IEML
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| This article, IEML, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
Comment: This draft does not establish that the subject technique is academically notable except as the current focus of Pierre Lévy. This draft contains information that is not in the article on Lévy, but not enough to warrant a separate article, especially since the references are to Lévy, and do not indicate that his work has drawn significant attention from other scholars. Robert McClenon (talk) 17:35, 25 July 2020 (UTC)
IEML (Information Economy Meta-Language) is an Open source artificial method to represent the semantic content of a linguistic sign. It was designed by Pierre Lévy as an Open collaboration project as part of his works on Collective intelligence [1] [2] [3] in order to encode meaning in a computer readable way. Its design is based on mathematics and logic abstractions but with a clear inspiration from the organic structure of natural languages.
Overview
The goal of the IEML system is to make real-world data machine-readable. It proposes a standard representation that enables the mapping of semantic representations with the data in a computer-friendly way.[4] [5]
IEML's design starts with a small amount of primary concepts are arranged in a matrix and composed together in order to create new and slightly more complex concepts, which can be arranged in a new matrix and composed to form even more complex ones, and so on. The arrangement in the form of a matrix and its fractal design make the representation easy to manipulate, quick when calculating the distance between concepts and simple to encode.[6] Each element in each matrix has a unique representation that easily indicates both its location and content.[7] To maintain the integrity of the system, every public submission must pass an automatic analogical verification and must be reviewed by a reliable reviewer before being incorporated or updated into the system.
Challenges
IEML bypasses important challenges of the Semantic web and other semantic representation systems such as vagueness, uncertainty, inconsistency.[8] [9] Some of the challenges for IEML include readability, annotation and adoption. Systems that use IEML must deal with these issues in order to work as intended.
- Readability: In order to be computer-readable and semantically connected the system cannot use linear representation, which makes it more difficult to be read by a human.
- Annotation: Until more advanced tools are implemented, annotation must be made manually.
- Adoption: In order to grow and improve, the system depends on having an increasing amount of users and submitters.
References
- ^ Le Deuff, Olivier (2018). Digital humanities: History and development. John Wiley & Sons. ISBN 9781786300164.
- ^ Szoniecky, Samuel; Hachour, Hakim; Bouhaï, Nasreddine (2011), "Générateur hypertextuel pour l'interprétation des médias sociaux dans une topologie sémantique", Les Cahiers du numérique 2011/3-4 (Vol. 7), pages 93 à 121 (in French), 7 (3), Lavoisier: 93–121
- ^ Schoder, Detlef; Gloor, Peter A.; Lévy, Panagiotis Takis (2013). "Social media and collective intelligence — ongoing and future research streams". KI-Künstliche Intelligenz. 27 (1): 9–15.
- ^ Guignard Legros, Virginie (4 March 2019). "L'IEML, le langage universel du futur". cursus.edu. Thot Cursus. Retrieved 1 August 2020.
- ^ Szoniecky, Samuel (13 December 2012). Évaluation et conception d’un langage symbolique pour l’intelligence collective :Vers un langage allégorique pour le Web (PhD) (in French). Université Paris VIII Vincennes-Saint Denis. Retrieved 1 August 2020.
- ^ Lévy, Pierre (26 March 2014). "IEML: A Project for a New Humanism. An interview with Pierre Lévy". CCCBLAB (Interview). Interviewed by Sandra Álvaro. Spain: Centre de Cultura Contemporània de Barcelona. Retrieved July 25, 2020.
- ^ Séminaire IEML - 2e séance, première partie [IEML seminar - 2nd session, first part] (digital recording) (in French). Canada: Internet Archive. October 9, 2019. Retrieved July 25, 2020.
- ^ Content, Rock (5 December 2019). "A linguagem que conecta humanos e máquinas". inteligencia.rockcontent.com. Inteligência Corporativa. Retrieved 1 August 2020.
- ^ Lévy, Pierre (26 May 2015). "How the Internet's Collective Human Intelligence Could Outsmart AI" (Interview). Interviewed by Jordan Pearson. United States: Vice. Retrieved 1 August 2020.