Introducing SKYSET - a Quintuple Approach for Improving Instructions

TL;DR

SKYSET introduces a quintuple-based framework for transforming instructional documentation into standardized, domain-agnostic entities, enhancing completeness, reducing ambiguity, and enabling cross-domain information integration.

Contribution

It presents a novel quintuple approach that improves upon traditional triples, providing a standardized, portable, and searchable representation of instructional content.

Findings

Enables translation of instructions into standardized category entities.

Facilitates combining multiple domain documents into a unified table.

Reduces ambiguity and improves completeness of instructions.

Abstract

A new approach called SKYSET (Synthetic Knowledge Yield Social Entities Translation) is proposed to validate completeness and to reduce ambiguity from written instructional documentation. SKYSET utilizes a quintuple set of standardized categories, which differs from traditional approaches that typically use triples. The SKYSET System defines the categories required to form a standard template for representing information that is portable across different domains. It provides a standardized framework that enables sentences from written instructions to be translated into sets of category typed entities on a table or database. The SKYSET entities contain conceptual units or phrases that represent information from the original source documentation. SKYSET enables information concatenation where multiple documents from different domains can be translated and combined into a single common filterable and searchable table of entities.