34 Result(s)
within
Joaquín Borrego-Díaz
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Article
Open AccessConcept learning consistency under three-way decision paradigm
Concept Mining is one of the main challenges both in Cognitive Computing and in Machine Learning. The ongoing improvement of solutions to address this issue raises the need to analyze whether the consistency o...
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Article
Open AccessExplainable Artificial Intelligence in Data Science
A widespread need to explain the behavior and outcomes of AI-based systems has emerged, due to their ubiquitous presence. Thus, providing renewed momentum to the relatively new research area of eXplainable AI ...
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Article
Open AccessKnowledge representation for explainable artificial intelligence
Alongside the particular need to explain the behavior of black box artificial intelligence (AI) systems, there is a general need to explain the behavior of any type of AI-based system (the explainable AI, XAI)...
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Chapter and Conference Paper
Estimating Re-identification Risk by Means of Formal Conceptualization
Risk-based methodologies for de-identification provide solutions to ensure privacy. These are based on the availability of sound metrics to estimate the risk of re-identification. Two issues associated with cl...
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Chapter and Conference Paper
Enabling Knowledge Extraction on Bike Sharing Systems Throughout Open Data
Bike Sharing Systems (BSS) have changed urban mobility patterns. Their study as part of the overall transport system in cities is attracting growing attention in recent years. Nevertheless, some deficiencies s...
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Article
Logic Negation with Spiking Neural P Systems
Nowadays, the success of neural networks as reasoning systems is doubtless. Nonetheless, one of the drawbacks of such reasoning systems is that they work as black-boxes and the acquired knowledge is not human ...
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Chapter
On Experimental Efficiency for Retraction Operator to Stem Basis
, introduce an implementation of an inference rule called “Independence Rule” which lets us reduce the size of knowledge basis based on the retraction problem. This implementation is made in a functional...
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Chapter and Conference Paper
Synthetizing Qualitative (Logical) Patterns for Pedestrian Simulation from Data
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 behavio...
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Chapter and Conference Paper
Modeling Lexicon Emergence as Concept Emergence in Networks
A model 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 ...
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Chapter and Conference Paper
iaBastos: An Intelligent Marketplace for Agricultural Products
In this paper we present a multi-agent platform designed to support p2p auctions on agricultural products. Experiments show that it could be feasible to integrate a platform, which is de-centralized by nature,...
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Chapter and Conference Paper
Towards a Soft Evaluation and Refinement of Tagging in Digital Humanities
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 ...
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Chapter and Conference Paper
Emergent Concepts on Knowledge Intensive Processes
An approach to refine and revise the general framework of KiP (Knowledge Intensive Process) is presented. The specific case of collaborative KiP is studied and the prominent role of collaborative KiPs in the g...
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Chapter and Conference Paper
Specifying and Verifying Meta-Security by Means of Semantic Web Methods
In order to achieve a systematic treatment of security protocols, organizations release a number of technical briefings for describing how security incidents have to be managed. These documents can suffer sema...
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Chapter and Conference Paper
Extending Qualitative Spatial Theories with Emergent Spatial Concepts
Qualitative Spatial Reasoning is an exciting research field of the Knowledge Representation and Reasoning paradigm whose application often requires the extension, refinement or combination of existent theories...
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Chapter and Conference Paper
Simulating Language Dynamics by Means of Concept Reasoning
A problem in the phenomenological reconstruction of Complex Systems (CS) is the extraction of the knowledge that elements playing in CS use during its evolution. This problem is important because such a knowle...
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Article
Agent-mediated shared conceptualizations in tagging services
Some of the most remarkable innovative technologies from the Web 2.0 are the collaborative tagging systems. They allow the use of folksonomies as a useful structure for a number of tasks in the social web, suc...
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Article
Complex concept lattices for simulating human prediction in sport
In order to address the study of complex systems, the detection of patterns in their dynamics could play a key role in understanding their evolution. In particular, global patterns are required to detect emerg...
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Chapter and Conference Paper
Qualitative Reasoning on Complex Systems from Observations
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...
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Chapter and Conference Paper
Semantic Geodemography and Urban Interoperability
Nowadays there exists an increasing interest on the use of the information collected by cities coming from different resources as data with dynamic nature like the one provided by sensor networks, as static da...
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Chapter and Conference Paper
On the Complexity of Shared Conceptualizations
In the Social Web, folksonomies and other similar knowledge organization techniques may suffer limitations due to both different users’ tagging behaviours and semantic heterogeneity. In order to estimate how a...
