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Mostrando ítems 11-20 de 28
Ponencia
Modeling Lexicon Emergence as Concept Emergence in Networks
(Springer, 2015)
Amodel for lexicon emergence in social networks is presented. The model is based on a modified version of classic Naming Games, where agents’ knowledge is represented by means of formal contexts. That way it is possible ...
Ponencia
Towards a Soft Evaluation and Refinement of Tagging in Digital Humanities
(Springer, 2015)
In this paper we estimate the soundness of tagging in digital repositories within the field of Digital Humanities by studying the (semantic) conceptual structure behind the folksnonomy. The use of association rules ...
Ponencia
Confidence-Based Reasoning with Local Temporal Formal Contexts
(Springer, 2011)
Formal Concept Analysis (FCA) is a theory whose goal is to discover and to extract Knowledge from qualitative data. It provides tools for reasoning with implication basis (and association rules). In this paper we analyse ...
Artículo
Towards a Notion of Basis for Knowledge-Based Systems—Applications
(MDPI, 2021)
In the paradigm of Knowledge-Based Systems (KBS), the design of methods to simplify the reasoning leads to more efficient processes. A point of view that provides valuable insights is the algebraic one. In this work, a ...
Ponencia
Urban Knowledge Extraction, Representation and Reasoning as a Bridge from Data City towards Smart City
(IEEE Computer Society, 2016)
Urban Data management represents a major challenge in the field of Smart Cities. Its understanding is essential for the development of better smart services, which are a persistent demand in urban policies. From all the ...
Ponencia
Qualitative Reasoning on Complex Systems from Observations
(Springer, 2013)
A hybrid approach to phenomenological reconstruction of Complex Systems (CS), using Formal Concept Analysis (FCA) as main tool for conceptual data mining, is proposed. To illustrate the method, a classic CS is ...
Ponencia
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
(PHM Society, 2021)
his paper presents the data-driven techniques and method ologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature. The solution presented is based ...
Artículo
Extracción y organización del conocimiento de etiquetados. Aplicación a etiquetados en repositorios digitales sobre arte
(Seminario Interdisciplinar para el Estudio de la Literatura Áurea Española, 2014)
Ponencia
Pedestrian Behavior Mining from Data
(University of York, UK, 2015)
A general -observation-based- qualitative framework to extract agent-based pedestrian behavior is presented. To extract qualitative rules from data we use tools, from Formal Concept Analysis, for implicational reasoning.
Ponencia
Synthetizing Qualitative (Logical) Patterns for Pedestrian Simulation from Data
(Springer, 2016)
This work introduces a (qualitative) data-driven framework to extract patterns of pedestrian behaviour and synthesize Agent-Based Models. The idea consists in obtaining a rule-based model of pedestrian behaviour by means ...