What is IEML?
- IEML (Information Economy MetaLanguage) is an open (GPL3) and free artificial metalanguage that is simultaneously a programming language, a pivot between natural languages and a semantic coordinate system. When data are categorized in IEML, the metalanguage compute their semantic relationships and distances.
- From a “social” point of view, on line communities categorizing data in IEML generate explorable ecosystems of ideas that represent their collective intelligence.
- Decompartmentalization of tags, folksonomies, taxonomies, ontologies and languages (french and english for now).
- Semantic search, automatic computing and visualization of semantic relations and distances between data.
- Giving back to the users the information that they produce, enabling reflexive collective intelligence.
- knowledge management
- curation of open data from museums and libraries, crowdsourced curation
- education, collaborative learning, connectionists MOOCs
- watch, intelligence
- smart cities
- collaborative teams
- communities of practice…
- artificial intelligence
- data analytics
- humanities and social sciences, digital humanities
- IEML users participate in the leading edge of digital innovation, big data analytics and collective intelligence.
- IEML can enhance other AI techniques like machine learning, deep learning, natural language processing and rule-based inference.
IEML v.0 includes…
- A dictionary of concepts whose edition is restricted to specialists but navigation and use is open to all.
- A library of tags – called USLs (Uniform Semantic Locators) – whose edition, navigation and use is open to all.
- An API allowing access to the dictionary, the library and their functionalities (semantic computing).
Intellect v.0 is a Twitter client (using the IEML API) that allows the categorization of data in IEML and their semantic computing.
Subsequent versions will address other social media.
Who made it?
The IEML project is designed and led by Pierre Lévy.
It has been financed by the Canada Research Chair in Collective Intelligence at the University of Ottawa (2002-2016).
At an early stage (2004-2011) Steve Newcomb and Michel Biezunski have contributed to the design and implementation (parser, dictionary). Christian Desjardins implemented a second version of the dictionary. Andrew Roczniak helped for the first mathematical formalization, implemented a second version of the parser and a third version of the dictionary (2004-2016).
The version 0 (2016) has been implemented by Louis van Beurden, Hadrien Titeux (chief engineers), Candide Kemmler (project management, interface), Zakaria Soliman and Alice Ribaucourt.
Dice sculpture by Tony Cragg