a class="td-heading-self-link" href="#abstract"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The &amp;ldquo;paper on glass&amp;rdquo; paradigm represents a transformative approach to industrial process documentation, where traditional paper-based records are digitally replicated while maintaining familiar workflows. This paper explores how such systems can be enhanced through alignment with established manufacturing ontologies, specifically ISA-88 (S88) batch control and ISA-95 (S95) enterprise-control integration standards, creating a unified framework for recipe management and process data capture.&lt;/p&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;a class="td-heading-self-link" href="#introduction"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Manufacturing industries have long relied on paper-based documentation for recipe management, batch records, and process data collection. The &amp;ldquo;paper on glass&amp;rdquo; concept digitizes these familiar interfaces while preserving the cognitive patterns operators have developed over decades. However, true digital transformation requires more than visual replication—it demands semantic alignment with standardized ontologies that enable interoperability, data consistency, and automated processing.&lt;/p&gt;</description></item></channel></rss>