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From Social Computing to Reflexive Collective Intelligence:
The IEML Research Program
Prof. Pierre Lévy, CRC, FRSC, University of Ottawa
31/07/2009
Abstract
The IEML research program promotes a radical innovation in the notation and processing of seman-
tics. IEML (Information Economy MetaLanguage) is a regular language that provides new methods for
semantic interoperability, semantic navigation, collective categorization and self-referential collective in-
telligence. This research program is compatible with the major standards of the Web of data and is in
tune with the current trends in social computing.
The paper explains the philosophical relevance of this new language, expounds its syntactic and seman-
tic structures and ponders its possible implications for the growth of collective intelligence in cyberspace.
Keywords : collective intelligence, IEML, semantic space, semantic tagging, semantic interoperability,
translation, metalanguage, Web of data, philosophy.
Introduction
Collective Intelligence (CI) is the capacity of human collectives to engage in intellectual cooperation in
order to create, innovate and invent [42, 68, 71]. It can be applied at any scale, from work teams to huge
networks or even to our whole species. Collective Intelligence is a determining factor in competitiveness,
creativity and human development in a knowledge based economy, or in an information economy. The
more our society depends on the creative management of knowledge the more this capacity becomes of
fundamental importance [3]. There is a growing feeling that there exists a strong correlation between
communities collective intelligence and the degree of their human development. CI can be seen as a
driving for
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