La lucha contra el terrorismo y la delincuencia organizada: Una visión desde la lingüística y la ingeniería del conocimiento
The aim of Natural Language Processing is to create computational systems for the production and comprehension of language by machines. In this regard, symbolic approaches to language put forth conceptual models which represent both common and specialised knowledge. This paper describes the ontolog...
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Format: | Article |
Language: | English |
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Universidad de Zaragoza
2016-12-01
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Series: | Miscelánea: A Journal of English and American Studies |
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Online Access: | https://papiro.unizar.es/ojs/index.php/misc/article/view/6835 |
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author | Pedro Ureña Gómez-Moreno |
author_facet | Pedro Ureña Gómez-Moreno |
author_sort | Pedro Ureña Gómez-Moreno |
collection | DOAJ |
description |
The aim of Natural Language Processing is to create computational systems for the production and comprehension of language by machines. In this regard, symbolic approaches to language put forth conceptual models which represent both common and specialised knowledge. This paper describes the ontological modelling of the “collective criminal agent” and its implementation in FunGramKB, a knowledge base for language processing and artificial reasoning. More specifically, the study focuses on the conceptual definition of three terminological units from the domains of terrorism and organised crime: cartel, oriented cluster, and terrorist cell. The main assumption is that ontological modelling applied to language technologies can play a major role in combating a variety of security threats to today’s society.
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first_indexed | 2024-04-10T09:37:05Z |
format | Article |
id | doaj.art-0645edffd3c44405bcbc18d7ff8cfc24 |
institution | Directory Open Access Journal |
issn | 1137-6368 2386-4834 |
language | English |
last_indexed | 2024-04-10T09:37:05Z |
publishDate | 2016-12-01 |
publisher | Universidad de Zaragoza |
record_format | Article |
series | Miscelánea: A Journal of English and American Studies |
spelling | doaj.art-0645edffd3c44405bcbc18d7ff8cfc242023-02-17T16:29:06ZengUniversidad de ZaragozaMiscelánea: A Journal of English and American Studies1137-63682386-48342016-12-015310.26754/ojs_misc/mj.20166835La lucha contra el terrorismo y la delincuencia organizada: Una visión desde la lingüística y la ingeniería del conocimientoPedro Ureña Gómez-Moreno0Universidad de Granada The aim of Natural Language Processing is to create computational systems for the production and comprehension of language by machines. In this regard, symbolic approaches to language put forth conceptual models which represent both common and specialised knowledge. This paper describes the ontological modelling of the “collective criminal agent” and its implementation in FunGramKB, a knowledge base for language processing and artificial reasoning. More specifically, the study focuses on the conceptual definition of three terminological units from the domains of terrorism and organised crime: cartel, oriented cluster, and terrorist cell. The main assumption is that ontological modelling applied to language technologies can play a major role in combating a variety of security threats to today’s society. https://papiro.unizar.es/ojs/index.php/misc/article/view/6835Natural Language Processingknowledge engineeringontologyFunGramKBcrime |
spellingShingle | Pedro Ureña Gómez-Moreno La lucha contra el terrorismo y la delincuencia organizada: Una visión desde la lingüística y la ingeniería del conocimiento Miscelánea: A Journal of English and American Studies Natural Language Processing knowledge engineering ontology FunGramKB crime |
title | La lucha contra el terrorismo y la delincuencia organizada: Una visión desde la lingüística y la ingeniería del conocimiento |
title_full | La lucha contra el terrorismo y la delincuencia organizada: Una visión desde la lingüística y la ingeniería del conocimiento |
title_fullStr | La lucha contra el terrorismo y la delincuencia organizada: Una visión desde la lingüística y la ingeniería del conocimiento |
title_full_unstemmed | La lucha contra el terrorismo y la delincuencia organizada: Una visión desde la lingüística y la ingeniería del conocimiento |
title_short | La lucha contra el terrorismo y la delincuencia organizada: Una visión desde la lingüística y la ingeniería del conocimiento |
title_sort | la lucha contra el terrorismo y la delincuencia organizada una vision desde la linguistica y la ingenieria del conocimiento |
topic | Natural Language Processing knowledge engineering ontology FunGramKB crime |
url | https://papiro.unizar.es/ojs/index.php/misc/article/view/6835 |
work_keys_str_mv | AT pedrourenagomezmoreno laluchacontraelterrorismoyladelincuenciaorganizadaunavisiondesdelalinguisticaylaingenieriadelconocimiento |