IEML: The Information Economy MetaLanguage

IEML is an acronym for Information Economy MetaLanguage. IEML is intended to become a standard for expressing semantic metadata.

IEML is the result of many years of fundamental research under the direction of professor Pierre Lévy, fourteen years of which were funded by the Canadian federal government through the Canada Research Chair in Collective Intelligence at the University of Ottawa (2002-2016). In 2021, IEML is the only metalanguage that has the following properties:

  • it has the semantic expressive power of a natural language
  • its semantics is unambiguous
  • it has the syntax of a regular language
  • Its semantics is computable because it is a function of its syntax

In other words, it is a “well-formed symbolic system”, which consists of a bijection between a set of relations between signifieds, or meanings (a language), and a set of relations between signifiers (an algebra). IEML expressions can be manipulated by a set of symmetrical and automatic operations. 

Image Christian Desjardins
IEML ontologies and labelling systems are interoperable by design.

On the basis of its unique properties, IEML can be used as a concept coding system that solves the problem of semantic interoperability in an original way, lays the foundations for a new generation of artificial intelligence and also leads the way toward a reflexive collective intelligence. IEML complies with Web standards and can be exported in RDF.

IEML expressions are called USLs (Uniform Semantic Locators). They can be read and translated into any natural language.

In a Nutshell
  • IEML provides a coordinate system for a common knowledge base that feeds both statistical calculations and automatic reasoning.
  • IEML supplies dataset labeling systems that improve Machine Learning.
  • IEML fulfills the promise of the Semantic Web through its computable meaning and interoperable ontologies.

IEML in this Website: Table of Content

Part 1: Introduction to IEML

Theoretical Principles

The Linguistic Roots of IEML

The Relations

The Query Language

IEML Advantages

Part 2: IEML Grammar

The Elements

IEML Paradigms

Examples of IEML Paradigms

The Phrases

Part 3: IEML Dictionary
Principal Ideas

Semantic Primitives

25 Basic Categories

Paradigms of Collective Intelligence

Themes of Collective Intelligence

Knowledge / Learning

Ethics / Sacred

Business / Economy

Communication / Creation

People / Personal Development

Things / Technology / Industry

Themes of Human Experience

Reflexive Cognition

IEML Linguistic Tools

Time / Change

Politics / Society

Emotions

World

Quantity / Measure

Life / Sensations

Space / Geography

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