Original author(s) | Pierre Lévy |
---|---|
License | GPL-3.0 license |
Website | https://intlekt.io |
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. [4]
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. [5] [6]
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. [7] 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. [8] Each element in each matrix has a unique representation that easily indicates both its location and content. [9] 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.
IEML bypasses important challenges of the Semantic web and other semantic representation systems such as vagueness, uncertainty, inconsistency. [10] [11] 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. [12]
Original author(s) | Pierre Lévy |
---|---|
License | GPL-3.0 license |
Website | https://intlekt.io |
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. [4]
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. [5] [6]
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. [7] 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. [8] Each element in each matrix has a unique representation that easily indicates both its location and content. [9] 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.
IEML bypasses important challenges of the Semantic web and other semantic representation systems such as vagueness, uncertainty, inconsistency. [10] [11] 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. [12]