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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
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Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Generación de grafos de conocimiento y ontologías científicas utilizando grandes modelos de lenguaje abiertos

Alexandru Oarga1,2,3, Matthew Hart1,2,4, Andres M Bran1,2

  • 1Laboratory of Artificial Chemical Intelligence (LIAC), ISIC, EPFL Switzerland philippe.schwaller@epfl.ch.

Digital discovery
|February 25, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un nuevo método que utiliza grandes modelos de lenguaje (LLM) para crear automáticamente grafos de conocimiento (GC) y ontologías a partir de textos científicos. Este enfoque ayuda a estructurar datos científicos complejos, particularmente en campos emergentes como los catalizadores de átomos únicos (SAC).

Palabras clave:
grafos de conocimientoontologíasgrandes modelos de lenguajeprocesamiento del lenguaje naturalminería de datosliteratura científicarepresentación del conocimientointeligencia artificialquímica computacionalcatalizadores de átomos únicos

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