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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Main Author: Pedro Ureña Gómez-Moreno
Format: Article
Language:English
Published: Universidad de Zaragoza 2016-12-01
Series:Miscelánea: A Journal of English and American Studies
Subjects:
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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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
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