ROSS User's Guide and Reference Manual (Version 1.0)

TL;DR

ROSS is a novel knowledge representation approach using a 4D physical symbol-based scheme and a specialized language, enabling detailed modeling of structures, processes, and causality for AI and natural language understanding.

Contribution

The paper introduces the ROSS method, a comprehensive 4D physical symbol-based representation scheme with a new language for ontology and instance modeling.

Findings

Provides a formal specification of the ROSS method

Demonstrates ROSS's applicability to natural language meaning representation

Establishes a new framework for modeling physical structures and processes

Abstract

The ROSS method is a new approach in the area of knowledge representation that is useful for many artificial intelligence and natural language understanding representation and reasoning tasks. (ROSS stands for "Representation", "Ontology", "Structure", "Star" language). ROSS is a physical symbol-based representational scheme. ROSS provides a complex model for the declarative representation of physical structure and for the representation of processes and causality. From the metaphysical perspective, the ROSS view of external reality involves a 4D model, wherein discrete single-time-point unit-sized locations with states are the basis for all objects, processes and aspects that can be modeled. ROSS includes a language called "Star" for the specification of ontology classes. The ROSS method also includes a formal scheme called the "instance model". Instance models are used in the area of natural language meaning representation to represent situations. This document is an in-depth specification of the ROSS method.