Formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures

The tendency in industry, manufacturing, and agriculture nowadays goes towards adopting the Industry 4.0 practices. Additionally, Internet of Things (IoT) has seen a huge increase in its usage over the last decade, and companies are eager to profit from the advantages it has offers. Between these te...

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Autor principal: Leutwyler, Nicolás
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Informáticas
mathematical models
cyber-physical systems
data layer
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/158885
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-158885
record_format dspace
spelling I19-R120-10915-1588852023-10-12T20:01:41Z http://sedici.unlp.edu.ar/handle/10915/158885 Formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures Leutwyler, Nicolás 2022 2023 2023-10-12T17:44:58Z en Ciencias Informáticas mathematical models cyber-physical systems data layer The tendency in industry, manufacturing, and agriculture nowadays goes towards adopting the Industry 4.0 practices. Additionally, Internet of Things (IoT) has seen a huge increase in its usage over the last decade, and companies are eager to profit from the advantages it has offers. Between these tendencies, the usage of data as a means to increase productivity, or similarly, to minimize loss in production is found. In those lines, Formal Concept Analysis (FCA) is a clusterization method whose output is based on patterns of concepts (sets of objects and attributes). Some extensions such as Relational Concept Analysis have arisen to tackle the use case in which there are relations between seemingly different objects, which is something FCA cannot do. However, the area of automatically using the conceptual data resulted from these methods is still immature in the sense of formalization and usage. In this Ph.D., the goal is to work in expanding the boundaries of knowledge regarding the existing algorithms, mainly looking for optimizations, and extending their current capabilities. Facultad de Informática Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 156-159
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
mathematical models
cyber-physical systems
data layer
spellingShingle Ciencias Informáticas
mathematical models
cyber-physical systems
data layer
Leutwyler, Nicolás
Formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures
topic_facet Ciencias Informáticas
mathematical models
cyber-physical systems
data layer
description The tendency in industry, manufacturing, and agriculture nowadays goes towards adopting the Industry 4.0 practices. Additionally, Internet of Things (IoT) has seen a huge increase in its usage over the last decade, and companies are eager to profit from the advantages it has offers. Between these tendencies, the usage of data as a means to increase productivity, or similarly, to minimize loss in production is found. In those lines, Formal Concept Analysis (FCA) is a clusterization method whose output is based on patterns of concepts (sets of objects and attributes). Some extensions such as Relational Concept Analysis have arisen to tackle the use case in which there are relations between seemingly different objects, which is something FCA cannot do. However, the area of automatically using the conceptual data resulted from these methods is still immature in the sense of formalization and usage. In this Ph.D., the goal is to work in expanding the boundaries of knowledge regarding the existing algorithms, mainly looking for optimizations, and extending their current capabilities.
format Objeto de conferencia
Objeto de conferencia
author Leutwyler, Nicolás
author_facet Leutwyler, Nicolás
author_sort Leutwyler, Nicolás
title Formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures
title_short Formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures
title_full Formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures
title_fullStr Formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures
title_full_unstemmed Formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures
title_sort formal methods for knowledge extraction and reuse from heterogeneous sources for semantic interoperability of distributed architectures
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/158885
work_keys_str_mv AT leutwylernicolas formalmethodsforknowledgeextractionandreusefromheterogeneoussourcesforsemanticinteroperabilityofdistributedarchitectures
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